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$80 - $150/hourpayPhysics MasteryWritten Technical CommunicationCritical Evaluation & Error DetectionCalibrated Technical JudgmentVerification & Cross-Checking Fluencymicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms., • Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology., • Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback., • Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement., • Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument., • Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate., • Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes. Preferred Qualifications • PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials)., • Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist., • Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links., • Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation., • Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars., • Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor., • Reliable access to high-speed internet and a computer suitable for rigorous technical work.

VoteShield (a project of _) seeks a highly motivated and civic-minded Data Scientist to join our growing team. VoteShield supports election officials in maintaining complete and accurate voter data in order to protect free and fair elections for all qualified voters. As a member of this world-class analysis and engineering team, you will analyze public voter registration data, work with election administrators, support Protect Democracy on a variety of data projects, and grow your technical skills. This position is remote* based in the US. Ideal candidates will be critical thinkers with a command of data analysis techniques and the ability to distill findings into clear, accessible reports, presentations, and other data tools. We are seeking people who bring an interest in civic data, commitment to non-partisanship, and passion for defending and strengthening our democracy through free and fair elections. At Protect Democracy, we bring an integrated advocacy approach to solving issues facing U.S. democracy. As a part of our integrated advocacy approach, our data scientists conduct analyses that support our mission alongside legal and policy experts, organizers, and communications strategists. Together, we run novel data experiments that address a range of critical pro-democracy use cases, from enhancing the in our elections to and accountable, to informing and inspiring advocacy for proportional representation. We do not expect that any one candidate will have all of the experiences and requirements listed — our current data science team comes from a variety of professional backgrounds, including academia and the public and private sectors. We highly encourage you to apply if the job description gets you excited about the role and the work of Protect Democracy & VoteShield. As a data scientist, you will: Review and analyze changes in public voter registration data and absentee ballot data in order to provide election officials with timely insights and answers to data questions; Write and present data reports that are accessible to the team, partners, and election administrators; Conduct legal/policy research as needed to provide context for your reports; contribute to research that utilizes VoteShield’s unique datasets and skills to assess election administration policies; Partner with colleagues across Protect Democracy to enhance their work with data analyses, custom tools, automation, and more; Expand and enrich our current data with external datasets; Create, refine, and document your standards for reporting, and compare and collaborate to develop best practices for the team; Build and maintain relationships with current and prospective partners in the election community. The ideal candidate brings: Interest in public or civic data and commitment to data-driven and non-partisan analysis; Ability to communicate a clear story with data, both in writing and presenting, that describes the context, insights, conclusions, and open questions; Proficiency in Python; A relevant bachelors degree, or equivalent experience; Growth mindset and comfortability with an open and transparent culture that values feedback up, down and sideways; Excellent critical thinking skills, demonstrated by enthusiasm for investigating novel problems and exercising sound judgment about how to get to optimal solutions; Rigorous attention to detail and the highest standards for excellence in execution; Ability to track, prioritize, and, where necessary, triage work in order to use time in the most efficient and productive way; Comfort working with small teams, proactively working to build the organizational culture and figure out what’s needed to move your work forward. Pluses, but not required: Experience in social science research; Knowledge of public policy and/or political science; Experience with election administration or voting data. Compensation The starting salary range is $84,300-$92,000, commensurate with the candidate’s relevant experience, capabilities and skills and in alignment with internal equity. About Protect Democracy *Flexible location. We are a remote-first organization based exclusively in the United States, meaning our staff work within the US and primarily virtually. We also offer shared workspaces for those who enjoy working in an office environment. We are established for remote work in many states across the country, and while candidates based anywhere in the United States are welcome to apply, we may not be able to offer employment in your current location. If you proceed in the hiring process, we will discuss where you currently live and what is possible in our initial interview. All staff are also required to travel at least two times per year to team retreats, and this role may require periodic travel. Accommodations to this requirement will be made only in exceptional circumstances. Commitment to an inclusive workplace. Protect Democracy is an equal opportunity employer. We believe that a broad range of backgrounds, perspectives, and lived experiences strengthens our ability to analyze problems, craft solutions, and drive meaningful change. Protect Democracy encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, or veteran status. Phenomenal benefits. Our benefits package includes generous sick leave and a flexible vacation policy where we encourage team members to take 4-5 weeks every year, along with 12 paid holidays, 6 weeks of paid family medical leave, and 18 weeks of paid parental leave. We also offer a 401(k) plan with up to 6% employer match that vests immediately. Additionally, we cover employee medical premiums at 100% (with up to 95% coverage for dependents depending on plan selection), and employee and dependent’s dental/vision at 100%. All employees have access to long-term disability and life insurance, fertility benefits, a home office stipend, and bonuses at the discretion of the Executive Director. Ample opportunities for personal & professional development. Candidates who do not meet all listed criteria should still apply, as our organizational structure focuses on providing mentorship and opportunities for professional growth. Applications will be reviewed on a rolling basis and our hope is that new team members will join us as soon as possible (and no later than September 2026). Important notes Contact _ if you require specific accommodations at any point in the hiring process. Keep an eye on your promotions/spam folders to avoid missed communication. We are unable to provide status updates for each application we receive. If you reach out and do not hear back, please know it is not for lack of appreciation or interest, but simply for lack of staff capacity to respond to individual inquiries. The application will include a voluntary EEO survey so that we can monitor the applicant pool as a whole for representation and equal employment opportunities, and to evaluate our progress as an organization toward a diverse and inclusive workforce, which we believe is a pillar of a thriving democracy. The categories used by the EEO survey are limited and may not reflect your lived experience; please feel free to opt out of any of the questions. Your responses to this survey are entirely separate from your application materials, are not accessible to those responsible for hiring decisions, and will not affect your candidacy in any way. Your application has been successfully submitted! _ We appreciate your interest in this position. Unfortunately, you have already applied for this job.

Full-time Description Binary Defense is seeking a talented Data Scientist / Software Engineer to join our team in a dual-discipline role bridging applied data science and production software engineering. This is not a research-only or notebook-only position — you will own the full lifecycle of data-driven capabilities, from hypothesis to deployed service running in our production environment supporting MDR operations and the NightBeacon product suite. Responsibilities • Design, build, and ship production-grade data and ML systems that operate against large-scale cybersecurity telemetry, including endpoint, network, identity, and cloud-derived signals., • Apply analytical, statistical, and machine learning techniques to collect, analyze, and interpret large cybersecurity data sets, and translate findings into deployable software., • Develop, test, and maintain backend services, APIs, and data pipelines that integrate ML models and analytics into Binary Defense products and SOC tooling., • Collaborate closely with software engineering, product, detection engineering, and security engineering teams to embed algorithms and analytics directly into our platforms., • Own code quality across the stack — write clean, well-tested, reviewed code; participate in design reviews; and contribute to architectural decisions affecting data and ML systems., • Operationalize models with appropriate monitoring, versioning, retraining, and rollback strategies (MLOps)., • Contribute to product, services, and detection engineering roadmap by identifying where data science and engineering investment will measurably improve outcomes for analysts and clients., • Develop data-driven solutions that ship — not prototypes that stall. Requirements Data Science • Master's or PhD in Computer Science, Machine Learning, Data Science, Statistics, or equivalent experience., • At least 3 years of experience as a data scientist, ML engineer, or applied research engineer, ideally supporting cybersecurity applications., • Working knowledge of linear algebra, statistics, probability, and the mathematics underlying modern ML., • Strong understanding of statistical modeling supervised and unsupervised learning, and the tradeoffs between classical ML and deep learning approaches., • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Experience with big data technologies (Spark, Hadoop ecosystem, or modern equivalents) and NoSQL data stores., • Experience with data visualization and analyst-facing tooling (Tableau, Power BI, D3.js, or similar). Software Engineering • At least 3 years of experience writing production software, with code shipped to real users in a team setting., • Strong proficiency in Python, plus working competence in at least one additional production language (Go, Rust, C#/.NET, Java, or TypeScript)., • Solid foundations in software design: data structures, algorithms, OOP and functional patterns, API design, and system design for performance and scale., • Experience designing and building REST or gRPC APIs and the services behind them., • Strong with relational and NoSQL database design, query optimization, and schema evolution., • Proficient with Git, modern code review workflows, and writing unit and integration tests., • Comfortable with CI/CD pipelines and shipping behind feature flags or staged rollouts., • Experience with containerization (Docker) and at least one orchestration or deployment platform (Kubernetes, ECS, or equivalent)., • Familiarity with cloud platforms — AWS, Azure, or GCP — including their managed data, compute, and ML services., • Excellent written and verbal communication; able to defend technical decisions and write documentation that engineers and analysts will use. Preferred • Direct experience applying data science to security problems: detection engineering, threat intelligence enrichment, behavioral analytics, malware classification, alert triage, or adversary attribution., • Experience with managed ML services such as Amazon SageMaker, Vertex AI, or Azure ML., • Familiarity with LLM-based systems, including retrieval-augmented generation, agentic workflows, evaluation frameworks, and prompt and model lifecycle management., • Experience operating in an Agile or continuous-delivery environment., • Knowledge of data privacy and security regulations such as GDPR, CCPA, or HIPAA, and experience handling sensitive customer data accordingly., • Familiarity with DevOps and SRE practices, including infrastructure-as-code (Terraform), observability (metrics, logs, traces), and incident response., • Background or prior role in threat intelligence, security research, security engineering, or SOC analysis., • Strong work ethic, intellectual honesty, and creative problem-solving — comfortable working through ambiguity and shipping under real deadlines. About Binary Defense Binary Defense is a leading Managed Detection and Response (MDR) provider, trusted by hundreds of organizations to protect what matters most. Our team of SOC analysts, threat hunters, detection engineers, and threat researchers work around the clock to deliver proactive, risk-focused security outcomes. We bring the attacker's mindset to defense, helping clients detect threats earlier, respond faster, and continuously improve their security posture. For more information, visit our, check out our, or follow us on. Binary Defense offers competitive medical, dental and vision coverage for employees and dependents, a 401k match which vests every payroll, a flexible and remote friendly work environment, as well as training opportunities to expand your skill set (to name a few!). If you’re interested in joining a growing team with great perks, we encourage you to apply!

Facet is a fully remote financial technology company with a mission to empower people to live more enriched lives by delivering a new standard of financial advice that elevates expectations across consumers and the industry. We believe that objective, personalized financial advice that integrates into every facet of life is essential to living well. People’s financial lives are dynamic and ever-evolving, so we cover everything money touches–from starting a business to buying real estate to your investments and much more. Facet believes financial advice should be delivered with a fresh, human-plus-tech approach, that includes a CFP® professional–the highest certification possible. As a Lead Data Scientist at Facet, you will push the limits of our analytics and predictive capabilities through research, experimentation, and data modeling techniques. You will join the Data Science & Analytics team within Facet tasked with modeling, understanding, and automating various aspects of our growth, margin, and retention initiatives in addition to product features. You will work with your teammates and stakeholders on both displaying the truth of the past, while doing your best to predict the unknown. You should be comfortable with communication, visualization, automation, software engineering, and reproducibility. This role is intended to wear many hats, but with a skew towards advanced & predictive analytics. You will also be involved with some reporting, data modeling, and visualization requirements. The perfect candidate loves being both a great analyst and scientist, and hungers to improve at both. Day-To-Day Responsibilities: As a Lead Data Scientist with a focus on both reporting and predictive modeling, your day-to-day responsibilities will include a mix of tasks related to data analysis, visualization, and predictive model development. Your core duties will consist of: • Exposing Insights: As a Data Scientist, your goal is not to just display data, but turn it into information. You will produce analysis reports and diagnostic models to try and discover hidden relationships and patterns between our data and metrics of interest., • Evaluate & Produce Quality: Good code is reviewed code. You will be involved in ensuring your and your teammates’ code is free from errors, bias, and is easy to understand., • Data Engineering: We are a newer team at a growing company, and you’ll need to do a lot of your own data engineering. Gather, clean, and preprocess data from various sources, ensuring accuracy and consistency. Perform feature engineering to generate new variables or transform existing ones to improve the quality and usefulness of the dataset. Tie all these tasks together in a pipeline and deploy on cloud based infrastructure., • Predictive Modeling: Develop, validate, and deploy predictive models using machine learning algorithms and statistical techniques, such as regression, classification, clustering, time series forecasting, and optimization., • Generative Modeling: Use a combination of open source and paid technologies to produce abstractions & novel features for other applications., • Continuous Improvement: Data Science is a quickly moving field and you’ll need to keep up to date. You will need to keep abreast of the latest developments in data science, machine learning, and reporting technologies, while incorporating them into your work when appropriate. Participate in knowledge-sharing sessions to contribute to the growth and development of others. Basic Qualifications: • 6+ years of experience in a data science or machine learning role, • Experience with business efficiency metrics, such as: Customer Acquisition Cost (CAC), Revenue Acquisition Cost (RAC), Retention, Margin, Annual Recurring Revenue (ARR), Lifetime Value (LTV), and Engagement., • Experience with at least one dashboarding tool, such as: Tableau, Power BI, Looker, Google Data Studio, Streamlit, Dash, etc…, • Proficiency with Python, • Proficiency with SQL, • Knowledge of machine learning algorithms and statistical techniques for predictive modeling, such as: Regression, Classification, Clustering, Time Series Analysis, and Optimization, • Proficiency with end-to-end pipelines, • Expert knowledge in model evaluation metrics, • Experience pulling data from various third party systems and APIs, • Proficiency with version control, • Proven ability to work both independently and as part of a team, • Proficiency with visualization in python, • Familiar with best practices in secure data handling and customer data privacy Preferred Qualifications: • Prior experience in the financial planning industry, • Prior experience in the consumer technology industry, • Prior experience using containers to produce repeatable and shareable code, • Prior experience with Natural Language Processing, • Prior experience with cloud deployment, • Prior experience with Neural Networks and/or LLMs, • $170,000 - $200,000 base salary + bonus determined by the experience, knowledge, skills, and abilities of the applicant - Please note, our salary ranges are based on current market data. Should you feel strongly that we are not in line, we highly recommend you to reach out and let us know. We are always looking to improve on building the best place for employees., • Equity, • Flexible PTO, • All the benefits: medical, dental, and vision insurance, 401(k) with employer match, short and long term disability coverage (paid by Facet), life insurance options and paid parental leave, • Certification reimbursement program, • Work from anywhere in the US

Summary We are seeking a senior data scientist to lead our demand modeling and product advancement efforts. As an early RightsHelper hire, you would help oversee and develop key components of our industry-leading RightsHelper platform. The ideal candidate has experience building and maintaining accurate and interpretable models for pricing, forecasting, or marketing applications in a fast-paced, enterprise environment. Our platform provides a unique opportunity for senior data scientists to work closely with leading sports and live event organizations in developing innovative techniques and advancing their decision-making. Job Functions • Develop (and improve upon) robust and extensible production demand modeling, sales forecasting, pricing, and ticket inventory optimization applications that successfully enable demand-based decision-making across sports and live event organizations., • Support junior Data Science team members in efficiently resolving complex issues that extend beyond existing documentation and guidance., • Perform model calibration processes for select partner organizations; this includes externally interacting with partner analytics leaders and successfully delivering on their specific priorities., • Improve internal and external RightsHelper modeling product documentation and internal process guidance., • Maintain and improve upon codebase with version control, collaboration, and general software development best practices., • Provide strategic input on product development, data collection, data architecture, front-end development, and general business strategy., • Help build a collaborative engineering culture focused on ownership and empathy for our customers. Required Experience • Bachelor’s or Master’s Degree in Statistics, Economics, Mathematics, Operations Research, Computer Science, or a related field., • At least four years of experience in revenue (yield) management, data science, statistical analytics, machine learning, consulting, or a related field., • Familiarity and good judgment with a broad range of modeling methodologies and tools, such as exploratory data analysis, regression models, simulation, discrete choice, optimization, Bayesian statistics, and causal inference., • Demonstrated excellence with statistical programming and development (R required, Python is a plus)., • Experience with using git/version control tools in a collaborative team environment., • Excellent reasoning, problem-solving, deduction, and communications skills., • Demonstrated ability to efficiently identify and solve complex problems in a fast-paced, entrepreneurial environment. Preferences • Experience with cloud computing (e.g. AWS, Docker) is a plus., • Proficiency with SQL and relational databases is a plus., • Knowledge of BI presentation tools and packages (e.g. R Shiny, Tableau, D3), web programming languages (e.g. HTML, CSS, JavaScript), and general programming languages (e.g. C, C++, Java) is a plus., • Knowledge of sports, concert, or ticketing industries is a plus. The base pay for this position is $120,000-$140,000. A bonus will be provided as part of the compensation package. Benefits • Medical, dental, and vision insurance, • 401(k) with employer match, • Paid parental leave (up to 14 weeks), • Flexible PTO About Us RightsHelper is a ticketing analytics and operations platform. Our team includes operators, data scientists, and engineers who have worked inside professional sports organizations and understand the complexity of managing ticketing businesses at scale. We partner with teams and rightsholders across sports and live entertainment to support smarter, more confident decisions—without compromising flexibility, transparency, or control.

Tiger Analytics is looking for experienced Data Scientists GenAI to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions. Responsibilities: • Work on the latest applications of data science to solve business problems, • Work directly with client stakeholders to translate business problems into high level analytics solution designs, • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value, • Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably, • Design and develop machine learning and Generative AI solutions using RAG, • Build LLM-powered applications leveraging Azure OpenAI and orchestrate workflows using LangGraph, • Develop agentic AI workflows for automation, insights generation, and decision support, • Implement Document Intelligence solutions for extracting insights from unstructured data, • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights, • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution, • 6+ years of experience working as a GenAI Data Science., • Proficiency in Python and SQL, • Experience with MLflow and model lifecycle management, • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications, • Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.), • Experience with Bedrock, JumpStart, HuggingFace, • Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming), • Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning, • Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.), • Experience developing models from inception to deployment 5-10 years of professional work experience with at least 5 years in Data Science., • Experience building end-to-end ML pipelines in production, • Familiarity with CI/CD pipelines, monitoring, and model governance, • Ability to design scalable and reliable AI systems, • Bachelor's in Business Analytics or equivalent work experience. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Figma is growing our team of passionate people on a mission to make design accessible to all. , Figma helps entire product teams , design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come _ with us! We are looking for an experienced Data Scientist to join our growing data team. At Figma, Data Scientists are deeply embedded within cross-functional teams across the company—from Product to Finance, Marketing, and Platform. We are hiring across a number of roles in these areas. This is ideal for someone excited to own high-impact data projects, partner strategically with stakeholders, and shape the future of our products and business. The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative mindset to guide decision-making and unlock growth opportunities. You’ll work on problems ranging from understanding user behavior to optimizing revenue strategies, improving internal tooling, and influencing product direction through experimentation and data modeling. This is a full-time role that can be held from one of our US hubs or remotely in the United States. • Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions, • Build models and analytical frameworks to support product, marketing, platform, or finance initiatives, • Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously, • Own complex data projects end-to-end—from problem scoping to solution delivery, • Champion data quality, accessibility, and the democratization of data across the organization, • Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact, • 4+ years of experience in Analytics, Data Science, or a related field, • Fluency in SQL and proficiency in a scripting language like Python or R, • Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark), • Strong foundation in statistical methods, experimentation, and/or forecasting, • A track record of working cross-functionally and communicating effectively with both technical and non-technical partners, • Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams, • A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range (SF/NY Hub): $136,000 - $338,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an _ - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to _. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: • Holding interviews in an accessible location, • Enabling closed captioning on video conferencing, • Ensuring all written communication be compatible with screen readers, • Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with _.

_, a venture-backed startup, is on a mission to bring brands to an AI-first future—where people increasingly rely on LLMs to discover, understand, and act on information that matters to them. As AI search and conversational agents replace traditional web search and browsing, Scrunch helps marketing teams rethink how their products and services are discovered and surfaced on AI platforms like ChatGPT, Claude, Gemini, and more—working with AI platforms, not against them. This shift represents the biggest change to marketing since the dawn of the internet. With $26M in backing from Mayfield Fund, Decibel, Homebrew, GTM Capital, and leading Silicon Valley founders and operators, Scrunch has scaled rapidly since commercial launch. Today, more than 500 paying brands—including Fortune 500 companies like Lenovo, category-defining brands like Skims, and breakout startups like Clerk—use the platform. We’re looking for a Data Scientist to help us build, measure, improve AI-augmented information retrieval and web visibility, spanning retrieval & ranking, NLP, experimentation, and knowledge graph / semantic web systems. You’ll partner closely with Engineering, Product, and Marketing to turn ambiguous questions into measurable work and shippable features. Location: Remote* *This role is Hybrid (3x/week) if you are located in NYC Metro Design, prototype, and productionize models/algorithms for retrieval, ranking, and relevance quality across web and AI-assisted surfaces. Build NLP pipelines (classification, entity extraction, topic modeling, sentiment analysis) and validate them with clear offline + online metrics. Own measurement and experimentation: hypotheses, experiment design, guardrails, and readouts that drive decisions. Develop simulation / modeling frameworks to forecast outcomes, test policies, and stress-test system behavior under different assumptions. Contribute to knowledge graph / semantic web work: schema design, entity resolution, and downstream ML / GenAI applications. Translate technical work into crisp narratives for stakeholders (product tradeoffs, confidence, limitations, and next steps). Contribute to external thought leadership where it makes sense (blog posts, talks, papers). Strong foundations in statistics, experimental design, and model evaluation. Hands-on experience with information retrieval / ranking / search relevance, ideally in AI-augmented contexts. Experience building and evaluating NLP models in production or research settings Proficiency in Python and SQL Strong communication: you can explain what you did, why it matters, and how confident you are, without hand-waving. Deep comfort with the web as a system (crawl/index realities, domains, content structure, measurement constraints). Experience working with non-representative data and making results more trustworthy through sampling-aware analysis (bias checks, adjustments, uncertainty). Work with noisy/partial labels, long-tailed queries, drifting content, and evaluation that mixes offline + online signals Reinforcement learning / control theory / optimal control applied to ranking, allocation, or policy optimization. Semantic Web / Knowledge Graph tooling (RDF/OWL concepts, graph DBs, SPARQL, entity resolution). SEO + AEO familiarity and the ability to connect technical visibility drivers to business outcomes. Marketing analytics experience (attribution-adjacent thinking, funnel measurement, incrementality). Publications in top-tier venues (e.g., SIGIR and related IR/NLP conferences) or equivalent demonstrated research depth. Languages: Python, SQL Data: BigQuery, Clickhouse, Postgres, dbt, Airflow ML/NLP: PyTorch, Hugging Face, Vector Databases Scrunch is an equal opportunity employer. We welcome people of all backgrounds, experiences, perspectives, and identities. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. Summary As a Sr. Data Scientist at Smarsh, you will be analyzing a wide range of unstructured communications data to address problems for our customers through attentive listening, astute planning, and out of the box thinking to develop solutions and reporting results in an engaging manner. The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis. This role offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency. • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms., • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities, • Data annotation and quality review, • Exploratory data analysis and model fail state analysis, • Methodology, results and insights reporting, including model Governance report drafting in collaboration with senior team members, • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes, • Providing guidance to junior team members on model development and EDA, • Working with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team’s tooling, technique and procedures, • Continued self-led personal development, • Bachelor’s degree in Computer Science, Applied Math, Statistics, or a scientific field, • 3-5 years’ experience working with data & analytics, • Experience working with Python, SQL and noSQL databases, • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse, • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…), • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming), • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…), • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.), • Experience with natural language processing toolkits like NLTK, spaCy, • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes, • Knowledge of Agentic Processing, • Familiarity with training and evaluating transformer-based models, • Understanding and Experience of NLP Techniques in traditional pipelines, metrics, process and evaluation for supervised and unsupervised learning., • Familiarity with Deep Learning techniques for NLP., • Familiarity with LLMs; using ollama & Langchain, • Excellent verbal and written skills, • Proven collaborator, thriving on teamwork, • Preferred Qualifications, • Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field, • Familiarity with cloud computing platforms (AWS, GCS, Azure), • Experience with automated supervision/surveillance/compliance tools $135,000 - $175,000 a yearThe above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process. The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training. About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is looking for a highly motivated Burning Plasma Scientist to join our Physics team, focusing on modeling energetic particle confinement and transport. In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning surrogates to accelerate our design cycles. You will work directly with our optimization team to ensure our magnetic topologies manage fast-ion loss and heat loads effectively.Key Responsibility Areas: • Execute and analyze high-fidelity simulations using particle-following codes to assess alpha particle and neutral beam ion confinement in 3D magnetic geometries, • Investigate Alfvén Eigenmode (AE) stability using kinetic-MHD hybrid codes and assess their impact on energetic particle transport, • Develop reduced-order models and ML surrogates trained on simulation databases to enable real-time prediction of pressure profiles, • Collaborate with the engineering team to iterate on coil designs and divertor configurations to minimize fast-ion losses, • Develop synthetic diagnostics (e.g. Fast-Ion Loss Detectors, Neutron Cameras) to bridge the gap between our models and future experimental campaignsIdeal Experience & Skillsets:, • PhD in Plasma Physics, Computational Physics, or related field (or Master’s / Bachelor’s with equivalent research experience), • Proficiency in programming languages commonly used in scientific computing (e.g. Python, Fortran, C++, or MATLAB), • Creative problem solving and proven ability to thrive in collaborative environments such as startups or research groups, • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally, • Passion for advancing the field of fusion energy research, • Familiarity with kinetic, MHD or particle-following codes, • Experience developing Machine Learning surrogates for physical systems, • Familiarity with energetic particle diagnosticsCompany Benefits:, • Salary range $135,000-$210,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needs Problem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical vision Leadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • Influence technical roadmaps and architectural decisions Requirements Required Qualifications • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated Plasma-Materials Scientist to join our team, focusing on plasma-facing material development. The ideal candidate will possess a strong background in the research and development of plasma-surface interactions, with particular emphasis on material survivability evaluation, plasma and heat-induced erosion processes, and plasma contamination effects in fusion-relevant environments. You will work with high autonomy and ownership, and contribute to cutting-edge research and development in Thea Energy’s stellarator systems.Key responsibilities: • Contribute to the construction and commissioning of a plasma device and diagnostics for exposing and evaluating plasma-facing material candidates., • Collaborate with plasma-material exposure facilities and use materials characterization tools for surface evaluation., • Provide technical guidance across team members in plasma device operation, plasma-material performance assessment and experimental planning., • Participate in stellarator plasma-facing component operational campaign planning., • Utilize computational and simulation tools to perform plasma-surface interaction simulations, thermal analysis, and contribute to multi-physics modeling efforts.Required Experience & Skillsets:, • Master's degree in materials science, engineering, applied plasma physics, chemistry, or a related field., • Knowledge of basic plasma physics., • Experience with vacuum systems., • Experience with experimental plasma setups and diagnostics such as industrial plasma sources, RF plasmas, spectroscopic diagnostics, laser-based diagnostics, and electrostatic probes., • Experience with surface analysis techniques such as electron microscopy, atomic-scale microscopy, and elemental composition analysis methods (e.g. XPS, EDX, Raman)., • Experience with one or more of the following: Python, MATLAB, FEA tools, COMSOL, C++, Fortran., • Ability to work independently and manage projects., • Strong attention to detail, • A passion for advancing fusion energy to commercialization., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Ideal Experience & Skillsets:, • PhD in applied plasma physics or a related field., • Experience with fusion boundary plasmas and/or low-temperature plasmas., • Experience with linear plasma devices., • Experience in tokamak or stellarator divertor research., • Experience with ERO2.0, TRIDYN, SDTrimSP/TRIM, WALLDYN, or RustBCA.Company Benefits:, • Salary range $100,000-$160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: Thea Energy is looking for a driven scientist in fusion plasma diagnostics to join our core team. This position involves supporting the design, development, and operation of critical plasma diagnostics and control systems for our Eos planar coil stellarator. The successful candidate will have a strong foundation in experimental fusion plasma physics. You will play a vital role in a fast-paced, multidisciplinary setting, directly contributing to the rapid integration of diagnostic capabilities to accelerate the Eos commissioning and subsequent experimental campaigns. These campaigns will encompass both scenario development and nuclear (DD beam-target fusion) operational phases. All experience levels will be carefully considered. Key Responsibilities: • Support the conception, deployment, and iterative refinement of critical plasma diagnostics for Eos., • Support the definition of the requisite measurement suite for all Eos operational phases, ensuring close alignment with the plasma control and physics teams., • Assist in the development of initial instrument concepts, spatial layouts, and detailed requirements, including necessary space and facility allocation, for proposed Eos plasma instrumentation., • Participate in the design and execution of comprehensive experimental campaigns, covering diagnostic calibration, rigorous validation, and in-depth data analysis., • Collaborate extensively with cross-functional engineering teams to ensure seamless integration of diagnostics into the Eos system., • Rigorously document all technical outcomes and decisions to inform and guide future design iterations., • Assist in the management and coordination of external research and development collaborations pertinent to Eos plasma diagnostics. Required Experience & Skillsets: Essential Qualifications: • M.S. or PhD in Plasma Physics, Applied Physics, or a closely related scientific discipline., • Relevant practical, hands-on experience developing and running experimental fusion plasma diagnostics., • Demonstrated track record of contributing to the successful management of diagnostics from initial concept through full commissioning and routine operation., • Familiarity with or experience in key fusion plasma diagnostic methods, such as Thomson scattering, X-ray spectroscopy, ECE, microwave interferometry, fast-ion diagnostics or magnetic field measurement techniques., • Proven experimental proficiency, including instrument calibration, advanced signal processing, and robust data analysis., • Outstanding skills in both written and verbal technical communication. Highly Desired Attributes: • PhD specifically in experimental plasma physics., • Sufficient engineering knowledge to facilitate effective, high-bandwidth interaction with multidisciplinary engineering teams., • A strong personal commitment to developing commercially viable fusion energy products.Company Benefits:, • Salary range $110,000 - $160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding. Key Responsibilities • Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes., • Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets., • Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models., • Analyze healthcare datasets including claims, patient, provider, operational, or clinical data., • Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions., • Monitor model performance, retrain models, and optimize algorithms for production environments., • Mentor junior data scientists and provide technical leadership across the project., • Ensure compliance with healthcare data privacy and governance standards., • 8–10 years of experience in Data Science / Machine Learning roles., • Strong hands-on expertise in Forecasting models (time series, demand forecasting, predictive analytics)., • Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras., • Proven experience building Generative AI / Explainability models using LLMs, SHAP, LIME, or similar frameworks., • Mandatory experience working in the Healthcare domain., • Strong programming skills in Python, SQL, and ML libraries., • Experience with cloud platforms such as AWS, Azure, or GCP preferred., • Excellent stakeholder communication and leadership skills. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd®, Slideshare®, Everand™, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. This posting reflects an approved, open position within the organization. About the team The Applied Research team is a group of data scientists and content specialists who are experts in leveraging machine learning, natural language processing and generative AI models to develop solutions which deliver value to our users and business. We act as a key driver for innovation, whether it’s in product surface experimentation, metadata generation or model development. Along with Product and Engineering partners, we design solutions and collaborate in cross-functional squads to maximize business impact. Our areas of impact include content enrichment, representation learning, recommendations, search, translation and many others, applied to diverse media across text, image, and audio. We operate at a scale of hundreds of millions of documents, millions of users and billions of user interactions. Role Overview We are seeking a Data Scientist II with experience developing and deploying machine learning models. You will help design and implement high impact AI and ML systems. We work in cross-functional teams collaborating with Machine Learning Engineers, Data Engineers and Product. We are seeking a curious and collaborative individual with an eye for simplicity, end-end visibility and impact and that is excited about building models using massive amounts of data, using language models and deploying models. Responsibilities Focus on a variety of content classification use cases, leveraging everything from traditional NLP to sophisticated LLMs and generative models Investigate methods of solving our most challenging problems at Scribd, at scale Collaborate with other Data Scientists, Machine Learning Engineers and ML Data Engineers on cross-functional projects Leverage any algorithm at your disposal: from classical Scikit-learn and NumPy models to custom Neural Networks in PyTorch to third party LLM APIs Process massive amounts of data with Python, SQL and Spark Align with stakeholders through written and verbal communications methods on the approaches and results of projects, while writing detailed, accurate and concise project documentation Requirements 3+ years of post qualification experience developing machine learning models, working with systems at scale and deploying to production environments. Proficiency in Python. Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar. Intermediate level in at least three of these fields: classification algorithms, natural language processing, search, information retrieval, named entity recognition, deep learning, generative models. Intermediate level or greater experience with SQL or PySpark. Bachelors or Masters in relevant quantitative discipline including but not limited to Statistics, Computer Science, Data Science, Artificial Intelligence or another field with a strong quantitative focus. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $118,000 [minimum salary in our lowest geographic market within California] to $184,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $97,000 [minimum salary in our lowest US geographic market outside of California] to $175,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $123,000 CAD[minimum salary in our lowest geographic market] to $164,000 CAD[maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits at Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools Get to Know Scribd, Inc. _ _ We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process. Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

About Sleeper: Sleeper is one of the fastest growing sports platforms in the US. As the leader in Fantasy Sports, Sleeper’s product portfolio includes a variety of free-to-play Fantasy Sports and real money Daily Fantasy Sports (“DFS”) games and applications. Our growing list of titles spans a diverse range of sports leagues, including the NFL, NBA/WNBA, MLB, NHL, EURO, and other soon-to-be released offerings. We are seeking a Data Scientist with relevant DFS or Sportsbook experience to help support our risk and trading function. Responsibilities: Support risk and liability management with respect to Sleeper’s DFS operations, conducting data analysis and modeling to identify trends, patterns, and insights. Develop predictive models and algorithms to better understand Sleeper’s real-time liability, including risk exposure related to specific markets and events. Conduct data wrangling, processing and cleaning operations, and design processes, as well as tools for monitoring and analyzing performance and accuracy. Monitor all pricing for real-time odds, active player statistics markets, breaking news, and other relevant information to make real-time market adjustments / suspensions, while also ensuring that data flows from external partners are being recorded timely and accurately. Build out user risk profiles, staying close to behavior patterns and trends, and collaborate with product and engineering teams to enhance personalization within our DFS ecosystem. Automate risk and trading processes to scale for growth in users, sports, and markets in support of all game operations, and contribute to research and innovation for this function as a whole. Qualifications: Background in computer science, data science, machine learning, mathematics/statistics, or a similar field with related experience. Comfortable working with and analyzing large data sets. In-depth knowledge of DFS, sports betting, player props, handicapping, expected value, and closing line value. Ideal candidates have extensive experience with high volumes of DFS/sports betting and real money games, either as a trader, +EV bettor, and/or oddsmaker. Proactive – ready to hit the ground running; excited about the idea of building out processes from scratch, and not afraid to break the “sports trading mold”, challenging how the industry has historically approached risk management and trading. Comfortable working “off hours” to align with peaks in the sports calendar. This will often include nights and weekends. We are generally quite flexible and will work with you to ensure an appropriate work/life balance is molded around game schedules. Knowledge of SQL, Python, and/or related software/tools, and familiarity in working with databases, data warehouses, data visualizations and report building. Experience with player performance metrics, game outcome predictions, in-game event modeling, as well as working with real-time sports data feeds and APIs. Additional Information: We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role. For this role, in this particular location, a reasonable estimate of the base salary range for new hires is between $75,000 USD to $150,000 USD, plus benefits including Medical, Dental, PTO, and 401k. Please note that the salary range for this role takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by sending an email to jobs@sleeper.app. Headquartered in Las Vegas, NV, Sleeper is backed by Silicon Valley’s top investors, including Andreessen Horowitz, General Catalyst, and Expa. To learn more, visit us online at: _

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking a highly experienced Senior Data Scientist with deep expertise in demand forecasting and time-series modeling. The ideal candidate will have strong applied experience building, deploying, and scaling forecasting solutions in production environments, particularly within CPG, FMCG, retail, or similar industries. Key Responsibilities • Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS, • Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM, • Develop hierarchical and multi-level forecasting solutions across products, regions, and channels, • Perform large-scale data extraction, transformation, and analysis using SQL, • Implement and operationalize models in cloud environments (Azure preferred), • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions, • 10+ years of experience in applied data science or advanced analytics, • 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting, • Strong domain experience in CPG, FMCG, retail, or similar industries, • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels), • Strong SQL skills for large-scale data processing, • Proven experience deploying models in cloud environments (Azure preferred) This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Location: Arlington, VA; Pittsburgh, PA; or Remote Travel: Up to 75% Role Type: Full-time $140-$175K + up to 30% bonus + Equity We are a premier defense technology firm transforming National Security through software-driven strategic advantages. Our flagship AI-enabled platform modernizes the defense acquisition lifecycle—from supply chain and logistics to modernization and sustainment. By replacing outdated manual processes with high-fidelity data and advanced analytics, we empower the national security community and every branch of the military to make faster, more informed decisions for the future of defense. We are seeking an inquisitive Forward Deployed Data Scientist with deep expertise in Artificial Intelligence and a sophisticated understanding of complex Defense Acquisition challenges. You will work with proprietary and commercial datasets to uncover critical connections, derive actionable knowledge, and identify potential risks that help government leaders make mission-critical decisions. Your role involves designing, developing, and rapidly deploying scalable AI solutions that transform data into strategic capabilities. You must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem. The ideal candidate is a highly organized problem-solver and a "scrappy" out-of-the-box thinker. You lead by influence, possess an intolerance for mediocrity, and are motivated to roll up your sleeves to produce simple, impactful solutions to complex problems. AI Innovation: Develop and deploy new AI methods and systems to solve complex defense challenges. Rapid Prototyping: Build AI models, heuristics, and agentic solutions from the ground up. Client Engagement: Work directly with customers to translate vague mission needs into concrete AI workflows and technical requirements. End-to-End Ownership: Take full accountability for client problems, from initial discovery to deploying production code into AI systems. Cross-Functional Collaboration: Partner with AI platform and data engineering teams to build end-to-end production solutions. Generalization: Wrap specific Data Science solutions into reusable agentic AI frameworks and features for broader deployment. Agentic Systems: Create agentic AI systems using AI orchestrators and advanced reasoning capabilities. U.S. Citizenship is required. Required Skills: Technical Translation: Proven ability to embed with clients, understand vague national security challenges, and translate them into concrete technical documentation for multiple teams. Prototyping & Deployment: Expertise in rapidly prototyping agentic solutions and deploying production-grade code. Impact Measurement: Experience evaluating, tuning, and measuring the real-world impact of AI/DS solutions. Agentic Frameworks: Competency in building agent skills to solve specific problems and integrating those solutions into broader frameworks. Communication: Strong ability to communicate complex concepts clearly to both technical and non-technical users. Desired Skills: Academic Excellence: A strong publication record in top AI, ML, NLP, or Decision Science conferences. Evaluation Systems: Deep knowledge of LLM and Agentic system evaluation. Specialized Domains: Expertise in Operations Research, Optimization, or Decision Science. Enterprise Scaling: A track record of successfully transitioning research prototypes into robust, production-grade enterprise solutions.

We’re looking for a Data Scientist to join our growing team and help develop AI solutions at the intersection of oncology, precision medicine, and drug development. In this role, you will work closely with data scientists, engineers, scientists, and product to turn complex biomedical data into meaningful AI-driven workflows. You will contribute to research, experimentation, and model development across digital pathology, clinical data, and LLM-based applications. This is a great opportunity for someone who wants to grow in a highly interdisciplinary environment, learn from an experienced team, and take part in building technology that can support the future of precision oncology. • Develop and evaluate ML, deep learning, and LLM-based workflows for digital pathology and oncology data., • Build data and model pipelines for biopsy images, clinical records, reports, and other biomedical datasets., • Use LLM tools and coding assistants to accelerate research, analysis, prototyping, and workflow automation., • Design and run experiments, analyze model performance, and translate results into clear conclusions., • Collaborate with data scientists, engineers, pathologists, and clinical experts to turn research questions into working AI solutions., • BSc or MSc in Software Engineering, Computer Science, or a related field, • 5+ years of experience in deep learning and machine learning algorithm development., • 3+ years of experience developing instance segmentation models., • 2+ years of experience working with LLMs and prompt engineering., • Experience using AI coding tools such as Cursor, Claude Code, or similar tools., • Strong analytical skills, attention to detail, and ability to learn quickly. Position terms: • Location: Remote (in the USA)

This vacancy is part of a coordinated recruitment campaign for the Data Science Unit across Technopolis Group's offices. To check the general requirements or explore other locations, return to the _. Job title: Experienced Policy Data Scientist Consultant Location: Brussels Position: Full time / Permanent Technopolis Group is looking to grow its data science team. We are now looking to recruit a motivated and experienced Policy Data Scientist to join our Brussels team as a Consultant. About Technopolis Founded in 1989, Technopolis Group is an independent research and consultancy company, European leader in providing strategic policy advice to public sector institutions at the local, regional, national, and international levels (such as the European institutions) – as well as to third sector organisations, public-private partnerships and research organisations.Our Group is active in many areas such as R&I, Health, Higher Education, Green economy, Industry and entrepreneurship, Regional and urban development, Digital economy and Open science.We have grown steadily over the past 30 years and have and a track record of over 4,000 projects. Technopolis Group has offices in ten European cities and offices in Colombia (Bogotà) and Ivory Coast (Abidjan). Our team of consultants brings an educational mix in a variety of policy, social, environmental science disciplines, and linguistic richness, originating from 40+countries and covering 30+ languages.For more information: www.technopolis-group.com The team The selected person will be part of the Technopolis Group Data Science Unit (DSU), whose members work in different country offices. The growing team of DSU data scientists have diversified academic backgrounds but a shared passion for developing data science applications to improve policymaking. The unit works in policy consulting jobs for our clients but also conducts R&D to develop new, untested and exciting applications, potentially in collaboration with internal and external partners.The DSU is active in all types of data science applications in policymaking. See https://www.technopolis-group.com/solutions/data-analytics/. Examples include record linkage, building classifiers, semantic and sentiment analysis, web scraping and dynamic visualisations. Additionally, the team is looking forward to expanding its portfolio of techniques using real-time indicators, causal AI and generative AI. Experience in these last techniques, or a general understanding of their functioning combined with a demonstrable willingness to master them, is highly desirable.Main tasks and responsibilities The successful candidate will : • Shape policy recommendations using advanced data science methods and translate results into actionable messages for decision-makers, • Apply suitable data science techniques to deliver evidence-based consulting, • Develop and promote a proportionate and ethical use of AI and, • data science techniques, • Extract, clean, integrate and validate data from various sources to ensure high-quality datasets, • Develop dashboards and data visualisations to communicate insights effectively, • Prepare reports and presentations tailored to different target audiences, • Explain the strengths, limitations and opportunities of data science methods and internal databases to clients and non-technical colleaguesExperience and skills Applicants suitable for a Consultant position in data science should have: • A minimum of 3-5 years of experience in a consulting or research environment in data science applied to policy analysis, • A Master’s degree (or equivalent qualification) and demonstrate strong data science skills acquired through formal education (degree in data science, statistics or related), specialised training, or relevant professional experience. At least one of their academic degrees should be in a social science or a related field (such as economics, statistics, innovation studies, sociology, geography, or political science…) or include a strong foundation in the social sciences, • A PhD is a plus, • Knowledge of Python is required, knowledge of R and SQL is an advantage, • Experience of techniques such as NLP, machine learning, and LLMs is particularly desirable, • Experience with tools such as Git and Github, Docker and cloud platforms is highly desirable, • Beyond data science, applicants must have interest and experience in applied, policy-oriented work in at least one of Technopolis’ areas of specialisation. Our policy areas include science, technology and innovation policy, digital economy, climate and sustainability, entrepreneurship, health and life sciences, education and skills, international development and regional development., • Ability to deliver tasks under tight deadlines, • Strong communication and analytical skills, • Excellent command of spoken and written English is essential and fluency in other European languages is considered an assetWhat we offer, • A full time, permanent position, • An attractive salary package with benefits including hospitalisation insurance and a pension scheme, • A positive working atmosphere within a team of like-minded professionals in Brussels, while also being part of a larger international Group with multiple opportunities for international cooperation, • Good opportunities for career progression, from both a content perspective (thought leaders, methodological specialists) and in the areas of business development and company leadership We are committed to providing our employees with a supportive and rewarding work environment, and we offer a range of benefits to help them achieve their career goals and thrive in their roles.Career development: We believe in investing in our employees' professional growth and offer a range of opportunities for career development, including training programs, mentoring and coaching, and the chance to work on a variety of challenging projects across different sectors and regions. Our employees have access to a network of experts across the Technopolis Group, allowing them to learn from and collaborate with colleagues in other countries and areas of expertise.Work environment: We pride ourselves on our dynamic and supportive work environment, which is characterised by a culture of collaboration, innovation, and excellence. Our employees work in modern and comfortable offices, and we promote a healthy work-life balance with flexible working hours and the option of working from home. We also offer social events and activities, such as team-building exercises and cultural outings, to foster a sense of community and help our employees build strong relationships with their colleagues.We are an equal opportunities employer and welcome applications from all suitably qualified persons with a residency and work permit in Belgium. How to apply Applications can be done directly on Technopolis website (reference: DS0525) and include a cover letter and an Europass-style CV. Application deadline: 13 June 2025. Early applications are encouraged. Applications will be assessed on a rolling basis until the position is filled. Only short-listed candidates will be contacted. Applicants should have the EU citizenship or a valid work permit to apply.

We are looking for a senior-level ML expert with deep experience in Speech AI, ideally focused on TTS / Voice Generation, to help build and scale production-grade speech systems. This is a highly hands-on role for someone who combines strong research capabilities with real-world production experience and can operate effectively in a fast-moving startup environment. • 5+ years of experience in Speech AI, preferably TTS / Voice Generation, • TTS has been a primary focus in recent years, • Hands-on experience training and fine-tuning TTS models, • Proven experience deploying ML models into real production environments, • Strong understanding of inference, latency, scaling, monitoring, and reliability, • Strong ML background overall (ML Scientist / ML Engineer trajectory), • Strong coding and engineering skills, • Develop and improve TTS / Voice Generation models, • Train, fine-tune, and evaluate speech models, • Bring research ideas into production systems, • Work across research, engineering, and product, • Help define technical direction and ML best practices, • Drive execution in a fast-changing environment, • Collaborate closely with engineering, product, and business stakeholders, • Experienced team, Acclaim is formed by a team of enthusiastic professionals who have created award-winning devices, voice assistants, and other AI-driven products for BigTech corporations, • Cutting-edge technologies, we build technologies using our areas of expertise, including Computer Vision, Speech Technologies, Natural Language Understanding, Generative AI, etc. LLM and Diffusion models, • Rapid career progression, facilitated by our team of seasoned senior professionals who hail from prestigious, industry-leading companies, • Remote work opportunities from Europe / US, • The company has prominent clients with an opportunity for you to work on different projects and/or to be involved in developing our proprietary products, • A company with entrepreneurial spirit. We offer a secure workspace, thanks to the big clients we've raised, along with a true start-up culture.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the _ to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process _. We are looking for a Staff Data Scientist for our Ads Delivery. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you’ll do: • Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks., • Lead projects on:, • Pinner LTV, • Tradeoff between ads and organic engagement, • Ads Delivery opportunities across different funnel stages, • Design and productionize robust, scalable ML and evaluation frameworks—spanning forecasting, recommendation, and causal inference., • Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact., • Collaborate across disciplines—Product, Engineering, Research, Business, and Design—translating complex data questions into actionable business insights., • Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence. What we’re looking for: • 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics., • Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience., • Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark., • Strong product intuition—ability to scope, question, and design the right solutions for ill-defined, high-impact business problems., • Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes., • Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences., • Track record mentoring and growing data talent at the staff/senior IC level., • Cross-functional leadership and the ability to align competing interests towards shared goals. Relocation Statement: • This position is not eligible for relocation assistance. Visit our_ page to learn more about our working model. In-Office Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role., • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-NM4 #LI-REMOTE

Prominence Advisors is actively seeking a Senior Data Scientist to join our team. Who We Are Prominence is a healthcare and life sciences technology and consulting firm dedicated to helping leading organizations do more with their data. With deep expertise across the full ecosystem — spanning providers, payers, and life sciences — we turn complex data into actionable insight. We deliver a full spectrum of services, including advisory, analytics, optimization, and IT staffing. Our work helps organizations operate more efficiently, improve patient outcomes, and deliver measurable financial impact through smarter use of data. Recognized as a 2x Best in KLAS organization, we partner with more than 120 health systems and 40 life sciences organizations, including 7 of the top 10 U.S. News & World Report-ranked institutions. Through our life sciences brands, Tegra Analytics and WLH Consulting & Learning Solutions, we extend these capabilities to pharmaceutical and biotech organizations — combining data, consulting, and learning to advance commercial excellence. By connecting strategy, data, and execution, we help organizations translate data into clarity, strategy into action, and vision into measurable results. At our core, we are a people-first, values-driven organization that believes strong teams and trusted partnerships are what ultimately make healthcare and life sciences smarter. Job Summary Prominence is looking for a Senior Data Scientist with deep experience in applied machine learning, statistical modeling, and generative AI to help deliver advanced analytics solutions alongside some of the nation's leading healthcare providers. This role will design, build, and deploy models and AI-powered applications that help healthcare organizations improve patient outcomes, optimize operations, and accelerate research. Helping our customers harness the power of generative AI by building LLM-powered applications that unlock new possibilities for clinical and operational workflows. • Design, build, validate, and deploy machine learning models across the full data science lifecycle, including exploratory analysis, feature engineering, model development, validation, deployment, and monitoring., • Develop advanced analytics solutions for clinical prediction, population health, operational optimization, and research enablement., • Build AI-powered applications leveraging LLM APIs, prompt engineering, and RAG pipelines to support clinical and operational workflows., • Ability to work with diverse healthcare data sources including EHRs, claims, and clinical registries., • Translate complex analytical findings into meaningful, actionable insights for clinical and operational stakeholders., • Manage documentation of best practices and scalable frameworks that can be applied across client engagements., • Mentor and guide client counterparts to build the skills needed to sustain and expand on project deliverables. Minimum Qualifications • 3–5+ years of professional experience in data science, machine learning, or a closely related quantitative role., • Strong proficiency in Python for data science (pandas, NumPy, scikit-learn) and SQL for data extraction and manipulation., • Hands-on experience building, validating, and deploying machine learning models (classification, regression, clustering, time-series forecasting)., • Experience with MLOps best practices (model versioning, CI/CD for ML, experiment tracking with MLflow or similar, continuous monitoring)., • Practical experience building AI-powered solutions using LLM APIs, prompt engineering, and RAG pipelines., • Experience with cloud-based data and ML platforms, including at least one of the following: AWS (SageMaker, Redshift, S3), Azure (Azure ML, Synapse, Data Factory), GCP (Vertex AI, BigQuery), Databricks, or Snowflake., • Strong communication skills with the ability to present technical findings to non-technical audiences. Desired Qualifications • Healthcare industry knowledge and experience including EHR data, claims, HL7/FHIR, clinical terminologies., • Experience with population health analytics, risk stratification, or social determinants of health., • Understanding of research enablement workflows including cohort identification, clinical trial matching, and outcomes research., • Experience with vector databases, embeddings, fine-tuning, or LLM evaluation frameworks., • Familiarity with data visualization and BI tools (Tableau, Power BI, or Looker)., • Revenue cycle, staffing optimization, or other operational analytics experience., • Advanced degree (Master's or PhD) in a quantitative field such as computer science, statistics, biostatistics, or a related discipline Skills, Knowledge, and Abilities • Professional: Demonstrates a high degree of professionalism by treating others with respect, keeping commitments, building trust within the team, working with integrity, and upholding organizational values ("Do Great Work and Move Mountains”)., • Organized: Capable of managing multi-faceted work streams efficiently, ensuring smooth project flow., • Self-Motivated: Adept at managing personal schedules, meeting deadlines, and monitoring work quality independently., • Highly Adaptable: Quickly acclimates to new project assignments and diverse work environments., • Creative: Approaches problems with a solution-oriented mindset, working collaboratively to find novel solutions., • Communication: Effectively conveys clear and concise messages that resonate with the intended audience, both in written and verbal forms., • Proactive: Anticipates potential issues, addresses concerns before they escalate, and effectively raises them when necessary., • Team-Oriented: Passionate about mentoring and guiding others, thrives in a team-based environment. Physical and Medical Standards, Working Conditions and Environment • Must be able to sit or stand at a computer and work remotely and independently from personal home office, • Willingness to travel for onsite meetings and business reviews as needed Hours Worked This is a Full Time, 40 hour per week position. This role is part of our active pipeline for upcoming client engagements and is contingent on project availability, with timing aligned to client demand. Prominence is dedicated to hiring the best and brightest minds in healthcare and maintaining a culture that rewards our employees for following their passion. We are excited to offer the following benefits for this position: • Competitive Salaried and Hybrid Compensation Plans, • Health Care Plan (Medical, HSAs, Dental & Vision), • Retirement Plan (401k), • Life Insurance (Basic, Voluntary & AD&D), • Dependent & Health Savings Accounts, • Short Term & Long Term Disability, • Paid Time Off (Vacation/Sick & Public Holidays), • Training & Development Fund, • Work From Home, • Charitable Giving to Causes You Believe In Must be legally authorized to work in the United States without sponsorship. The world’s most talented professionals come from every background. All applicants will be considered for employment without attention to age, race, color, religion, gender identity and/or expression, sexual orientation, national origin, marital status, veteran or disability status, or any other characteristic protected by law. In addition, Prominence will provide reasonable accommodations for qualified individuals with disabilities. If you are smart and good at what you do, come as you are. All qualified candidates are encouraged to apply. Our partnerships are extremely important to us. This online application is not intended for anyone who is currently under a non-compete agreement or has an arrangement that precludes employment at Prominence. We appreciate your help in respecting our partners. Interested in learning more? Apply below to connect with our Talent team about immediate openings and future consulting projects.

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. _ Instacart’s Shopping Experience team is focused on making it effortless for people to discover, plan, and shop the food that fuels their lives. We’re building intuitive, trustworthy experiences that help customers find inspiration, make healthier choices, and get from idea to checkout with confidence. We’re looking for a Senior Product Manager to lead our Health product area. In this role, you will shape the vision, strategy, and roadmap for how Instacart helps customers discover and shop food that honors dietary needs and helps them achieve their health goals. You’ll partner closely with design, research, engineering, data science, and go-to-market teams to translate deep user empathy into delightful, impactful products. This is a highly visible, zero-to-one opportunity—ideal for someone who thrives in ambiguity, rolls up their sleeves to execute, and loves building startup-style products within the scale of Instacart. You’ll join a focused pod within Shopping Experience with 6 engineers, 1 data scientist, 1 designer, and 1 user researcher, and collaborate across a broader group of product managers in the organization. The features you ship will be used by millions of customers every week, giving you the chance to drive meaningful outcomes at scale. We’re a remote-friendly, fast-moving team that values clear communication, ownership, and collaborative problem solving to serve customers better every day. • Own the end-to-end product strategy and roadmap for Health within Shopping Experience, driving zero-to-one bets from discovery through scaled launch and iteration., • Partner with design and research to deeply understand customer needs across inspiration, dietary filters, and health-forward discovery; translate insights into simple, elegant product experiences., • Define success metrics and run a rigorous experimentation program (A/B tests, multivariate tests) to improve core outcomes such as engagement, conversion, and retention., • Work cross-functionally with engineering, data science, operations, partnerships, legal, and privacy to deliver responsibly built features at scale, balancing speed with quality and compliance considerations., • Build alignment across diverse stakeholders, communicate tradeoffs and decisions with clarity, and ruthlessly prioritize to maximize customer and business impact in a fast-paced environment. You combine customer obsession with data-driven decision making, communicate crisply across functions, and are energized by turning ambiguity into clear, measurable outcomes. • 6+ years of product management experience building consumer products, including ownership of end-to-end user experiences from discovery through launch and iteration., • Proven track record shipping zero-to-one products with measurable impact (for example: improved conversion, retention, or engagement) and scaling them to broad adoption., • Hands-on experience collaborating with product design and user research to convert insights into clear PRDs, prototypes, and shipped features., • Data fluency with experimentation and analytics (for example: defining success metrics, partnering on A/B tests, interpreting results; SQL proficiency or equivalent analytics tooling experience)., • Experience operating in highly cross-functional environments, influencing without authority, and aligning multiple stakeholder groups to a clear roadmap., • Bachelor’s degree in a relevant field (such as Computer Science, Engineering, Design, Business, or a related discipline) or equivalent practical experience., • Experience in health, nutrition, wellness, or other regulated consumer product spaces., • Background in e-commerce, marketplaces, personalization/recommendation systems, search, or content experiences., • Startup or “startup within a startup” experience leading products from zero-to-one in high-ambiguity, fast-moving environments., • Familiarity with third-party integrations relevant to health (for example: recipes, nutrition data, or health data platforms)., • Exceptional storytelling and communication skills, including the ability to drive alignment across executive and cross-functional audiences. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy _. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings _. For US based candidates, the base pay ranges for a successful candidate are listed below. CA, NY, CT, NJ $221,000 - $233,000 USD WA $212,000 - $223,500 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $203,000 - $214,000 USD All other states $184,000 - $194,000 USD

The Data Scientist will work closely with the Product, Data, and Research teams to analyze labor market trends, workforce dynamics, and economic patterns. The role involves cleaning, organizing, and interpreting large-scale datasets to develop innovative models, datasets, and visualizations that provide actionable insights into the future of work. The ideal candidate will demonstrate strong statistical thinking, a solid grasp of machine learning principles, and the ability to apply core methodologies such as predictive modeling, econometric analysis, and time series forecasting. This position requires a collaborative mindset to work cross-functionally, ensuring the seamless integration of analytical insights into Lightcast's products and services. • Use SQL, Python, or other analytical tools to query, clean, and analyze large datasets., • Analyze labor market trends across dimensions such as workforce composition, job demand, employment patterns, and wage dynamics., • Apply advanced techniques including time series forecasting, clustering, regression analysis, and machine learning algorithms (e.g., decision trees, random forests, gradient boosting, support vector machines, k-means clustering) to identify patterns and forecast labor trends., • Build and maintain scalable data and model pipelines using orchestration tools like Apache Airflow, Luigi, or Sagemaker Pipelines, and model tracking tools such as MLflow., • Collaborate cross-functionally to define problem statements, gather and analyze data, integrate models into products, and translate insights into actionable recommendations for technical and non-technical audiences., • Stay informed on advancements in labor market analytics, statistical modeling, and machine learning technologies., • Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field., • 2+ years of industry experience or academic research applying statistical or machine learning approaches to real-world data problems., • 2+ years of experience in labor market analytics, workforce intelligence, or related domains (preferred)., • Proficiency in Python, SQL, and machine learning libraries such as Scikit-learn or PyTorch., • Demonstrated ability to write clean, scalable code and independently prototype data solutions., • Solid understanding of machine learning techniques such as classification, regression, and time-series forecasting., • Experience with cloud platforms (e.g., AWS) and orchestration tools like Apache Airflow for managing large datasets and workflows., • Strong statistical reasoning and ability to translate complex data into strategic business insights., • Excellent interpersonal, written, and verbal communication skills, with the ability to convey technical topics to diverse audiences., • Experience working with large labor market datasets (e.g., government labor statistics, survey data, or job market intelligence platforms) (preferred)., • Proficiency with data visualization tools such as Tableau, Power BI, or Plotly (preferred)., • Familiarity with Natural Language Processing (NLP) techniques and applications (preferred).Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities. Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are looking for senior leaders in data science roles who have experience within technology companies or tech-adjacent environments, value learning, growth, and community and who are passionate about developing and coaching people in their field. As a Mento coach, you will form 1:1 partnerships with our members to help them identify & track clear goals, become a better leader, communicate more effectively, problem-solve issues at work, and help them feel happy, fulfilled, and engaged at work and beyond. All Mento coaches, regardless of coaching experience, are required to participate in our ICF-certified coach training program to learn Mento’s coaching methodology prior to working with our members. Our coach training is an immersive, transformational training designed to help you grow as a coach, master the Mento Coaching Methodology, and gain access to proprietary tools that set our coaches apart. This program is ICF-certified, and participants who successfully graduate will earn Continuing Coach Education Units. If you’re ready to elevate your coaching skills, deepen your impact, and become part of a groundbreaking coaching team, we encourage you to apply and take the next step in your journey! Your routine responsibilities will include: Providing 1:1 coaching to Mento members through virtual sessions using the Mento Platform and Tools Participating in ongoing training sessions to improve coaching abilities and skills Communicating with members via your Mento email or via chat in the Mento App in between sessions Being an integral member of the Mento coaching community by sharing coaching tools and insights — helping enhance our coaching practices and fulfill our mission of empowering people to thrive in jobs that they love Acting with kindness, respect, and empathy as an ambassador of the Mento community You are… A director, vice president, or other senior data science leader with 20+ years of experience managing data science teams and coaching individuals (coaching certification is a plus but not required). Someone who wants to turn their people leadership skills into meaningful coaching skills. Passionate about helping people advance in the workplace to build fulfilling careers and lives. A person who is self aware, who has a high emotional IQ, and who cares about creating a safe space for others to risk being vulnerable. Excited about growing your coaching skills, and you bring a growth-mindset to the experience, regardless of how long you have been a coach. Comfortable working in a constantly-changing startup environment. Able to dedicate a minimum of 12+ hours per month to coaching at Mento for the next 24+ months. At Mento, we invite new coaches to join us on a rolling basis. The time frame on which we add new coaches is based on the particular needs of our clients and their teams. While we may not need to add a Data Scientist Coach today, we would still be very excited for you to get in touch with us now if this opportunity resonates with you. This is a contract position in which coaches are paid per hour. On top of a flat hourly rate, we offer select bonuses that incentivizes engagement with our membership and community growth on our platform You must have the capacity to give a minimum of three to five hours per week towards Mento regardless of other commitments and how they may change. You are able to work with Mento for a minimum of 24 months in order to build meaningful relationships with our members. This is a fully remote position. Candidates must be based in North America or Europe. Because this is a part-time growth opportunity, we are looking to hire experienced senior leaders who want to expand their coaching skills. Our Hiring Philosophy: All new Mento coaches are required to participate and graduate from our ICF certified coach training program: Mento Coaching 101. This training is rigorous, and our goal is that all participants are able to be matched with members soon after they complete it. We want to make sure that we are both setting our coaches up for success and respecting everyone’s time. Therefore, we hire based on incoming member demand. While we are constantly looking and interviewing for the best coaches to join our team, we will only send offers to candidates for whom we have an immediate need. Candidates who receive a YES from Mento after the interview process will either be sent an offer to join the next monthly Coaching 101 training or be added to our coach shortlist to join us when the demand is there. Inclusion Statement: We are proud to foster a workplace free from discrimination. Research shows that candidates from unrepresented backgrounds may not apply to jobs unless they meet 100% of the job requirements. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users. We encourage you to apply even if you do not meet all the requirements.

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living _ and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team. You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women's health outcomes. You will lead complex projects, mentor junior team members, and contribute significantly to the strategic direction of our technology.. What you will do: • Contribute to the development and deployment of advanced machine learning pipelines and models for innovative Women's Health features, focusing on time-series analysis and robust validation., • Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers, product designers and test engineers., • Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions., • Conduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products., • Contribute to the development of best practices for machine learning within the Women's Health team., • Present and communicate complex technical concepts to diverse audiences. This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. Requirements • PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field. And 3+ years of industry experience in machine learning and data science., • 5+ years of advanced programming experience in Python and SQL., • Extensive experience with a wide range of machine learning and statistical modeling techniques, including deep learning, time-series analysis, and signal processing., • Demonstrated experience in the full lifecycle of developing and commercializing machine learning models and algorithms., • Excellent communication skills, and the ability to articulate complex technical concepts to both technical and non-technical audiences., • Self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively., • Strong domain knowledge in Women's Health and experience with health data from wearables are significant plusses. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $172,000 - $203,000, • Region 2 $158,000 - $187,000, • Region 3 $147,000 - $174,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront., • Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. We are seeking a skilled and motivated Staff Data Scientist to join our Fraud & Risk Data Science team. As an advanced-level individual contributor, you will design, build, and optimize advanced DS/ML models that power our core fraud detection and risk management solutions. You will lead technical initiatives, mentor peers, and drive functional productivity and project success. You will work hands-on with advanced deep learning models, driving delivery of impactful solutions for fraud detection, risk management, and identity verification. This role requires deep technical expertise, strategic ownership, and a commitment to Socure’s leadership principles, including continuous learning, effective communication, and accountability. Design, develop, and implement advanced deep learning models, including transformers, CNNs/RNNs, and graph learning algorithms, to address complex fraud and risk challenges. Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images. Lead the end-to-end machine learning lifecycle: data exploration, feature engineering, model training, evaluation, deployment, and monitoring in production environments. Take ownership of project outcomes, data quality, and delivery timelines; proactively escalate issues and work collaboratively to resolve challenges. Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning. Collaborate cross-functionally with Product, Engineering, and Risk teams to define data requirements and drive insights that guide strategic decisions. Conduct in-depth research to explore new data sources and develop novel algorithms that advance the state of the art in fraud detection. Present findings and recommendations to technical and executive stakeholders with clarity and influence. Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems. Model Socure’s embedded leadership competencies: continuous learning, effective communication, accountability, team development, decision making, and managing change. Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field; or equivalent professional experience. 8+ years of experience in data science, machine learning, or related fields, ideally in a high-growth tech or fintech environment. Experience in fraud prevention, risk modeling, or identity verification. Years of hands-on experience developing and deploying deep learning models (such as transformers, CNNs/RNNs, and graph learning). Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images. Strong proficiency in Python, SQL, and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Deep understanding of machine learning algorithms, model evaluation techniques, and data pipeline development. Experience with model deployment and monitoring in production environments (specific experience with real-time model inferencing is a plus) Experience with LLMs and Agentic AI framework/infrastructure (e.g., LangChain/LangGraph/Ray) is a plus. Demonstrated ability to proactively deliver complex outcomes, mentor others, and influence cross-functional decisions. Excellent communication skills with the ability to translate complex data problems into actionable business insights for both technical and non-technical audiences. Commitment to continuous learning, professional integrity, and high standards of business ethics. Please note: we are unable to provide sponsorship now, or in the future. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! | | |

Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client. About Adidev Technologies Inc. Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. We provide support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. We’re looking for AI Trainer – Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation) Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review) Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth General AI Training Model Evaluation and Evals Trust and Safety Red Teaming Quality Analytics Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation) Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. _ _ By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's _ explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. Machinify builds machine learning models for some of the largest health plans in the country to identify nearly $1B in erroneous healthcare payments. Our customers receive tens of millions of claims each year, many of which are billed with mistakes or fraud. Our production models detect and stop those errors on a daily basis, resulting in measurable healthcare savings that significantly outperform industry standards. Machinify has already had a huge impact as a small company, and we are growing quickly! We are looking for a Staff Data Scientist | ML for our "Pay" team (claims payments product) to advance our models further. In addition to building best-in-class models, this person will create technical frameworks and tools to help the team achieve greater scale and improved business outcomes. What You'll Do Solve real business problems with data: Own end-to-end data science work, from problem framing and data exploration to modeling, validation, and production impact. Lead high-impact initiatives: Drive complex efforts such as vendor leakage detection and prevention, delivering measurable revenue or cost improvements. Innovate on methods and approaches: Go beyond standard analyses by developing new metrics, models, or workflows when existing approaches fall short. Build and productionize models: Design, build, and support production ML or LLM-powered solutions in collaboration with engineering and product partners. Work deeply with data: Use SQL fluently to explore large datasets, build reliable data assets, and validate results. Influence cross-functionally: Partner with Product, Engineering, Finance, and Operations to align on goals, tradeoffs, and execution plans. Set technical direction (especially at L7): Raise the bar for data science quality, scalability, and impact across the organization through mentorship, design reviews, and technical leadership. What You'll Bring Proven track record of hands-on data science impact on real-world problems, not just research or dashboards. Strong proficiency in SQL, with experience working directly on complex, large-scale datasets. Experience building, shipping, or supporting production ML systems, preferably some exposure to LLM-based products or workflows. Ability to independently scope ambiguous problems, identify the right data and methods, and drive work to completion. Strong communication skills, with the ability to explain complex analyses and models to non-technical stakeholders. Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. See our Candidate Privacy Notice at: _

We’re a startup with big ambitions: to make estate planning modern, visual, and intelligent. _ is the first AI-powered estate advisory platform, built by advisors, planners, and attorneys to transform how wealth is transferred across generations. Our technology unifies scenario modeling, client visualization, and document creation into one seamless, digital experience. Our team brings together diverse subject matter expertise across estate planning, wealth management, and scaling SaaS startups. We’re distributed across the U.S., with a mix of fully remote and hybrid roles, and we embrace flexibility while staying closely connected. At Vanilla, you’ll join curious builders and problem-solvers who thrive on speed, autonomy, and impact. Here, you won’t just join a company, you’ll help create it. If you’re excited to tackle hard problems, move quickly, and see your work shape both an industry and a growing startup, we’d love to meet you. Job Summary Vanilla is seeking a Senior Software Engineer - AI Applications with a strong background in software development, data science, machine learning, and artificial intelligence. You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineering skills will come into play here as you’ll take ownership in constructing services to ingest structured results. If you’re a proactive problem-solver who lives to disrupt archaic processes with cutting-edge technology, this is the job for you. As a Senior Software Engineer, you will work collaboratively with engineering and subject matter experts to find innovative and disruptive uses of AI to streamline (or replace) workflows. Responsibilities Machine learning and AI: You are passionate and knowledgeable about the current and future state of AI. You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineer skills will come into play here as you'll take ownership in constructing services to ingest results. You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights. You can drive technical vision and leverage open source technologies and cloud services to build an AI/ML platform. You can build tooling to support model training, evaluation, inference serving, monitoring and alerting. You want to use the latest ML frameworks and open source tools to develop new model training pipelines. Hands On Coding: You have direct experience with software engineering and are familiar with modern languages like Python, Javascript, Go, Rust You have experience building microservices and understand the tradeoffs of the approach. Data handling: You can identify, extract, transform, and load data from disparate sources into a centralized system. You are able to normalize, cleanse, and validate this data. Database management: You are able to design and implement schemas, optimize queries, and manage database performance. Project management: You must be an effective self-organizer: prioritize tasks, manage resources, and communicate effectively with non-technical stakeholders. Collaboration: We are one team. You must be able to collaborate with engineers, subject matter experts, product managers, and designers to ensure the success of projects. Qualifications Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience. 6+ years relevant work experience. Proficiency in, at least, one modern programming language such as Python or Javascript. Experience building commercial SaaS solutions. Experience integrating with backend services, and APIs. Experience with OpenAI, Anthropic, or similar for both chat and API interfaces. Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation. Experience with tuning AI performance and scalability of AI infrastructure. Preferred experience with AI observability, monitoring, and signaling with tools such as LangChain or LangGraph. Experienced with LLM orchestration tooling and decision frameworks. Experience or exposure building agentic capabilities and workflows. Experience or exposure to evaluation testing frameworks. Exceptional candidates will have direct experience with RAG for tuning LLMs. Experience with API design and accessing data from external sources. Ability to effectively articulate technical challenges and solutions. Deal well with ambiguous/undefined problems; ability to think abstractly. Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Candidates must be legally authorized to work in the United States without the need for sponsorship now or in the future. Vanilla is unable to provide visa sponsorship at this time. You Might Be a Great Fit If: You have hands-on experience with AI and Large Language Models (LLMs). You’ve worked with OpenAI, GPT models, or other similar technologies and have integrated them into real-world applications. You are a critically thinking software engineer. You have built and maintained scalable microservices and understand the tradeoffs of this architecture. You can build AI-powered applications with high accuracy. You understand the challenges of AI implementation and know how to optimize models, fine-tune them, and create efficient pipelines for training, evaluation, and deployment. You are a problem-solver and innovator. You love tackling undefined, ambiguous problems and applying AI to disrupt outdated processes. You’re excited about revolutionizing estate planning with cutting-edge technology. You May Not Be a Great Fit If: You are primarily a data scientist or ML researcher, rather than a software engineer. While AI and machine learning are key components of this role, we need a strong application developer first. You should be comfortable building production-ready software, integrating AI models into applications, designing APIs, and working with databases. If your experience is mostly in research, data modeling, or experimentation without deploying AI-driven applications, this may not be the right fit. You prefer working in highly structured, slow-moving environments. At Vanilla, we move fast and iterate quickly. The salary range for this role is $160,000 to $190,000. Our compensation packages also include a performance based bonus and equity. Compensation is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Flexible paid time off policy and 10 company-wide paid holidays Parental leave, 4 weeks for all full-time employees and up to 12 weeks for birthing parents Medical, dental, and vision benefits coverage for employees and their families 401K eligibility after one month of employment Free estate planning documents Budget for learning & development and home office setup Paid parking or transit for hybrid and in office employees Vanilla Technologies Inc. (dba "Vanilla") provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Vanilla participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

At Bluesight, our mission is to create groundbreaking solutions that increase efficiency, safety and visibility for health systems, hospital pharmacy, and pharmaceutical manufacturers. We empower our customers to deliver the right medicine to the right patient at the right time, every time. We are a high growth healthcare information technology company with a start-up 'vibe' but over 3,000 customers using our proven solutions. Bluesight is looking for a Data Scientist II to join our central data team and help us drive the success of data science and analytics efforts across the organization. This role will work closely with external and internal stakeholders to deliver value through all stages of the RnD life cycle: identifying opportunities, building core infrastructure, running predictive models, analyzing impact, and highlighting improvement areas. This person will partner with cross-functional peers to strengthen Bluesight’s data culture and help us innovate within our suite of Medication Intelligence products. • Develop and productionize machine learning models for a range of healthcare products, including monitoring controlled substance handling and patient privacy, and inventory management, • Define and track KPIs to measure model performance and business impact, • Collaborate with product teams and customers to scope analytics projects and build prototypes. Translate ambiguous business problems into well defined, quantitative, and testable hypotheses., • Communicate technical findings to both technical and non-technical stakeholders, including customers. Present results and recommendations in customer-facing meetings., • Inform product roadmaps, evaluate technical feasibility, and assess project risks., • Quickly ramp up on new healthcare data sources as products evolve and adapt to new ML techniques and tools as needed for product requirements, • Raise the skill level of the entire analytics team by modeling strong research communication through team presentations and documentation. Drive collaboration through code reviews, experimental design feedback, and participation in model evaluation discussions., • Degree or equivalent years of experience in data science, statistics, computer science, or similar quantitative field, • Ability to develop and productionize code in Python to serve API endpoints (e.g. Flask, FastAPI), • A willingness to leverage genAI tools to assist with rapid experimentation, • Understanding of statistical models including distributions and transformations. Ability to create and evaluate supervised and unsupervised machine learning models (tree-based models, clustering) in a practical/applied context, • Hands-on experience with AWS cloud services including SageMaker, Athena, RDS, Glue, ECR, IAM, and CodeBuild, • Strong knowledge of Git workflows and version control best practices, • Understanding of SQL, • Prior track record of a customer-friendly approach in presenting information and analysis for non-technical audiences, • Excellent verbal and written communication skills with an ability to advocate technical solutions to engineering teams as well as business stakeholders, • Master’s degree or PhD in math and/or statistics centric field of study, • Experience on a data team of a similar size (<5), • Experience working with protected healthcare data (e.g. ADM, EHR) and pharmaceutical supply chain logistics (e.g. invoicing, cost optimization), • Experience with infrastructure as code using Terraform to manage cloud resources, • Experience with MLOps including deployment using MLFlow and containerization with Docker, CI/CD Pipelines, and monitoring $130,000 - $150,000 a yearThe standard base pay range for this role is $130,000 - $150,000 when annualized. In addition to a competitive base salary this position is also eligible for an amazing benefits package. Actual amounts and salary will vary depending on position offered, experience, performance, and location.This position is a remote position and open to applicants in the continental United States. Why Bluesight?Bluesight’s culture is built on innovation and teamwork. There’s room to grow and opportunities to take initiative. You will partner with sharp, motivated teammates looking to disrupt a massive industry—and have fun doing it. We truly believe that where you work and what you do matters. Join us as we revolutionize the hospital pharmacy landscape!-Competitive salary-Time off when you need it – unlimited vacation days!-Generous insurance coverage-401k program with a company match-Fun, collaborative culture! EOE AA M/F/VET/Disability All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, religion, color, national origin, sex, protected veteran status, disability, or any other basis protected by federal, state or local laws.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Team Description: The Ads Marketplace team is a strategic growth engine for Reddit Ads. Our mission is to democratize high-performance advertising by enabling brands to achieve world-class results with minimal friction. To achieve this, we need an incredibly robust, scalable, and state-of-the-art Machine Learning infrastructure. The Ads ML Platform team is at the core of this mission, tasked with building the foundation that powers all of our content understanding, ad targeting, and ad ranking models. We are empowering our ML engineers and data scientists to move faster and build smarter. The Role: As the Senior Product Manager for the Ads ML Platform, you will hold significant ownership over the infrastructure and tools that make our ads marketplace intelligent. You will define the vision and build the roadmap for a platform that enables unparalleled engineering velocity and supports the most modern ML architectures. You will be the bridge between complex ML systems and business outcomes. Whether it's integrating generative AI to increase developer productivity, establishing unified model-serving infrastructure, or optimizing GPU utilization, your work will directly accelerate how quickly and effectively we can ship highly-performant ad products. If you are passionate about the intersection of platform engineering and state-of-the-art ML research, this is the role for you. Responsibilities • Define the Vision: Shape the long-term strategy and roadmap for Reddit’s Ads ML platform, ensuring we are adopting cutting-edge technologies (including Generative AI and LLM workflows) to stay ahead of the curve., • Accelerate Velocity: Build products and tooling that dramatically reduce friction for Machine Learning Engineers (MLEs) and Data Scientists, enabling them to train, deploy, and iterate on models faster than ever., • Cross-Functional Leadership: Partner deeply with Engineering, Data Science, and Ads Product teams to understand their constraints, prioritize platform initiatives, and deliver scalable infrastructure., • Drive Execution and Adoption: Own key performance indicators (KPIs) around platform reliability, latency, cost-efficiency, usage metrics, and developer productivity., • Stay Cutting-Edge: Keep your finger on the pulse of the broader ML ecosystem. Read the latest research papers, understand emerging architectures, and determine how they can be practically applied to Reddit’s Ads ML platform., • Distill pain points, translate to requirements: Conduct regular user research with MLEs in Ranking, Creative Effectiveness and Content Understanding to convert pain points (e.g., slow backfills, limited training speed, no way to quickly share features across models) into precise product requirements. Validate the needs and ensure they are tied into a broader vision for the org. Minimum Qualifications: • Experienced product manager with prior focus internal technical products, developer tools, data/ML platforms, and/or ads and content ranking., • Deeply analytical and highly technical background; you are comfortable working in complex data systems and understanding the entire machine learning lifecycle (training, inference, deployment, monitoring)., • Genuine passion for machine learning and AI; you stay at the forefront of ML, enjoy reading ML research papers, stay informed on the latest industry trends, architectures, and capabilities., • Exceptional problem-solving skills and the ability to translate highly technical constraints (e.g., GPU scheduling, latency budgets) into actionable product roadmaps., • Strong communication skills; you can seamlessly translate technical requirements to business stakeholders and articulate business goals to engineering teams. Preferred Qualifications: • Prior professional experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer before transitioning into Product Management., • Understanding of the Ad Tech ecosystem (bidding, ranking, targeting)., • Experience implementing or managing systems that support Generative AI/LLM workflows (Agentic automation, Prompt iteration, Fine-tuning, RAG). Perks and Benefits: • 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago), • Competitive salary and equity options, • Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc), • Generous 401k matching, • Flexible vacation policy, • Paid parental leave (4+ months), • Family planning support, • Paid volunteer time off #LI-AS1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Location: US remote-friendly or any office location - SF, LA, CHI, NY The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth. As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc.). You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research. This person will be an industry technical leader with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. You will go through a general Data Scientists hiring process and get matched to the product area that best fits your background and interest. Responsibilities: • Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations, • Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests, • Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly, • Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact, • Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes, • Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making Required Qualifications: • Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research, • For M.S. holders: 5+ years of industry experience in applied science or data science roles, • For Ph.D. holders: 4+ years of industry experience in applied science or data science roles, • Expertise in querying relational databases (SQL) and programming languages (e.g., R / Python), • Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques, • Comfortable in innovative and fast-paced environments, and a bias toward action, • Strong technical communication / data storytelling skills and demonstrated ability to discuss complex topics with technical and non-technical audiences alike, • Able to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #LI-Remote #LI-NH1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Research Scientist / Machine Learning Scientist Location: SF Bay Area/Hybrid / Remote Type: Full-Time About the Role: The Client is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models. You’ll help design and analyze experiments that uncover what makes models useful, trustworthy and capable through human preference signals. Your work will contribute to the scientific foundations of understanding AI at scale. This role is deeply interdisciplinary. You’ll work closely with engineers, product teams, marketing and the broader research community to develop new methods for comparing models, analyzing preference data, and disentangling performance factors like style, reasoning, and robustness. Your work will inform both the public leaderboard and the tools we provide to model developers. If you’re excited by open-ended questions, rigorous evaluation, and research that’s grounded in real-world impact, you’ll find a meaningful home here. We’re looking for: • Hands-on experience training large-scale models, including reward models, preference models, and fine-tuning LLMs with methods like RLHF, DPO, and contrastive learning., • Strong foundation in ML and statistics, with a track record of designing novel training objectives, evaluation schemes, or statistical frameworks to improve model reliability and alignment., • Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production., • Deeply collaborative mindset, working closely with engineers to productionize research insights and iterating with product teams to align modeling goals with user needs. Responsibilities: • Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensions, • Develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks, • Analyze large-scale human voting and interaction data to uncover insights into model performance and user preferences, • Collaborate with engineers to implement and scale research findings into production systems, • Prototype and test research ideas rapidly, balancing rigor with iteration speed, • Author internal reports and external publications that contribute to the broader ML research community, • Partner with model providers to shape evaluation questions and support responsible model testing, • Contribute to the scientific integrity and transparency of the The Client leaderboard and tools Who is The Client? Created by researchers from_, The Client is an open platform where everyone can easily access, explore and interact with the world’s leading AI models. By comparing them side by side and casting votes for the better response, the community helps shape a public leaderboard, making AI progress more transparent, and grounded in real-world usage. Why Join Us? Trusted by organizations like Google, OpenAI, Meta, xAI, and more, The Client is rapidly becoming essential infrastructure for transparent, human-centered AI evaluation at scale. With over one million monthly users and growing developer adoption, our impact is helping guide the next generation of safe, aligned AI systems—grounded in open access and collective feedback. Our work is regularly referenced by industry leaders pushing the frontier of safe and reliable AI.,,, and. • High Impact: Your work will be used daily by the world’s most advanced AI labs., • Global Reach: Develop data infrastructure powering millions of real-world evaluations, influencing AI reliability across industries at the top-tier, • Exceptional Team: We are a small team of top talent from Google, DeepMind, Discord, Vercel, UC Berkeley, and Stanford. Requirements: • PhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related field, • Strong understanding of LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback) Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlow • Demonstrated ability to design and analyze experiments with statistical rigor, • Experience publishing research or working on open-source projects in ML, NLP, or AI evaluation, • Comfortable working with real-world usage data and designing metrics beyond standard benchmarks, • Ability to translate research questions into practical systems and collaborate across engineering and product teams, • Passion for open science, reproducibility, and community-driven research What we offer: • The cash compensation for this position has not yet been finalized. Actual compensation will depend on job-related knowledge, skills, experience, and candidate location., • Competitive salary and meaningful equity, • Comprehensive healthcare coverage (medical, dental, vision), • The opportunity to work on cutting-edge AI with a small, mission-driven team, • A culture that values transparency, trust, and community impact Come help build the space where anyone can explore and help shape the future of AI.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music, podcasts, and audiobooks better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Data Scientist to join the AI Foundations team to evaluate generative AI models and their impact on users. You will collaborate with cross-functional teams of engineers, research scientists, product managers, and tech leads to ensure that we are making product and technology decisions grounded in data. In this role, you will bring a deep understanding of user behavior into the development and evaluation of Spotify’s foundational AI products. • Perform analyses on AI models and user behavior to help drive strategic and product decisions, • Define and report on key performance metrics to measure the health and success of our products, • Design and analyze experiments and perform causal inference when A/B testing is not an option, • Contribute to novel methodologies for AI model evaluation and measurement, including offline evaluation and LLM-as-a-judge techniques, • Communicate complex technical findings to diverse stakeholders, • You have experience in a hands-on data science role, preferably in an AI or ML team, • You have the technical competence to perform advanced analytics: coding skills (Python or R), experience with analytics and visualization tools (SQL, Tableau, ggplot/matplotlib or equivalent), and experience performing analysis with large datasets, including the use of AI tools for data science, • Strong communication and presentation skills, with an emphasis on storytelling with data, • You are a self-driven person who’s capable of tackling loosely defined problems and driving strategic impact, • Excited to be at the forefront of Spotify’s AI-first product evolution, with a focus on innovation, iteration, and impact, • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have _, • This team operates within the Eastern Standard time zone for collaboration.The United States base range for this position is $110,018 - $157,169 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.

We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company. • Develop a deep understanding of customer journey phases and key business metrics, • Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments, • Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights, • Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes, • Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends., • Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets, • Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments, • Translate complex concepts into implications for the business via excellent communication skills, both verbal and written, • Understand what matters most and prioritize ruthlessly, • Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate, • Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field, • 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting, • Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction, • Significant experience with SQL and large unstructured datasets such as Hadoop, • Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees, • Solid background in running multivariate experiments to optimize a product or revenue flow, • Strong verbal and written communication skills, • Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus, • Product analytics experience in a SAAS company, • Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field US Zone 1 This role is not available in Zone 1 US Zone 2 $149,200 - $201,800 USD US Zone 3 $132,600 - $179,400 USD

Why join Freenome? Freenome is a high-growth biotech company developing tests to detect cancer using a standard blood draw. To do this, Freenome uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages. Cancer is relentless. This is why Freenome is building the clinical, economic, and operational evidence to drive cancer screening and save lives. Our first screening test is for colorectal cancer (CRC) and advanced adenomas, and it’s just the beginning. Founded in 2014, Freenome has ~400 employees and continues to grow to match the scope of our ambitions to provide access to better screening and earlier cancer detection. At Freenome, we aim to impact patients by empowering everyone to prevent, detect, and treat their disease. This, together with our high-performing culture of respect and cross-collaboration, is what motivates us to make every day count. Become a Freenomer Do you have what it takes to be a Freenomer? A “Freenomer” is a determined, mission-driven, results-oriented employee fueled by the opportunity to change the landscape of cancer and make a positive impact on patients’ lives. Freenomers bring their diverse experience, expertise, and personal perspective to solve problems and push to achieve what’s possible, one breakthrough at a time. About this opportunity: At Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, the ability to drive independent research and thrive in a highly cross-functional environment. They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer. The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote. What you’ll do: • Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.), • Build new models or fine-tune existing models to identify biological changes resulting from disease, • Build models that achieve high accuracy and that generalize robustly to new data, • Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms, • Work closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration, • Take a mindful, transparent, and humane approach to your work Must haves: • PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics, • 6+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques, • Expertise demonstrated by research publications or industry achievements, in driving independent research in applied machine learning, deep learning and complex data modeling, • Practical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees and forests, neural networks, boosting and model aggregation, • Practical and theoretical understanding of DL models like large language models or other foundation models, • Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning, • Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data, • Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc., • Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face, • Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases, • Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations, • Proficient at productive cross-functional scientific communication and collaboration with software engineers and computational biologists, • A passion for innovation and demonstrated initiative in tackling new areas of research Nice to haves: • Deep domain-specific experience in computational biology, genomics, proteomics or a related field, • Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models, • Experience in NGS data analysis and bioinformatic pipelines, • Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS, • Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems Benefits and additional information: The US target range of our base salary for new hires is $199,675 - $302,400. You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ _ for additional company information. Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Applicants have rights under Federal Employment Laws. • _, • _, • _ #LI-Remote

Company Description BPS Bioscience Inc. is a leading developer and manufacturer of research tools for various scientific fields, including bromodomains, CAR-T therapy, cell signaling pathways, Coronavirus, CRISPR, deacetylases, demethylases, immunotherapy, kinases, methyltransferases, phosphodiesterase's, phosphatases, poly ADP ribose polymerases, and ubiquitin enzymes. The company is headquartered in San Diego, California and provides custom protein expression, biochemical and cell-based assays, cell line development, CRISPR, BLI and compound screening services. BPS Bioscience is scientist founded and driven, focusing on providing quality life science products and services to accelerate drug discovery and development for treatment of human diseases. Job Overview The Territory Sales Manager is a full-time, exempt, remote position. The Territory Sales Manager will be responsible for managing and expanding customer accounts within the assigned territory, while adhering to the company's policies and procedures. The Territory Sales Manager will also be responsible for using market analysis data and customer knowledge to develop and implement sales strategies while ensuring customer satisfaction. Responsibilities: • Build and maintain a network of sources to identify new sales leads., • Identify, qualify, and close new business opportunities in the biotech and life sciences sectors within the assigned territory., • Negotiate and close sales opportunities., • Communicate with customers and seek to understand their product or service needs; recommend appropriate solutions., • Demonstrate the functions and utility of products or services tailored to customer needs., • Maintain and grow existing accounts through regular follow-ups, customer service, and relationship management to ensure repeat business; document all activities in CRM tools., • Conduct in-person visits with prospective and existing clients to present BPS’ product portfolio to C-suite executives, researchers, lab managers, and procurement teams., • Ensure customer satisfaction through ongoing communication and relationship management; resolve post-sale issues promptly., • Collaborate with internal technical specialists and product managers to address complex client needs and ensure satisfaction., • Maintain communication with existing and previous customers to inform them of new products, services, and enhancements., • Maintain detailed records of sales activities including calls, orders, sales, lost business, and customer or vendor relationship issues; track all interactions using CRM tools., • Provide periodic and accurate territory sales forecasts and reports., • Attend scientific conferences, trade shows, and networking events to promote brand awareness and generate leads., • Monitor market trends and competitor activity to inform sales strategy., • Collaborate effectively with cross-functional teams and provide territory coverage for colleagues during absences, ensuring seamless customer support and continuity of service., • Demonstrates professionalism, resilience, and a positive attitude in all interactions., • Actively supports the development of junior or new sales territory managers through coaching, shadowing, and constructive feedback., • Encourages knowledge sharing and teamwork to drive collective success., • Introduces and promotes effective sales techniques and/or tools to improve team efficiency., • Provides insights from the field through Voice-of-the-Customer feedback to help shape product development and service enhancements., • Provide mentorship and training for other members in the department., • Manages the performance of direct reports if applicable., • Perform other duties as assigned. Required Qualifications: • Bachelor’s or advanced degree in a related scientific field (preferred), or a degree in Business., • Minimum of 7+ years of relevant sales or industry experience required., • Proven sales and negotiation skills with a results-driven approach., • Excellent interpersonal and customer service abilities., • Ability to thrive in a high-paced, client-facing environment., • Strong organizational skills., • Demonstrates a high level of accuracy and thoroughness in all aspects of work., • Consistently ensures precision and completeness in documentation and communication., • Solid analytical and problem-solving capabilities., • Proficient in Microsoft Office Suite or related software., • Familiarity and use of CRM platforms and sales reporting tools., • Self-motivated and capable of working independently., • Willingness and ability to travel extensively within the assigned territory. Benefits! • 401k with company match, • Medical/Dental/Vision health insurance plans, • Vacation and paid holidays BPS Bioscience is an equal opportunity employer, without regard to race, color, religion, age, gender, sexual orientation, disability, or any other characteristic protected by applicable law.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: _ The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation. You will... • Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving., • Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale., • Architect and build the engineering foundations of our long-term mapping infrastructure., • Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data., • Design and develop comprehensive metrics, observability, and anomaly detection across various systems., • Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs., • Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. Qualifications: • BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience., • Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures., • Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust., • Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept)., • Hands-on experience building distributed systems on modern cloud platforms. Bonus/nice to have: • A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates., • Prior experience with autonomous vehicles, HD mapping, or robotics., • Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS., • Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems., • Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka)., • Open-minded and collaborative team player with strong willingness to help others. The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About us: Foodsmart is the leading Foodcare platform in the U.S., built to deliver nutrition-driven healthcare at scale. Powered by a national network of Registered Dietitians, Foodsmart combines personalized clinical nutrition care, behavior change tools, and food benefits to improve member health outcomes while lowering healthcare costs. Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver sustainable health outcomes. Through our highly personalized, digital platform, we guide more than 3 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a tailored journey to eating well while saving time and money. Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go. We partner with national and regional retailers across the U.S., many of whom accept SNAP/EBT, making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food. In 2024, Foodsmart secured a $200 million investment from TPG’s Rise Fund, which supports entrepreneurs dedicated to achieving the United Nations’ Sustainable Development Goals. This investment helps us expand our reach, particularly to low-income workers who are disproportionately affected by diet-related diseases. At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We are committed to a set of core values that shape our culture and work environment: 👥 Customer First - You start with the member and work backwards. 🚀 Make It Happen - You act with urgency, use data, and hold high standards. 🤝 One Team - You collaborate with respect and commit as a group. Whether you're a dietitian, a commercial leader, or a technologist, working at Foodsmart means being part of a team that is passionate, supportive, and driven by a shared purpose. Join us in transforming the way people access and enjoy healthy food. About the role: We are seeking a Staff Data Scientist to own the analytical strategy across Foodsmart's Member growth engine. This role spans two tightly coupled domains: marketing analytics and product analytics. On the marketing side, you will own the end-to-end acquisition funnel — from marketable lives through initial visit completion — across both our outbound (call center) and inbound (scheduling referral) channels. On the product side, you will own the member-facing funnel: onboarding flow, sign-up conversion, and the in-app experience through a member's completed first appointment. These two domains are intentionally paired because growth and product are deeply interdependent — the effectiveness of our acquisition investment is shaped by what happens the moment a member enters our product experience, and optimizing the full funnel requires owning both sides of that handoff. This is a high-impact, dom ain-owning role reporting to the VP of Analytics & Data Science. You will own the executive narrative on marketing and product funnel performance, lead our experimentation and causal inference program across both domains, and build the attribution, lifecycle, and product analytics models that shape how Foodsmart invests in acquisition and member engagement. You will also be a core contributor to building out Foodsmart's event tracking infrastructure and product analytics foundation — including our Statsig implementation — establishing the measurement architecture that makes rigorous product experimentation possible. This is a full-stack data science role. We are not looking for a pure statistician or a pure analytics engineer — we need someone who operates across the entire analytical stack: from dbt source models and semantic layer design, to BI dashboards and self-service tooling, to predictive modeling, causal inference, and optimization work. At Foodsmart, durable insight requires owning the data foundation it sits on, and impactful models require the communication infrastructure to drive decisions. We expect this person to be strong across all of it. We are a small, flat, fast-moving team that leans hard into AI-native tooling. We use Hex and its AI Agent for analysis, Omni with deep context engineering to power stakeholder self-service through its AI Agent, and we are actively expanding our use of Claude and Claude Code across our workflows. We want someone who treats these tools as force multipliers for their own output and who actively engineers context into our data models so that stakeholders can self-serve — not someone who sees analytics as a hand-cranked request queue. • Own the analytical strategy for the end-to-end marketing funnel, from marketable lives to lead generation to omni-channel engagement strategy to visit completion and re-engagement. This includes our call center function (outbound rep allocation, inbound referral scheduling, ZCC data) and member lifecycle (Customer.io journey performance, reactivation, and initial visit completion optimization)., • Own the product analytics domain: onboarding funnel, sign-up conversion, in-app engagement, and the member experience through completed first appointment. Partner with the top-of-funnel product team as their embedded analytical lead, attending product cadences and co-owning the product analytics roadmap., • Serve as the executive-facing owner of the marketing and product performance narrative: explaining why marketable lives, funnel conversion, and initial visit completion moved, what levers drove the result, and what to double down on., • Design and lead Foodsmart's experimentation program across both marketing and product, including test design, causal inference methods, readout discipline, and the intake process for stakeholder-driven test ideas. Own the StatSig implementation and serve as the internal expert on experiment instrumentation, StatSig configuration, and results interpretation., • Own and evolve our attribution framework, including scheduling episode attribution, multi-touch attribution, and media mix modeling as Foodsmart's channel portfolio grows., • Partner with Growth Marketing leadership as the embedded analytical lead: attending marketing cadences, co-owning the analytics roadmap, and driving insight into action., • Own and evolve the dbt data models for the marketing and product domains — from raw source modeling through mart-layer metrics — ensuring data quality, test coverage, documentation, and a semantic layer that makes self-service trustworthy. This is a core craft expectation of this role, not a secondary responsibility., • Engineer context into our semantic layer and BI environment (Omni) so that stakeholders and AI agents can reliably self-serve answers across the marketing and product funnel. You treat context engineering — writing descriptions, defining metrics, curating what's exposed — as a first-class part of your job., • Drive the narrative, not just the numbers — translate findings into clear, actionable recommendations for executive and marketing leadership audiences., • Raise the bar for the analytics team on the craft areas central to this role — experimentation design, dbt modeling patterns, and context engineering. You don't manage anyone, but you operate as a technical leader: establishing best practices, reviewing work, and making the team around you better., • An operator who thrives in flat, fast-moving teams. You need minimal guidance to drive outcomes and default to taking ownership rather than waiting for direction., • A domain-owning IC who is comfortable being the single point of accountability for a critical business area and the executive-facing voice on its performance., • A rigorous experimentalist who treats causal inference as a core craft, not a buzzword — with a point of view on what makes a test trustworthy and how to teach causal thinking to business partners., • A strategic partner who can translate a high-level business problem into a concrete analytical roadmap and influence senior leaders across marketing, product, clinical, and finance., • A full-stack analytics practitioner — strong across analytics engineering (dbt, semantic layer), business intelligence and dashboarding, and data science (predictive modeling, causal inference, optimization) — who doesn't silo into pure stats/Python work and understands that durable insight requires owning the data foundation, not just the models on top of it., • Deeply fluent with AI-native tooling — you see tools like Claude, Claude Code, and in-BI AI agents as a core part of how you get leverage, and you have a point of view on how to engineer the context and semantic layer that makes AI-driven self-service trustworthy., • Bachelor's degree, ideally in a quantitative or technical field (e.g., Economics, Statistics, Computer Science, Operations Research, Applied Mathematics); Master's degree is a plus., • 8+ years of experience in data science, analytics, or experimentation, with a proven track record of driving measurable impact on growth, acquisition, or lifecycle outcomes., • Deep, hands-on expertise in experimentation and causal inference. You have designed and interpreted rigorous tests (A/B, quasi-experimental, geo-lift) and can defend methodology choices under scrutiny., • Strong background in attribution modeling (scheduling episode, multi-touch attribution, media mix modeling) and a clear point of view on the tradeoffs between approaches., • Experience owning lifecycle analytics, ideally including hands-on work with Customer.io, Braze, Iterable, or a similar platform., • Hands-on experience with product analytics instrumentation — event tracking, funnel analysis, and experimentation platforms (Statsig, Amplitude, Mixpanel, or equivalent) — and a point of view on what good product measurement infrastructure looks like., • Experience with call center or contact center analytics is a plus. We leverage Zoom Contact Center (ZCC) for our outbound and inbound scheduling teams., • Expert-level proficiency in SQL and strong proficiency in Python (pandas, scikit-learn, statsmodels, etc.)., • Deep, production-level experience with dbt — including source and mart-layer modeling, testing, documentation, and semantic layer design. You have owned a dbt project end-to-end, not just contributed to one., • Experience with context engineering for BI and AI self-service: writing semantic layer definitions, metric descriptions, and data model documentation that enables reliable AI-assisted querying (Omni, Looker, or equivalent)., • Proven fluency with AI-native developer and analyst tooling — Claude, Claude Code, Cursor, Hex AI Agent, Omni AI, or equivalent — used in production analytical workflows., • Experience working in marketplace business models and/or adjacent to healthcare, Medicaid, or a similarly regulated domain is a plus but not required., • Excellent communication skills. You can distill complex models, test results, and funnel diagnostics into clear, actionable recommendations for executive and marketing-leadership audiences. $170,000 - $200,000 a year Role: Staff Data Scientist, Growth Analytics Location: Remote, USA Base Salary Range: $170,000 - $200,000 base + bonus Our salary ranges are determined by role, level, and location. Individual pay is determined by work location, job-related skills, experience, and relevant education or training. About our benefits and perks: ✅ Remote-First Company ✅ Unlimited PTO ✅ Flexible & remote location ✅ Healthcare Coverage (Medical, Dental, Vision) ✅ 401k & bonus ✅ Registered Dietitian Sessions Foodsmart is an Equal Opportunity Employer. It is our firm policy to extend equal employment and advancement opportunity to all applicants and employees without regard to race, color, national origin, citizenship status, religious creed, age, sex (including pregnancy, childbirth, breastfeeding, medical conditions related to pregnancy, childbirth and/or breastfeeding), gender, gender identity and expression, sexual orientation, marital status, disability (physical or mental) and/or a medical condition, genetic information, ancestry, veteran status or service in the uniformed services, and any other characteristic protected by applicable federal, state or local law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Company Description BPS Bioscience Inc. is a leading developer and manufacturer of research tools for various scientific fields, including bromodomains, CAR-T therapy, cell signaling pathways, Coronavirus, CRISPR, deacetylases, demethylases, immunotherapy, kinases, methyltransferases, phosphodiesterases, phosphatases, poly ADP ribose polymerases, and ubiquitin enzymes. The company is headquartered in San Diego, California and provides custom protein expression, biochemical and cell-based assays, cell line development, CRISPR, BLI and compound screening services. BPS Bioscience is scientist founded and driven, focusing on providing quality life science products and services to accelerate drug discovery and development for treatment of human diseases. Job Overview The Territory Sales Manager is a full-time, exempt, remote position. The Territory Sales Manager will be responsible for managing and expanding customer accounts within the assigned territory, while adhering to the company's policies and procedures. The Territory Sales Manager will also be responsible for using market analysis data and customer knowledge to develop and implement sales strategies while ensuring customer satisfaction. Responsibilities: • Build and maintain a network of sources to identify new sales leads., • Identify, qualify, and close new business opportunities in the biotech and life sciences sectors within the assigned territory., • Negotiate and close sales opportunities., • Communicate with customers and seek to understand their product or service needs; recommend appropriate solutions., • Demonstrate the functions and utility of products or services tailored to customer needs., • Maintain and grow existing accounts through regular follow-ups, customer service, and relationship management to ensure repeat business; document all activities in CRM tools., • Conduct in-person visits with prospective and existing clients to present BPS’ product portfolio to C-suite executives, researchers, lab managers, and procurement teams., • Ensure customer satisfaction through ongoing communication and relationship management; resolve post-sale issues promptly., • Collaborate with internal technical specialists and product managers to address complex client needs and ensure satisfaction., • Maintain communication with existing and previous customers to inform them of new products, services, and enhancements., • Maintain detailed records of sales activities including calls, orders, sales, lost business, and customer or vendor relationship issues; track all interactions using CRM tools., • Provide periodic and accurate territory sales forecasts and reports., • Attend scientific conferences, trade shows, and networking events to promote brand awareness and generate leads., • Monitor market trends and competitor activity to inform sales strategy., • Collaborate effectively with cross-functional teams and provide territory coverage for colleagues during absences, ensuring seamless customer support and continuity of service., • Demonstrates professionalism, resilience, and a positive attitude in all interactions., • Actively supports the development of junior or new sales territory managers through coaching, shadowing, and constructive feedback., • Encourages knowledge sharing and teamwork to drive collective success., • Introduces and promotes effective sales techniques and/or tools to improve team efficiency., • Provides insights from the field through Voice-of-the-Customer feedback to help shape product development and service enhancements., • Provide mentorship and training for other members in the department., • Manages the performance of direct reports if applicable., • Perform other duties as assigned. Required Qualifications: • Bachelor’s or advanced degree in a related scientific field (preferred), or a degree in Business., • Minimum of 7+ years of relevant sales or industry experience required., • Proven sales and negotiation skills with a results-driven approach., • Excellent interpersonal and customer service abilities., • Ability to thrive in a high-paced, client-facing environment., • Strong organizational skills., • Demonstrates a high level of accuracy and thoroughness in all aspects of work., • Consistently ensures precision and completeness in documentation and communication., • Solid analytical and problem-solving capabilities., • Proficient in Microsoft Office Suite or related software., • Familiarity and use of CRM platforms and sales reporting tools., • Self-motivated and capable of working independently., • Willingness and ability to travel extensively within the assigned territory. Benefits! • 401k with company match, • Medical/Dental/Vision health insurance plans, • Vacation and paid holidays BPS Bioscience is an equal opportunity employer, without regard to race, color, religion, age, gender, sexual orientation, disability, or any other characteristic protected by applicable law.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • Understand diverse data sources, both structured and unstructured., • 9+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering., • Experience with RAG and Vector Databases Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions. We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required. Research and detect valuable data sources and automate collection processes Perform preprocessing of structured and unstructured data Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON) Review large amounts of information to discover trends and patterns Create predictive models and machine-learning algorithms Modify and combine different models through ensemble modeling Organize and present information using data visualization techniques Develop and suggest solutions and strategies to business challenges Work together with engineering and product development teams 3+ years' experience of working on Data Scientist or Data Analyst position Significant experience in data mining, machine-learning and operations research Experience with data modeling, design patterns, building highly scalable and secured solutions preferred Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC) Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset • MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred, • Must be a U.S. Citizen

About the Role Mercor is partnering with a leading AI research organization to verify protein target assignments in large-scale bioactivity databases (ChEMBL, BindingDB). What You'll Do - Access primary sources (papers, patents) to verify protein target assignments against UniProt records - Flag

We are currently looking for a Food Scientist to join the Research and Development team. Bachelor’s degree in Food Science, Food Processing / Engineering or related field. Technical knowledge of the food manufacturing processes, equipment, packaging.

Formulation Scientist When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference. We arelooking to fill a Formulation Scientist position working as a full-time employee of Parexel FSP on long-term assignment onsite at one of our clients located in Rahway, NJ. This position offers full benefits, sick time, 401K, paid holidays, and paid time off. This position does not offer any sponsorship. The Formulation Scientist - Lab Support for Formulation Development role is responsible for executing formulation development efforts for investigational pharmaceutical products, including solid dosage forms and liquid solutions and suspensions. Knowledge of the specific processes and equipment (formulation, pharmaceuticals) is desirable, but not required in advance, but experience in a laboratory setting is desired. The candidate will receive training in formulation techniques and therefore should be an enthusiastic learner. The work may involve lab and pilot-scale powder handling and operation of processing equipment, such as for blending, granulation, encapsulation, or tablet compression, cell culture, material dispensing, shipping, chemical inventory management and ordering, and workflow optimization. Responsibilities Prepare formulations including material weighing/dispensing, blending, processing, and operation of associated equipment Characterization of formulations including physical and chemical characterization Preparation and handling of potent compound formulations and processes Manage shipping, handling, forecasting, restocking, and dispensing of material Documentation and reporting of results to a senior scientist Effective interaction with other technical groups including partnership with a scientific supervisor Support of laboratory investigations of unexpected results as needed Receive requests to support research and administrative activities and maintain calendar of availability/activities performed Perform cell assays with prepared formulations Qualifications BS/MS in chemistry, materials science, engineering, or a related discipline Scientist 2 – BS (1-2 years of relevant experience), or MS with no experience Required Skills and Experience Strong laboratory and analytical skills Documentation and reporting of results Strong verbal and written communication skills Comfortable working in a laboratory setting with strong adherence to laboratory safety Desired Skills and Experience Research or industrial experience with at least one of the following techniques: handling of chemicals or powders in a wet lab setting using fume hoods or ventilated balance enclosures, oral dosage form tablet compression, powder milling, roller compaction, wet granulation, film coating, hot melt extrusion, capsule filling, or liquid blending/formulation, USP disintegration testing, tablet tensile strength testing, USP friability testing Prior experience in a pharmaceutical product development laboratory is beneficial Prior experience with cell culture is beneficial Strong interpersonal skills and comfortable interacting with a variety of collaborators Comfortable working independently to drive work through completion. Parexel FSP includes the CMC Operations group. We provide pharmaceutical and biopharmaceutical companies with qualified and talented technical professionals to support the development and delivery of new therapies. For results-driven and caring individuals who want to make a meaningful difference in the world, Parexel is trusted by life sciences companies to meet their long-term staffing needs for scientists and engineers and related professionals in discovery and development of novel therapies, keeping patients at the center of everything we do, and where an inclusive community helps you be your best, transforming any career into a life-changing achievement. Come join us! EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.