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Experience with audio stack including codecs, audio capture/render, and network compensation/jitter buffer. Our audio teams are at the forefront of this innovation, developing cutting-edge technologies that redefine the way we experience sound in virtual and augmented worlds. Join us on this adventu

Langan is seeking an Environmental Permitting and Compliance Engineer, Scientist, or Project Manager to join its collaborative team in New York City, NY. This individual will serve a key function in performing multimedia environmental compliance and permitting projects, including air quality permitt

As a Senior Data Scientist, you will work directly with clients and internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. This is a hybrid role: equal parts data scientist and technical consultant. Collaborate with delivery leaders to scope, develop, and

Research Engineer, Frontier Red Team (Rsp Evaluations).San Francisco, CA | Seattle, WA.Research Scientist, Frontier Red Team (Autonomy).Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY.Research Scientist, Frontier Red Team (Cbrn, Biosecurity).

This range is provided by Walmart Connect.Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Walmart Connect is key to Walmart’s growth strategy.Walmart has built a multibillion-dollar in-house advertising business that is a robust, true omnichan

The Columbia University, Robert N Butler Columbia Aging Center is seeking a Post-Doctoral Research Scientist to aid in grant writing, statistical analysis and day-to-day data management associated with multiple concurrent research projects of the Aiello Research Group.The Aiello Research Group seeks

The College of Dental Medicine (CDM) at Columbia University is searching for a full-time tenure track open-rank research faculty in Data Science and one of the following fields: Bioengineering, Systems Biology, or Orally Related Diseases.Reporting to the Section Chair, the Data Science - CDM faculty

Postdoctoral Research Scientist position available immediately in a leading laboratory investigating host-pathogen interactions in neuro disorders and/or GI cancers.

Anthropic's mission is to create reliable, interpretable, and steerable AI systems.We want AI to be safe and beneficial for our users and for society as a whole.Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build ben

As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. Exp

Research Engineer, Frontier Red Team (Rsp Evaluations).San Francisco, CA | Seattle, WA.Research Scientist, Frontier Red Team (Autonomy).Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY.Research Scientist, Frontier Red Team (Cbrn, Biosecurity).Anthropic Ai Safet

EvolutionaryScale's mission is to develop artificial intelligence to understand biology for the benefit of human health and society, through open, safe, and responsible research, and in partnership with the scientific community.Over the next ten years AI will transform biological design, making mole

Job Description Columbia University’s Department of Medicine invites applications for a research position in the rank of Associate Research Scientist at The Columbia University Irving Medical Center in the Division of Molecular Medicine in the Laboratory of Dr. Ira Tabas. The position includes both laboratory and translational research. Summary Description: Our laboratory studies the cellular biology of cardiometabolic disease, with an emphasis on the molecular-cellular mechanisms of metabolic-dysfunction-associated steatohepatitis (MASH) and advanced atherosclerosis and the links between these processes. We are seeking a talented Associate Research Scientist with interest and expertise in molecular-cellular mechanisms related to MASH and cardiometabolic disease, with a focus of advanced atherosclerotic lesion development. Priority will be given to candidates who have experience in these areas. The selected candidate will conduct research on the following projects: • MASH: We study the roles of different liver cell types in MASH development and progression, with current investigations focused on (a) links between MASH liver fibrosis and atherosclerosis; (b) new mechanistic insight into human genetic risk factors for MASH fibrosis, with current focus on MBOAT7 and CASP8; (c) mechanisms of efferocytosis in MASH; and (d) new therapeutic strategies to prevent steatosis-to-MASH progression based on our findings., • Advanced atherosclerosis: We have focused on integrated processes that promote advanced plaque progression, with the current focus on defective clearance of the apoptotic cells (efferocytosis) and impaired inflammation resolution. In the efferocytosis field, we study a process called continual efferocytosis, whereby a macrophage ingests and degrades multiple apoptotic cells over a short time period, requiring reprogramming of vesicular trafficking pathways and metabolism of molecules from degraded apoptotic cells. The inflammation resolution project investigates cellular mechanisms of the resolution process and its therapeutic potential, e.g., through the use of atherosclerosis-targeted nanoparticles packaged with resolution mediators. An exciting new area in the lab involves identifying specific mechanistic links between impaired resolution pathways and clonal hematopoiesis of indeterminate potential (CHIP), which is a major risk factor for atherosclerosis and coronary artery disease in humans over the age of 60 Qualifications Minimum Degree Required: Ph.D., MD or both Minimum Qualifications: 2.5 years post-graduation for PhD graduates, first author high-quality publications published in first-rate journals and experience in the research areas outlined above. Salary Range $79,327 – $100,000 Link to apply- apply.interfolio.com/172456 Application Instructions Special Instructions to the Applicant: To apply, please submit a CV and three references. Optional Documents: • Cover Letter, • Dissertation Abstract, • List of References, • Writing Sample/Publication 1 Writing Sample/Publication 2, • Research Abstract Equal Employment Opportunity Statement Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.

Job DescriptionThe Role We are looking for a Senior Climate Scientist with strong industry experience and a robust coding background to join our team. This role requires a blend of scientific expertise, technical proficiency, and communication skills, enabling you to not only contribute to our wildfire and climate models but also effectively pitch and discuss our models and systems with stakeholders. Primary Responsibilities • Develop, refine, and validate climate and wildfire models to support underwriting and risk management., • Communicate complex scientific models and data-driven insights to both technical and non-technical audiences., • Collaborate closely with cross-functional teams, including engineering and underwriting., • Stay up-to-date with the latest climate science research, methodologies, and industry trends., • Design and implement Python-based analytical tools and models., • Analyze historical and predictive wildfire and climate data to improve model accuracy and effectiveness. Essential Experience of a Successful Candidate • PhD or Master's degree in Climate Science, Meteorology, Environmental Science, or a related field., • Proven industry experience in climate modeling, wildfire risk assessment, or similar domains., • Strong Python programming skills, including experience with data analysis libraries such as Pandas, NumPy, and geospatial tools., • Hands-on experience with climate and wildfire modeling techniques and tools., • Excellent communication skills, capable of simplifying complex models for diverse audiences., • Experience presenting at conferences or pitching scientific models to industry stakeholders., • Familiarity with machine learning techniques for climate data analysis., • Knowledge of geospatial data analysis and visualization frameworks., • Be part of a mission-driven company tackling real-world challenges., • Work with a passionate and innovative team in a collaborative environment., • Opportunity to influence cutting-edge wildfire risk modeling in a dynamic industry., • Competitive salary ranging from $120,000 to $160,000 depending on experience and qualifications., • Benefits package includes remote work flexibility, with tools to support productive work from home.

Job Description About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 450 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world. About the role This is remote, full-time A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. RESPONSIBILITIES: • Lead a team of data scientists to develop innovative solutions to complex business problems., • Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • 8+ years experience in Data Scientist or Machine learning., • Strong programming skills in languages such as Python, R, C++, and SQL., • Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow, • Experience with cloud compute environments such as AWS, GCP, Azure, • Experience leading data science teams., • Ability to work independently and manage multiple projects simultaneously., • Strong problem-solving skills and attention to detail., • Excellent communication skills both written and verbal. Powered by JazzHR UGiRW7qU9F

Job DescriptionAbout the Role We are a data science-driven special investigations unit that uses data across employers, insurers, and contractors to prevent fraud in the insurance space, with a focus on workers' compensation and personal injury fraud. We're building smarter, more predictive systems that will shape the future of fraud detection in blue-collar industries. What We're Looking For We need a talented Data Scientist to work at the intersection of data and engineering, applying statistical analysis, machine learning, and thoughtful experimentation to uncover fraud and assess labor risk. You should have a strong problem-solving mindset and excellent communication skills. What You'll Do • Design and implement statistical models and machine learning algorithms to detect fraudulent patterns., • Analyze large-scale datasets to derive actionable insights for internal and customer-facing applications., • Work cross-functionally with leadership, engineering, and users to align data initiatives with business goals., • Collaborate closely with engineering and product teams to bring data science solutions into production., • 1 - 5 years of experience working on data science projects in fraud/risk modeling, cybersecurity, or machine learning., • Salary: $120k - $160k, • Equity: 0.25% - 0.5%, • Visa sponsorship is not available for this role. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description This position is posted by Jobgether on behalf of Trepp, Inc. We are currently looking for a Senior Data Scientist in New York (USA). This role offers an exciting opportunity to lead the design, development, and deployment of advanced machine learning and AI models with real business impact. The Senior Data Scientist will work across product, engineering, and business teams to identify opportunities for data-driven decision-making and to implement scalable solutions in production systems. This position emphasizes strategic thinking, technical leadership, and mentoring of junior colleagues, while driving innovation in AI, deep learning, and analytics. Ideal candidates thrive in a collaborative environment, translating complex data insights into actionable recommendations for executives and stakeholders. Flexibility is offered with partial remote work options, and the role encourages continuous learning in emerging AI technologies. Accountabilities · Lead end-to-end development and deployment of machine learning and AI models for production systems. · Define project objectives, scope, methodologies, and ensure alignment with business goals. · Identify data-driven opportunities and develop innovative solutions to enhance decision-making. · Oversee model performance monitoring, implementing strategies for continuous improvement. · Present insights and recommendations to executive leadership and key stakeholders. · Promote best practices in data science methodologies, coding standards, and reproducibility. · Mentor junior and mid-level data scientists, fostering collaboration and knowledge sharing. · Partner with engineering, product, and business teams to integrate AI solutions into core offerings. Requirements · Bachelor’s degree in Data Science or related field with 5+ years of progressive experience, or Master’s degree with 3+ years of relevant experience. · 3+ years of experience with Python libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. · 3+ years of experience with cloud computing platforms (AWS, Azure) for ML/AI deployment. · 3+ years of experience with supervised and unsupervised learning algorithms including regression, classification, clustering, and time series forecasting. · 2+ years of experience designing, fine-tuning, and deploying GenAI models. · 2+ years of experience leading data science projects and mentoring team members. · Knowledge of machine learning, commercial mortgage-backed securities, commercial real estate, commercial lending, or collateralized loan obligations is a plus. · Strong analytical, problem-solving, and communication skills. Benefits · Competitive base salary starting at $169,541 per year. · Opportunities for remote work (up to 2 days per week). · Professional growth through mentoring and cross-functional collaboration. · Exposure to cutting-edge AI, deep learning, and big data technologies. · Supportive, collaborative, and knowledge-sharing work environment. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Job DescriptionAbout Fusemachines Fusemachines is a leading provider of AI strategy, talent, and education services. Founded by Dr. Sameer Maskey, an Adjunct Associate Professor at Columbia University, our mission is to democratize AI. With a presence in four countries—Nepal, the United States, Canada, and the Dominican Republic—and a team of over 350 full-time employees, we leverage our global AI expertise to drive innovation and transformation for businesses worldwide. This is a remote role. 6 months contract with us and after that will be hired as a full time employee directly with the client. About the role As a Data Scientist on our team, you will contribute to new product development in a collaborative, small-team environment, writing production code for both run-time and build-time applications. You will help design and implement data-driven solutions for complex business challenges by discovering, extracting, and modeling knowledge from large-scale natural language datasets. Your work will involve prototyping new ideas and collaborating with data scientists, product designers, data engineers, front-end developers, and domain experts to drive innovation. This role offers the opportunity to work in a fast-paced, start-up-like culture while leveraging the resources and scale of an established company. Responsibilities • Develop and implement LLM-based applications for various use cases., • Evaluate and maintain data assets and training/evaluation datasets., • Design and build pipelines for preprocessing, annotating, and managing large-scale text datasets., • Collaborate with domain experts to understand requirements and ensure ML applications align with business needs., • Conduct experiments and evaluate model performance to drive continuous improvements., • Fine-tune and deploy large language models(LLMs) to enhance their performance on specialized tasks., • Interface with other technical teams to finalize requirements., • Work closely with development teams to understand complex product requirements and translate them into scalable software solutions, • Implement development best practices, including coding standards, code reviews, and production-ready implementations. Requirements • Practical experience with large language models (LLMs), prompt engineering, fine-tuning RAG-based applications, and benchmarking using frameworks like LangChain., • Strong background in natural language processing (NLP) with experience using spaCy, word2vec, Flair, BERT., • Formal training in machine learning, including dimensionality reduction, clustering, embeddings, and sequence classification algorithms., • Proficiency in Python and experience working with ML frameworks like PyTorch, TensorFlow, and Hugging Face Transformers., • Experience with cloud platforms such as AWS, GCP, or Azure., • Understanding of data modeling principles and complex data architectures., • Experience working with relational and NoSQL databases and vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch, OpenSearch)., • Familiarity with distributed computing frameworks like Spark, Scala, or Ray (highly preferred)., • Knowledge of API development, containerization (Docker, Kubernetes), and ML deployment (highly preferred)., • Hands-on experience with ML Ops/AI Ops, including experiment tracking tools like LangFuse and DVC., • Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face TransformersPreferred Qualifications, • MS in Data Science, Computer Science, Statistics, Machine Learning, or related field NXhNfVyKHF

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We're looking for a Data Scientist to join our Directory team, ensuring that Garner maintains a best-in-class understanding of physicians and healthcare facilities across the U.S. Where you will work: This is a hybrid role and will require up to 3 days in Garner's New York City office. What you will do: • Build and maintain data-driven algorithms, including AI and machine learning models, to improve provider recommendations and the member search experience., • Enhance Garner's understanding of the provider landscape by evaluating and integrating data from multiple sources., • Design scalable data pipelines that ingest, clean, and enrich healthcare provider data., • Collaborate cross-functionally with product, engineering, and operations teams to translate business needs into data-driven solutions.What you will bring to the team:, • 1-3 years professional experience in data science, product analytics, and/or healthcare., • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders., • Experience with Python and SQL., • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success., • Experience working in a rapidly evolving startup environment., • A desire to be a part of our mission to improve the U.S. healthcare system.

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Data Scientist - Crypto - this is a fully remote role for US based candidates or Europe based candidates (if they can work EST hours). We are the first automated, on-chain economic security system enabling crypto protocols to optimize risk management and capital efficiency while safeguarding user funds. We analyze protocol mechanics and scenario implications using world-class custom EVM simulations to provide actionable insights. Our platform is trusted by leading protocols, including Aave, GMX, dYdX, Venus, Jupiter and others, to manage and secure billions of dollars in assets. We are seeking a proactive and results-driven Senior Data Scientist to join our team. Reporting directly to the Head of Economic Risk & Strategy, you will play a critical role in advancing our modeling capabilities and delivering powerful data insights across decentralized finance. In this role, you will collaborate with protocol teams and internal stakeholders to support strategic research, simulation, and risk analysis. Responsibilities: * Work alongside leading crypto engineers and product managers to deep dive into market-leading protocols and help drive game-changing insights and predictions (see example) * Lead and drive innovative research to understand how different actors in the crypto market behave and interact, and drive modeling of such actors into our simulation platform * Present your insights and suggestions to audiences both internally and externally with the opportunity to publish industry-defining research * Explore new algorithms and techniques to surface insights in DeFi security and optimizations * Build data models and visualizations of public blockchain data and simulation results that provide intuitive analytics to customers such as AAVE, Uniswap, dydx, and others * Collaborate with cross-functional teams to ensure high-quality outputs. * Contribute to the continuous improvement and innovation of our platform. Requirements: * 4+ years of professional experience in Data Science – a must * Strong trading background required, including experience building models and deep understanding of derivatives, pricing, financial markets, and systems * Previous experience in FinTech * Solid understanding of machine learning techniques and algorithms * Hands-on experience with Python and relevant data science packages * You love working in small, dynamic, fast-paced teams that encourage you to learn and grow * Strong problem-solving abilities and a passion for DeFi and blockchain technology Preferred Qualifications: * Bonus points for prior web3 experience using Dune or writing smart contracts * Bonus points for DeFi knowledge * Broader understanding of crypto and blockchain ecosystem – a plus * Demonstrated ability to work in a fast-paced, collaborative environment Compensation & Package Our Perks: * Flexible hybrid work environment. * Competitive PTO (21 days) + sick days (7) + 8 observed US-company holidays. * 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents. * FSA or HSA (pending on selected health insurance). * Generous 401k plan with employer match. * Thoughtful Parental Leave Policy. * Corporate wellness programs with OneMedical, Teladoc, Talkspace, EAP. * Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalized professional development. * Pre-tax Commuter Benefits. * Salary and seniority level commensurate with experience (range: $130-150K USD)

Job Description Machine Learning Researcher / Data Scientist Global Investment Firm J Harlan Group is currently conducting a search for a Machine Learning Researcher / Data Scientist at a prominent Global Investment Firm in NYC. Machine learning researchers at the firm create novel machine learning approaches to financial applications. They utilize their creativity and innovation to help the firm trade profitably in markets around the globe. All types of learning and AI, including deep learning and statistical learning, are potentially relevant. You'll work with smart, talented people across their business to create groundbreaking, next-generation data intensive machine learning applications. You'll be involved, hands-on, through the entire cycle. They will expect you to be agile / to lead / to think outside the box. In return, they'll give you challenging work that has an impact / Opportunities to learn and grow / and a collaborative culture that encourages every member of our team to bring their point of view to the table—because that's how we help our clients succeed. Principal Responsibilities: The team is tasked with building next generation of advanced statistical and machine learning methods to produce models and prescriptive data that result in better decisions by their Portfolio Managers, Analysts, and Traders, Quants and / or applications. Specific responsibilities include designing, implementing, testing experimentally and scaling up new models for forecasting asset prices, developing new tradeable signals, and other financial applications. The ideal candidate would have a background and a deep passion for working with machine learning techniques within the investment community. • Strong computer science and technical background with exceptionally, creative “Hands-On” High Impact Machine Learning Research and Applications experience - All types of learning and AI, including deep learning and statistical learning, are potentially relevant., • Experience and a high level of interest in financial markets (with prior experience a big plus) – candidates from both industry and academia with broad experience across multiple fields of Machine Learning is a plus., • Ability to work in an open collaborative and highly charged investment environment., • Strong desire to contribute and build a business – not just solve novel problems. About the Client: The firm is a prominent multinational investment management firm. The company manages a variety of investment funds that make extensive use of quantitative methods and proprietary computational technology to support fundamental research in the management of its investments. They have a relentlessly focuses on innovation and integration: innovation in new products, markets and businesses as well as new tools, models and technology management and performance structures; integration of fundamental research, quantitative strategies and technical analysis, all supported by an intensive focus on operational excellence and comprehensive risk management. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients

Job Description mParticle by Rokt is widely recognized as one of the leading customer data platforms, serving hundreds of global brands and helping them turn data to insights and insights to action. Built on top of end-to-end streaming architecture, we are committed to empowering businesses to deliver personalized and engaging experiences to their customers across all screens and devices. We believe that the opportunity to help teams activate insights from their customer data to deliver more relevant and adaptive experiences is more important than ever. In January 2025 mParticle merged with Rokt and became mParticle by Rokt. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions, connecting 400 million customers across the world’s leading companies. We are Rokt, a hyper-growth ecommerce leader. We enable companies to increase value by unlocking real-time relevancy in the moment that matters most, when customers are buying. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions connecting 400 million customers across the world’s leading companies. In January 2025, Rokt’s valuation increased to $3.5 billion USD, allowing us to expand rapidly across 15 countries. The Rokt engineering team builds intelligent infrastructure and platforms that power mission-critical services. At this scale, excellence in reliability, performance, and developer experience is non-negotiable. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Senior Data Scientist (Identity & Attribution) Total Compensation between: $300,000-$375,000, which includes a fixed annual salary between $200,000 - $250,000, employee equity plan grant & world class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the Role: As a Senior Data Scientist on the Identity team, you’ll play a critical leadership role in building scalable systems and models that power identity and attribution — tackling problems like entity resolution, data enrichment, and real-time user matching. You will drive data-driven strategies, lead complex analyses for entity resolution, and collaborate cross-functionally to enhance the quality, effectiveness, and scalability of our identity systems. • Spearhead complex analyses applying advanced statistical methods and machine learning techniques to large-scale identity data, uncovering actionable insights to to significantly improve the effectiveness and quality of our attribution and user graph systems, including but not limited to identity., • Independently identify, scope, and champion high-impact opportunities for innovation within the identity space, developing novel analytical approaches and data-driven strategies., • Test and run experiments to determine impact on model relevancy., • Define key metrics for tracking the health and performance of identity systems; Design, build, and maintain robust data pipelines to support machine learning model deployment and large-scale data processing for identity use cases, • Conduct proactive analysis, modeling, and automation of improvements to entity resolution in areas such as geography, linkage, fraud detection, and risk assessment., • Partnering closely with product and engineering teams to develop the strategy for evolving our identity graph. About You: • 6+ years of industry experience as a Data Scientist (or 3+ years with a PhD), including significant work with identity, fraud, or security data, • Master’s degree in Statistics, Econometrics, Machine Learning, or related fields., • Demonstrated project leadership, mentorship, and ability to tackle highly ambiguous technical and business problems, • Strong knowledge of online AB testing and experimentation, • Strong knowledge of Python 3 (data science libraries) and SQL;, • Experience with distributed computing frameworks, particularly Spark is preferred, • Experience with Kubeflow is preferred, • Understands prompts for AI and is comfortable with using AI to improve day to day productivity, • Experience with large-scale data science projects in identity, attribution, fraud, or related areas (e.g., authentication, user verification, risk scoring, graph-based linking), • Strong analytical / modeling experience tied to business outcomes, • Applied use of visualization tools such as matplotlib, seaborn, tableau, Python visual libraries, • Experience with common Python data science libraries such as pandas, numpy and scipy About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Accelerate your career. We offer roadmaps to leadership and an annual training allowance, • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.The Role: We are seeking a Senior Product Data Scientist to take a leadership role in shaping product strategy through data-driven insights. As a key partner to product managers, engineers, and business stakeholders, you will own experimentation frameworks, influence key product decisions, and drive the development of actionable metrics that guide long-term success. This role requires a mix of product thinking, statistical expertise, and leadership to ensure our product decisions are based on sound data principles. As a senior team member, you will also mentor junior data scientists and contribute to best practices in experimentation, KPI development, and data storytelling. The ideal candidate has hands-on experience in a mobile-first marketplace setting, and can thrive in a fast-paced, proactive, and dynamic environment. Above & Beyond: The Impact You'll Make: • Product Leadership: Partner with product and business teams to shape roadmaps, define success metrics, and ensure a data-driven approach to decision-making., • Experimentation & Statistical Testing: Lead the design, execution, and analysis of A/B tests and other causal inference methods to measure the impact of product changes., • KPI Development & Product Analytics: Define, monitor, and iterate on product success metrics to track growth, engagement, and retention., • Data-Driven Storytelling: Translate complex statistical analyses into clear narratives that influence product strategy and executive decision-making., • Cross-Functional Influence: Act as a thought leader in product analytics, helping to prioritize features and experiments based on rigorous data insights., • Data Infrastructure & Enablement: Work with data engineers to build scalable analytics solutions and empower product teams with self-serve tools., • Mentorship & Best Practices: Guide junior data scientists and analysts, fostering a strong culture of data literacy and experimentation within the organization. One Team One Dream: What We Need to Work Together: • Education: Bachelor's, Master's, or PhD in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Engineering)., • Experience: 5+ years in data science, product analytics, or a related field, with a strong track record of influencing product decisions through data.Technical Skills:, • Experimentation: Expertise in A/B testing, causal inference, and experimental design (e.g., power analysis, sample size estimation, multivariate testing). Switchback testing is a plus., • Measurement and Tracking: Experience with third-party tracking tools, such as Adobe Analytics, Segment, or mParticle and experience with supporting tagging and tracking for Analytics purposes., • Conversion Funnels: Deep understanding of marketplace user conversion funnels and experience in diagnosing growth opportunities within them., • Programming and Tooling: Proficient in Python/R and SQL for data analysis, model building, and reporting., • Business Intelligence: Experience working with business intelligence data visualization software, such as Tableau or Sigma. Leadership & Communication Skills:, • Strategy: Ability to own and drive product analytics strategy, proactively identifying opportunities for impact., • Collaboration: Ability to work cross-functionally with teams in marketing, supply, finance, and fan happiness to achieve broader business and marketing goals., • Communication: Clear communicator capable of presenting technical findings and strategic recommendations to stakeholders across different teams.Problem-Solving and Decision-Making:, • Critical Thinking: Demonstrates strong critical thinking and decision-making abilities, especially under pressure., • Proactive: Proactive in identifying challenges and implementing solutions and embodies a proactive and "Always be Curious" mindset. What We can Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company offsites and meet-ups, • Wellness programs

Job Description Job Title: Senior Data Scientist, Agentic AI Location: New York, NY office (hybrid - 3 days a week onsite) Main Skills: Data Scientist Agentic AI, Modeling, Statistics, Python, insurance data, (records, claims) This is a potential contract to hire role. Client is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. This role presents a distinctive opportunity to drive real-world impact by applying cutting-edge AI to transform how Client does business. Client’s Data & AI team spearheads a culture of intelligence and automation across the enterprise, creating business value from advanced data and AI solutions. Our team includes data scientists, engineers, analysts, and product leaders working together to deliver AI-driven products that power growth, improve risk management, and elevate customer experience. Client created the Data Science Lab (DSL) to reimagine insurance in light of emerging technology, evolving consumer needs, and rapid advances in AI. The DSL expedites Client’s transition to data-driven decision making and fosters innovation by rapidly testing, scaling, and operationalizing state-of-the-art AI. We are seeking a Senior Data Scientist, Agentic AI—an experienced individual contributor with deep expertise in AI/ML and a track record of turning advanced research into practical, impactful enterprise solutions. This role focuses on building, deploying, and scaling agentic AI systems, large language models, and intelligent automation solutions that reshape how Client operates, serves customers, and drives growth. You’ll collaborate directly with senior executives on high-visibility projects to bring next-generation AI to life across Client’s products and services. You will: Key Responsibilities • Design and deploy Agentic AI solutions to automate complex business workflows, enhance decision-making, and improve customer and employee experiences., • Operationalize cutting-edge LLMs and generative AI to process and understand unstructured data such as contracts, claims, medical records, and customer interactions., • Build autonomous agents and multi-step reasoning systems that integrate with Client’s core platforms to deliver measurable business impact., • Partner with data engineers and AIOps teams to ensure AI models are production-ready, scalable, and robust, from prototype to enterprise deployment., • Translate research in agentic AI, reinforcement learning, and reasoning into practical solutions that support underwriting, claims automation, customer servicing, and risk assessment., • Collaborate with product owners, engineers, and business leaders to define use cases, design solutions, and measure ROI., • Contribute to the Data Science Lab by establishing repeatable frameworks for developing, testing, and deploying agentic AI solutions., • Mentor junior data scientists and contribute to the standardization of AI/ML practices, tools, and frameworks across Client. You are: • Passionate about pushing the frontier of AI while applying it to solve real-world business problems., • Excited by the potential of agentic AI, autonomous systems, and LLM-based solutions to transform industries., • A hands-on builder who thrives on seeing AI solutions move from proof-of-concept to real-world deployment., • Comfortable working in multi-disciplinary teams and engaging with senior business leaders to align AI solutions with enterprise goals. You have: • PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field, • 3+ years of hands-on AI modeling/development experience, • Strong theoretical foundations in probability & statistics, • Strong programming skills in Python including PyTorch, Tensorflow, LangGraph, • Solid background in machine learning algorithms, optimization, and statistical modeling, • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level, • Excellent analytical and problem-solving abilities with superb attention to detail, • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Company DescriptionData Scientist working with Agentic AI, Modeling, Statistics, Python, unstructured or insurance data, (records, claims) for a global insurance company in NYC.Data Scientist working with Agentic AI, Modeling, Statistics, Python, unstructured or insurance data, (records, claims) for a global insurance company in NYC.

Job DescriptionCompany Overview:Established in 1805, the New York City Department of Health and Mental Hygiene (the NYC Health Department) is the oldest and largest health department in the country. Our mission is to protect and improve the health of all New Yorkers, in service of a vision of a city in which all New Yorkers can realize their full health potential, regardless of who they are, how old they are, where they are from, or where they live. As a world-renowned public health agency with a history of building transformative public health programming and infrastructure, innovating in science and scholarship to advance public health knowledge, and responding to urgent public health crises — from New York City’s yellow fever outbreak in 1822, to the COVID-19 pandemic — we are a hub for public health innovation, expertise, and programs, and services. We serve as the population health strategist, and policy, and planning authority for the City of New York, while also having a vast impact on national and international public policy, including programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and racial and social justice work, among others. Job Summary:The Bureau of Data Technology and Strategy seeks a Data Science Associate to provide technical support for the application of data science to study public health outcomes and solutions. The Data Science Associate will engage in the implementation of AI/ML research tools, bringing in-house solutions to scale, and adapting developed technologies to new use cases. Problem-solving and stakeholder engagement skills will be applied in the public health setting to facilitate research, advanced analytics, and operations. The Data Science Associate will regularly interface with data engineers, data product developers, and data governance staff to integrate and maintain novel solutions into an enterprise data platform. The Data Science Associate will provide technical assistance to Agency users to promote and maintain the use of AI/ML technology solutions. The Data Science Associate will also provide support to the Senior Research Data Scientist for proposal development including technical advisement on analytic approaches and methods, technology resource requirements, timelines, and intended outputs. The successful candidate will be situated within a values-driven and highly collaborative work unit with strong technical and professional mentorship; professional development opportunities will be continuously available. This position will be within the Health Department’s innovative Center for Population Health Data Science (CPHDS). The CPHDS is working to strengthen citywide population health surveillance by better linking public health, healthcare, and social service data to fully characterize and improve the health of New Yorkers. Our vision is for these data tobe accessible, timely, equitable, meaningfully usable, and protected – and being actively to protect and promote health and wellbeing of New Yorkers. The selected candidate will be an employee of Public Health Solutions, a nonprofit organization which is the fiscal and administrative manager of the grant, but the work be supervised by DOHMH. This position will be based at the Health Department’s office in Long Island City, NY, with the possibility of hybrid work. Responsibilities: • Support research that strengthens public health insights and actions through the use of data scientific methods, especially reusable, scalable AI/ML methods, • Identify and/or assist development of AI/ML methods and/or practices; promote them to agency’s data analysts, data engineers, data scientists, and researchers through trainings and/or reports, • Contribute to development of health equity-focused data products, • Collaborate with CPHDS data engineers, product developers, product managers, and researchers to develop and launch public health analytic solutions for the Agency and the public health community at-large, • Collaborate with internal and external researchers and analysts for various research projects, • Author reports, presentations, and scientific papers based on analyses Qualifications:, • A minimum of 2 years of work experience in statistical learning development, with some work experience in the development of deep learning algorithms, • High fluency in the Python programming language is required, with proficiency in one of the deep-learning frameworks PyTorch or Tensorflow, • Experience in virtualization technology, particularly with working experience in cloud environments (e.g., Azure, GCP, AWS, Databricks), • Experience in the development and deployment of foundation models, • Advanced knowledge and experience in data wrangling, analysis, and visualization, • Knowledge of public health research and operations, including health equity, • Experience developing user interfaces and dashboards, working with geospatial data a plus, • Ability to work with staff at all levels and to communicate complex technical knowledge in language that is understood at every level, • Hybrid Work Schedule., • Generous Paid Time Off and Holidays., • An attractive and comprehensive benefits package including Medical, Dental and Vision., • Flexible Spending Accounts and Commuter Benefits., • Company Paid Life Insurance and Disability Coverage., • 403 (b) + employer matching and discretionary company contributions., • College Savings Plan., • This individual must reside in the tri-state area (NY, NJ, CT) by their confirmed start date., • Preference may be given to individuals residing in New York City (5 boroughs) or surrounding New York State counties., • This individual will be expected to work non-business hours during emergencies., • This is a temporary grant-funded position ending in November 2027 At PHS, we place immense value on diversity within our teams, understanding that varied backgrounds and experiences significantly enhance our community and propel us toward our goals. If you find you don’t have experience in all the areas listed above, we still encourage you to apply and share your background and experiences in your application. We are eager to discover how your unique perspective can bring positive transformations to our team and help advance our mission of creating healthier, more equitable communities. We look forward to learning more about you! PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans. Monday-Friday Hybrid 35 Hours Per Week

Job DescriptionAbout the Client Our client is a rapidly growing technology company at the intersection of healthcare and artificial intelligence. Founded by a team of industry veterans and academic leaders, this organization is on a mission to make high-quality clinical data more accessible for innovation in AI-driven healthcare. They are building a next-generation platform to support the development, training, and validation of responsible AI models with a strong emphasis on data quality and patient safety. About the Role The company is looking for a skilled Data Scientist to help shape, validate, and refine large-scale healthcare datasets for use in clinical research and AI product development. This role plays a crucial part in harmonizing complex, multimodal data from diverse healthcare environments into usable, well-documented formats for clinical and AI teams. Responsibilities * Design and maintain robust data transformation pipelines using tools such as dbt and Snowflake, prioritizing data integrity and transparency. * Normalize and integrate various types of clinical data—including structured records, unstructured notes, imaging, and more—into a unified ontological model. * Collaborate with engineering teams to optimize de-identification and ETL workflows from multiple cloud-hosted healthcare data sources. * Partner with NLP experts to develop methods for extracting structured clinical information from text-based sources. * Apply CI/CD and version control best practices within analytics codebases. * Translate complex research and modeling requirements into scalable data engineering solutions in collaboration with technical stakeholders and external partners. Requirements Required: * At least 3 years of experience in analytics or data engineering. * Strong proficiency with SQL and dbt. * Bachelor's degree in a technical or quantitative field. * Hands-on experience with cloud platforms (especially Snowflake and/or AWS). * Competency in Python for data wrangling and feature generation. * Familiarity with AI/ML workflows and deployment pipelines. * Commitment to clean, modular, and well-documented code using software engineering best practices. * Comfort working in a dynamic, fast-paced startup setting. * Clear communication skills and the ability to advocate for robust data practices. * Passion for advancing healthcare through trustworthy and scalable data infrastructure. Preferred: * Experience with healthcare data standards such as HL7, FHIR, or DICOM. * Background in academic medical research. * Visualization experience using tools like Tableau, Power BI, Hex, or Python libraries. * Exposure to integrating LLM tools and frameworks (e.g., RAG, agent workflows) within analytics pipelines. Benefits & Why Join * Competitive compensation package: base salary in the $145K–$160K range plus equity. * Opportunity to work at the forefront of AI and healthcare innovation. * Collaborative and mission-driven team environment. * Flexibility to work remotely or from the company’s office in New York. * A chance to make a real-world impact by shaping the future of clinical AI and healthcare research.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. About the Opportunity We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions. TTC*: Denver: $276,000.00 - $299,000 New York: $303,000 - $329,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). We hire employees anywhere within the United States and account for geography when determining base salary. Responsibilities • Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications., • Conduct rigorous experimental design, statistical validation, and performance benchmarking of ML algorithms, with emphasis on clinical relevance and generalizability., • Explore novel methods for processing and analyzing large, complex medical imaging datasets., • Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams., • Partner with Regulatory Affairs to support AI-based regulatory submissions (e.g., 510(k), De Novo, PCCP), including generating evidence and documentation., • Collaborate with engineering teams to deploy ML algorithms in clinical practice., • Communicate findings and strategy to internal stakeholders and leadership through clear technical documentation, presentations, and demos., • Contribute to intellectual property development through patents and scientific publications., • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 5+ years combined postdoc and/or industry experience; OR an M.S. with 8+ years of relevant experience., • Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning., • Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection., • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow); experience building reproducible ML pipelines and handling large-scale datasets., • Ability to translate complex clinical requirements into machine learning solutions., • Proven ability to independently drive several complex projects from concept to deployment, including cross-functional coordination., • 2+ years of industry experience in AI-based medical device development or clinical deployment., • Experience supporting FDA regulatory submissions for ML-based software, with familiarity in De Novo, 510(k), and PCCP pathways., • Hands-on experience with advanced ML topics: vision transformers, longitudinal modeling, ML-based survival analysis, semi-/self-supervised learning, continual learning, etc., • Deep domain knowledge in cardiovascular imaging and CT interpretation workflows. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job Description You could be a data scientist anywhere. Why us? * Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) * Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better) * Disrupt a massive market and take us to a $10B business in the next few years * Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company’s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. Here's what an ex-BCG teammate has to say about joining Jerry: "The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say "key," I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc). The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business. I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason." How you will make an impact: * Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies * Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies * Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth * Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: * Bachelor’s degree in a quantitatively or intellectually rigorous discipline * 1-3 years of experience from a top-tier economic consulting firm (Analysis Group, Cornerstone Research, Charles River Associates preferred) OR 1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis * High level of comfort with SQL or Python Who you are: * You have a framework for problem solving and live by first principles * You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite * You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market. Compensation Range: $73K - $125K

Job Description Senior Data Scientist: Remote/Hybrid NYC metro area ($175-200k) Our company is on a mission to redefine the live event experience on a global scale. We're on the lookout for an accomplished Senior Data Scientist to join our Data Engineering & Analytics team. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within our dynamic ecosystem. Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of our consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities. About The Role As a Senior Data Scientist, you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential. Location: Remote/Hybrid in NYC Metro Area What You'll Do • Build and understand modeling related to one of four possible areas including Experimentation, Forecasting, Pricing or Customer Acquisition, • Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences, • Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing, • Find and develop your own roadmaps with business partners and carry out project management and execution of your own work, • Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups, • Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity across your team Required Skills: • 5-9 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred., • Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL, • Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn), • Experience in building production level models in cloud environments (e.g., AWS, Azure), • Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have, • Passionate about working with non-technical stakeholders to understand, anticipate, and deliver on their data needs Salary Range: $175,000—$200K + Bonuses

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. We're hiring a Senior Data Scientist to join our high-performing Advanced Analytics team, embedded within the Specialty Care group. This role will lead technical innovation to drive targeted outreach and scale Specialty Care utilization, leveraging diverse and novel data sources in close partnership with product, design, and engineering. The ideal candidate will thrive in ambiguity, bring strong analytical expertise, and drive rapid experimentation to surface actionable strategies that improve Specialty Care member engagement and health outcomes. This is a full-time, remote-eligible position, reporting into the Associate Director of Data Science under the CFO. What you'll do: • Lead Analytical Strategy for Specialty Care: Own the end-to-end analytical strategy to increase Specialty Care utilization. You will develop and apply advanced methods, including AI, predictive modeling, classification, and clustering, to identify and segment at-risk members for high-acuity conditions. Your work will directly influence product strategy, de-risk new initiatives, and drive measurable business outcomes., • Drive Rapid Experimentation and Outreach: Design and execute a rapid experimentation roadmap to test, validate, and scale targeted member outreach strategies. Some projects will require quasi-experimental approaches to measuring impact. You will analyze results to provide clear recommendations on which initiatives to pursue, shaping the core of the pod's data-driven approach., • Act as an Embedded Technical Leader: Serve as the dedicated data science lead within the Specialty Care product pod, partnering closely with product management and design to influence the team's roadmap, define success metrics, and ensure strategic decisions are grounded in rigorous analysis., • Incremental increase to Speciality Care utilization, • Number of at-risk members identified, • 5+ years of professional data science experience, • Hands-on experience with experimentation, hypothesis testing, and quasi-experimental methods., • Proficiency with SQL and Python, • Experience with data modeling via dbt or similar tools, • Experience working with data visualization and BI tools (e.g., Looker, Hex), • Facility with a product development process in the context of a software product, • Excellent verbal and written communication skills to guide and make recommendations to business partners, • Proven ability to incorporate AI as a tool to solve complex business problems; including experience with prompt engineering for LLMs, using AI for code optimization and documentation, and establishing best practices for using these tools across teams., • Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and business impact in a fast-paced environment, • Proven success at navigating ambiguous problem areas and learning new approaches, • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Job Description Hi, we're Oscar. We're hiring a Staff Applied AI Engineer to join our AI team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role Join Oscar's AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As a Staff Applied AI Engineer, you'll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You'll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You'll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members. You will report to the Director, AI. Work Location: This is a hybrid role in our New York office (in Hudson Square). You will work part of the time in the office and part of the time remote / work-from-home. #LI-Hybrid Pay Transparency: The base pay for this role is: $192,000 - $252,000 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems., • Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics., • Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback., • Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences., • Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation., • Contribute to Oscar's AI strategy and technical vision, helping shape the future of healthcare through technology., • Other duties as assignedQualifications, • 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments, • Strong Python programming skills, • Experience solving complex, ambiguous problems, • Experience designing and analyzing experiments or evaluations, • Experience or an interest in prototyping full-stack applicationsBonus Points, • Experience with the healthcare industry. Familiarity with claims or clinical data., • Degree in math, statistics, data science, or engineering., • Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact., • Experience with NLP, neural networks, transformers, and modern AI frameworks., • Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang). At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. Artificial Intelligence (AI) Guidelines: Please see our AI Guidelines for the acceptable use of artificial intelligence during the interview process at Oscar. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Notice to Job Applicants.

Job Description Role Description: Are you looking for a new career opportunity that will allow you to develop and use cutting-edge AI technologies to solve challenging NLP problems while making a positive impact on the world? If so, we would love to hear from you! Dyania Health is looking for NLP Applied Scientists to help us transform the way in which machines process biomedical information, and revolutionize the way in which clinical trials are conducted. You will be working alongside team members with deep technical expertise in NLP, top medical professionals (MDs, pharmacology PhDs, and others), and an experienced product team. The ideal candidate will have strong foundations in computer science and ML/NLP, superb communication skills, and a proven track record of delivery under tight deadlines. Requirements Required Qualifications: • Graduate degree in a relevant field (Computer Science, Mathematics, Electrical Engineering), • 2+ years experience in building and deploying ML models, • Experience in applying transformer-based deep-learning techniques to challenging NLP problems, • Fluency in Python and experience with Python-based ML frameworks such as PyTorch, • Publications in top-tier NLP conferences, • Background in classical computational linguistics, • Design, build, evaluate, and deploy algorithms and models for accurately extracting medical information from structured and unstructured data sources, • Work closely with product, UX, and clinical teams to prototype and test new functionality, • Analyze performance results and convey your analyses to relevant stakeholders • 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.

Job Description 🚗 Why us? Your car and your home are the two most expensive things you’ll ever own — and the hardest to manage. At Jerry.ai, we’re building the first super app to help everyday Americans take control of both. From insurance and financing to repairs and real estate, we’re reimagining what it means to own and maintain your car and home. This is a $5 trillion+ problem — and we’re the only company tackling it end to end. 2024 was a milestone year for Jerry.ai. We delivered nearly 50% year-over-year revenue growth while reaching profitability for the first time in our history. And we're just getting started! Our growth is driven by forward-thinking technology; Harvard Business Review covered the success of our chatbot less than a year after its launch and Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article. 💻 About the opportunity We are looking for a Staff Applied Data Scientist (PhD) who is energized by working with a high caliber team and making a material difference in the lives of millions to join us! Reporting directly to our cofounder/CTO, you will architect and deploy advanced ML models with massive real-world applications (e.g. model & predict user behavior, leverage LLMs and custom-built components to optimize our chatbot & voicebot, etc). Come play a key role in helping us grow from 5M to 50M customers and become a $10B company in the next 4 years! We have a fast-paced startup culture that empowers you to move quickly, test, iterate, and own projects end-to-end in an environment where your ideas matter and your impact is felt from day one. You’ll work with extremely talented and passionate engineers, data scientists, and analysts from companies like NVIDIA, Meta, Amazon, ByteDance, Square, Robinhood and more. 🫵 How you will make an impact * Develop and architect complex machine learning models to address critical business challenges and drive company-wide strategic initiatives * Take ownership of the end-to-end modeling process, from initial ideation to model deployment and maintenance * Conduct thorough data preparation and analysis to ensure the quality and relevance of input data for modeling tasks * Collaborate closely with cross-functional teams, including Product and Data Engineering to productize and deploy models into production systems * Contribute to large-scale company initiatives aimed at solving problems that haven’t yet been touched by anyone at Jerry.ai 🚀 Requirements * PhD in Physics or related field * 5+ years of experience building and deploying models from scratch. * Deep understanding of machine learning algorithms and techniques, with experience in building and deploying models from scratch. * Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical modeling solutions. * Passion for real-world application of machine learning, with a desire to make a significant impact on large-scale business initiatives. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

Job Description 🚗 Why us? Your car and your home are the two most expensive things you’ll ever own — and the hardest to manage. At Jerry.ai, we’re building the first super app to help everyday Americans take control of both. From insurance and financing to repairs and real estate, we’re reimagining what it means to own and maintain your car and home. This is a $5 trillion+ problem — and we’re the only company tackling it end to end. 2024 was a milestone year for Jerry.ai. We delivered nearly 50% year-over-year revenue growth while reaching profitability for the first time in our history. And we're just getting started! Our growth is driven by forward-thinking technology; Harvard Business Review covered the success of our chatbot less than a year after its launch and Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article. 💻 About the opportunity We are looking for a Staff Applied Data Scientist (PhD) who is energized by working with a high caliber team and making a material difference in the lives of millions to join us! Reporting directly to our cofounder/CTO, you will architect and deploy advanced ML models with massive real-world applications (e.g. model & predict user behavior, leverage LLMs and custom-built components to optimize our chatbot & voicebot, etc). Come play a key role in helping us grow from 5M to 50M customers and become a $10B company in the next 4 years! We have a fast-paced startup culture that empowers you to move quickly, test, iterate, and own projects end-to-end in an environment where your ideas matter and your impact is felt from day one. You’ll work with extremely talented and passionate engineers, data scientists, and analysts from companies like NVIDIA, Meta, Amazon, ByteDance, Square, Robinhood and more. 🫵 How you will make an impact * Develop and architect complex machine learning models to address critical business challenges and drive company-wide strategic initiatives * Take ownership of the end-to-end modeling process, from initial ideation to model deployment and maintenance * Conduct thorough data preparation and analysis to ensure the quality and relevance of input data for modeling tasks * Collaborate closely with cross-functional teams, including Product and Data Engineering to productize and deploy models into production systems * Contribute to large-scale company initiatives aimed at solving problems that haven’t yet been touched by anyone at Jerry.ai 🚀 Requirements * PhD in Physics or related field * 5+ years of experience building and deploying models from scratch. * Deep understanding of machine learning algorithms and techniques, with experience in building and deploying models from scratch. * Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical modeling solutions. * Passion for real-world application of machine learning, with a desire to make a significant impact on large-scale business initiatives. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market. Compensation Range: $180K - $240K

Job DescriptionCompany Description About A Place for Mom: A Place for Mom is the leading online resource connecting families searching for senior care with a team of expert advisors providing insight-driven, personalized solutions. As the nation’s largest senior care advisory service, A Place for Mom helps hundreds of thousands of families every year navigate the complexities of finding the right senior care solution for their loved ones across home care, independent living, memory care, assisted living, and more. Established in 2000 as a family business, A Place for Mom employees are deeply committed to the company mission to enable caregivers to make the best senior care decisions. A Place for Mom fosters, cultivates, and preserves a culture of diversity, equity, and inclusion. Our employees live the company values every day: • Mission Over Me: We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy., • Do Hard Things: We are energized by solving challenging problems and see it as an opportunity to grow., • Drive Outcomes as a Team: We each own the outcome but can only achieve it as a team., • Win The Right Way: We see organizational integrity as the foundation for how we operate., • Embrace Change: We innovate and constantly evolve.Job Description The Position: A Place for Mom is seeking a Senior Product Manager, Data Products to help build the future of our senior care data ecosystem. As a member of our growing Data Product team, this role will define and drive how we systematically collect, organize, and package our internal proprietary data to maximize value for the families we serve and our partners within the senior care space. What you will do: In this role, you will oversee the next evolution of A Place for Mom’s data capabilities, developing the vision for an updated foundation of data capable of powering a diverse and growing set of internal- and external-facing use cases. You will partner closely with a wide range of key stakeholders - from senior leadership, to marketing and sales domain owners, to product and technical vertical owners - to define and execute on an ambitious roadmap to democratize insights and unlock new sources of value for our clients and customers. Specific responsibilities include: • Articulation of the vision and practical execution plan for a robust and easy-to-use semantic layer to serve as the underpinning of company-wide analytics, • Collaboration with stakeholders to scope and develop net-new curated datasets optimized for key internal use cases (e.g. forecasting, user profiles, targeted outreach, etc.), • Providing clear, well-scoped requirements to data engineering and platform teams to enable timely delivery of updated functionality, • Partnership with analysts and MLEs to identify opportunities to optimize data organization for cost-effectiveness, accuracy, and time-to-insight, • Evangelization of self-service data tools - including AI-powered solutions - to a variety of technical and non-technical stakeholders, • Proactive communication to senior leadership of progress and identified value-add of data investments, • Work with business unit teams to identify, evaluate, and productize data monetization opportunitiesQualifications, • Bachelor’s degree (Master’s preferred) in quantitative/statistics-intensive field such as Statistics, Economics, Mathematics, or Computer Science, • 5+ years of experience in platform product management, with preference for candidates with past data product roles and/or prior background as a data scientist or data engineer, • Demonstrated track record of taking products from ideation through successful implementation (especially internal tools or data-intensive B2B solutions), • Expertise with SQL and data modeling strongly preferred, • Aptitude for defining relevant, actionable KPIs for assessing the health and utility of foundational/infrastructure products, • Excellence in communicating technical information and quantitative insights to leadership audiences, • Comfort operating in high-pace environment and with evangelizing new processes to stakeholders of varying technical skill levels Additional Information Compensation • Base Salary: $150,000 to $175,000 + 10% Bonus, • Benefits:, • 401(k) plus match, • Dental insurance, • Health insurance, • Vision Insurance #LI-KT1 #LI-REMOTE

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: 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 clients. About Adidev Technologies Inc. Adidev Technologies,() 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. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. 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. 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

Job Description Boosted.ai is building AI purpose-built for finance to help teams do more. Our mission is to optimize investing and boost productivity. We're already trusted by leading enterprises and developers with over $5T under management with Boosted.ai. From the fastest growing hedge funds to global financial institutions, our tool lets our users stay ahead of the competition with AI that works for them. We believe that modern investment professionals will win the future of finance by using the best tools; a unique competitive edge powered by data, experimentation, and automation. Boosted.ai is the platform they use to cut through data overload, outpace competitors, and reclaim their time. We're looking for sharp, low-ego people to help teams find their edge. Why is Boosted.ai the best place to work? • Customers love the product (adopted by many of the biggest financial institutions and rapidly expanding to more firms), • We're growing a lot (5x in the last year), • Incredible culture (our customers keep applying to work here) We're looking for a data science "Olympian" to own full-funnel insights, from shaping our best-in-class data stack and infrastructure, to asking the right questions, to running experiments, and to delivering sharp analyses. You'll play a pivotal role in driving strategic decisions and building a data-driven culture. What You'll Do • Drive strategic insights: Own the full-funnel insight process, transforming data into actionable recommendations for go-to-market and product, • Deliver clarity: Translate complex data findings into simple, actionable insights that resonate with both technical and non-technical stakeholders, • Set up data infrastructure: Contribute to building and scaling our data transformation and orchestration capabilities, ensuring accurate and timely data delivery, • Empower self-serve analytics: Develop a robust self-serve analytics platform that empowers all teams to access and leverage data effectively, • Champion a data-driven culture: Establish best practices that encourage non-data teams to use insights effectively, • 4+ year experience, • Expert in SQL and Python or R, • Robust understanding of statistical and machine learning methods, • Storytelling through data, • Experience with data transformation tools and data orchestration tools Compensation At Boosted.ai, we believe in fair and transparent compensation practices. The base salary range for this full-time position is $155,000-$210,000, which may vary depending on experience, skills, and location. This range reflects the minimum and maximum target base salary for new hires. In addition to base salary, employees are eligible for our discretionary bonus program that takes into account both individual and company performance, and participation in our equity program. During the hiring process, we can provide more specific salary information for your location. Our Values We are guided by a set of values that are at the core of our actions and define our culture. These principles are the foundation of our work, and we are committed to upholding them in everything we do. • Collaborative – We value our team and know that success can only come from working together, • Client Centric – Our focus is always on our clients and consistently delivering them value, • Action Oriented – We remove barriers and we seek to improve in measurable ways, • Accountable – We are accountable for ourselves, and we hold each other accountable We want our benefits to reflect our values and offer the following to full-time employees: • Flexible (Unlimited) Paid Time Off, • Medical, Dental, and Vision benefits for you and your family, • Life Insurance and Disability Benefits, • Access to a 401(k) retirement savings plan (for U.S. employees), • Paid Parental Leave, • Free access to use Boosted.ai Alfa™ to make money Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Job DescriptionDescription: Data Analyst Full-Time Hybrid, New York City Who We Are: We believe in small businesses and the people who grow them. At Credibly, we leverage cutting-edge data science, technology, partner relations, and customer support to provide business owners with accelerated access to right-sized capital solutions. From working capital loans and merchant cash advances to lines of credit and business expansion loans, we offer a suite of financing products that can accommodate nearly any stage of business development or credit profile. Founded in 2010 with offices in Michigan, New York, and Arizona, we have provided access to over $1 billion to more than 20,000 small businesses nationwide. On top of being nominated as one of Crain’s 50 fastest growing companies in New York and making several appearances on the Inc. 500 list, Credibly is annually recognized for having one of the "Best Blogs For Small Businesses" by several media outlets. The Opportunity: The Data Analyst will join the Risk Analytics and Data Science organization, and will be responsible for delivering trusted analytics to drive the business forward. The successful candidate will be a business-oriented, collaborative, high-energy data analyst who is passionate about working with business partners and bringing transparency into the data across the organization. What You Will Do: • Collaborate with the business to execute on identified opportunities by performing exploratory data analyses (EDAs), generating, and testing working hypotheses, preparing, and analyzing historical data and identifying patterns to drive revenue and cost savings., • Employ historical data/insights to make informed estimates in helping determine the direction of future trends for the business., • Effectively manage multiple assignments with challenging timelines within a collaborative environment., • Develop and maintain reports that provide insights across the business., • Support the efforts of leadership to ensure our data and analyses are trusted by helping to champion high standards, transparency, and regular communication with the business., • Keep up with the latest trends in advanced analytics., • Explore and test additional/new data sources that may add value. Who You Are: • At least a Bachelor’s degree in a quantitative field such as computer science, data science, statistics, or physics., • 1+ years of experience as a data analyst/data scientist in industry., • Working knowledge of Python, SQL and Microsoft Office tools., • Strong analytical, critical thinking, and creative problem-solving skills., • Excellent written and verbal communication skills, and proven presentation skills. Ability to relay information to senior management in a succinct, insightful way., • Flexible and productive in a hybrid working arrangement. What Makes You Special: • At least a Masters Degree in a quantitative field., • Experience in Banking or risk management., • Working knowledge of Statistical methodologies., • Experience in data engineering., • Experience in developing Machine Learning and AI solutions. How You Will Benefit: • Flexible working conditions, via hybrid remote/in-office work, • Generous PTO package, • 8 Paid Company Holidays, • Paid Parental Leave, Bereavement, and Jury Duty, • 401k with company match (and 100% vesting after 2 years), • Medical insurance through BCBSM or BCN, • Dental and Vision provided by BCBS, • HSA and FSA available, including LPFSA and Dependent Care, • Company paid life insurance and short-term disability, • Additional optional insurancesRequirements:

Job Description We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities • Identify valuable data sources and automate collection processes, • Undertake to preprocess of structured and unstructured data, • Analyze large amounts of information to discover trends and patterns, • Build predictive models and machine-learning algorithms, • Combine models through ensemble modelling, • Present information using data visualization techniques, • Propose solutions and strategies to business challenges, • Collaborate with engineering and product development teams Requirements • Proven experience as a Data Scientist or Data Analyst, • Experience in data mining, • Understanding of machine-learning and operations research, • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset, • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop), • Analytical mind and business acumen, • Strong math skills (e.g. statistics, algebra), • Problem-solving aptitude, • Excellent communication and presentation skills, • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Job Description eDNA Post-Doctoral Associate OceanX About OceanX: OceanX is a nonprofit working to unlock the ocean's sustainable potential. Through a dual focus on science and education, we're building a new paradigm where humanity and the ocean mutually thrive. Our approach is fueled by exploration, leveraging advanced research, multimedia educational programs, cross-sector partnerships, and advanced technology to help transform how people understand and value the ocean. Our work strives to fortify biodiversity and increase the sustainable use of ocean resources to help ensure the ocean remains a foundation for human wellbeing and potential. OceanX is a nonprofit operating program of Dalio Philanthropies. For more information, visit and follow OceanX on Facebook, Instagram, Twitter, X, and LinkedIn. Position Summary: OceanX is seeking a post-doctoral associate in the field of marine eDNA and meta genomics. The position involves work in a laboratory at sea on the research vessel OceanXplorer. The position would require performing nucleic acid sequencing and genome assembly from samples (water, soil, organisms, etc.) collected at sea during international expeditions. When not working on the vessel, the position would entail data analysis at home, in a New York City office or at a collaborating laboratory, domestically or abroad. Experience in marine eDNA purification and analysis, genome assembly and analysis are required. Ability to work independently and with international scientists aboard a research vessel is a must. The position comes with unique access to a range of exploration opportunities aboard an advanced research vessel including submersibles, ROVs, CTDs and a SCUBA diving platform. It is expected that the scientist would develop, execute and publish their scientific work in leading, peer-reviewed scientific journals. OceanX is an entrepreneurial environment which values team players who can manage priorities and workstreams simultaneously. To thrive and succeed within our unique culture and work environment, you must demonstrate humility, innate curiosity, and openness to new ideas/approaches. You also must be hard working, composed and goal oriented. Everyone working with OceanX is expected to be honest, open to giving and receiving objective feedback, constantly striving for self-improvement, and committed to the pursuit of excellence. Position Type: • This is a two-year contract position, with the possibility of renewal after the two-year term, • Note: This position requires spending approximately 50% of working time aboard the vessel, • Develop scientific projects within the field of environmental DNA in the marine environment in collaboration with the OceanX Science Program Director and Vice-Chair/Chief Science Officer, • Collect and analyze samples and data at-sea under scope of mission and projects as-developed with Science Program Director, • Utilize laboratory facilities and equipment on board the OceanXplorer, maintain an inventory of consumables required and/or used to execute project objectives, • Collaborate on board OceanXplorer with guest scientific teams and ship-based teams (ROV, Sub, Science) as-directed by the Science Program Officer to achieve project sampling goals and data requirements, • Professional Experience:, • PhD in molecular biology and genomics, • Ability to work and thrive in an entrepreneurial, rapidly evolving environment, with significant ambiguity, • Ability to communicate effectively in written and oral communications, • Strong project management capabilities, • Proven track record of taking initiative, with the ability to multi-task, collaborate with various team members, and conduct oneself in a highly professional manner when working with both internal and external colleagues., • Personal Attributes:, • Determined, resourceful and practical. An independent, self-starter, with a "roll up your sleeves" attitude and strong work ethic, • Agility, with a track record of getting things done, • Organized, reliable, and meticulous, • Ability to prioritize, meet tight deadlines, anticipate needs, and maintain high quality work, • Strong interpersonal and communication skills (written and verbal), • Comfortable with ambiguity, • Maintains high standards, • Highly collaborative, • General curiosity and passion for the Ocean, • Other Requirements:, • Must be willing and able to live and work aboard the OceanXplorer for prolonged deployments at sea Compensation: Compensation for this role is in the range of USD $90,000–$100,000.

Job DescriptionDescription: About Guideline.ai At Guideline.ai, we’re defining the future of advertising. By harnessing data transparency and advanced tools, we empower marketers to make smarter, faster, and more profitable decisions. We work with the world’s top brands, agencies, and media owners to transform media buying and selling into a more intelligent, efficient experience. If you’re ready to be part of a high-growth company at the cutting edge of data, AI, and media, we’d love to meet you. Data Scientist, Capital Markets The Capital Markets team within Guideline is focused on developing and delivering high value data products and insights that drive client engagement and revenue within the Capital Markets vertical. We are looking for a candidate with a strong command of data analytics and machine learning within the financial vertical and work collaboratively to build products that drive revenue growth. This is a hybrid role, working a few days a week from our office in the Toronto area. Key Responsibilities • Analyze structured and unstructured financial data to generate actionable insights for capital market clients., • Build and maintain predictive models and machine learning algorithms for market trends and KPI forecasts., • Create dashboards and visualizations to communicate insights clearly to both technical and non-technical stakeholders., • Work with domain experts to develop features and test hypotheses relevant to equities and the overall advertising market., • Partner with product and customer teams to embed insights into solutions that align with customer objectives., • Ensure data integrity, quality, and governance in all analytical work. We offer competitive compensation based on experience, education, and skill level. Full-time employees also receive: • Health, dental, life, and disability insurance, • RRSP with company match, • Paid time off and parental leave, • Teledoc Health services, • Employee recognition and referral bonuses Diversity & Inclusion At Guideline.ai, we believe diverse teams build better products and stronger companies. We’re proud to be an equal opportunity employer and encourage applications from people of all backgrounds, experiences, and perspectives. Requirements: • Degree in computer science, data analytics or direct experience required, • 3-5 years of experience with building data insight products that are derivatives of data assets, • Proficient in Python coding, data analytics and machine learning, • Forecast modeling capability, • Strong written and oral communication, • Understanding of the financial markets and direct experience a plus, • Knowledge of the Ad/Media buying industry will be an asset

Job Description 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., • 6+ 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. 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.

Job Description Data Scientist (Risk Intelligence) Location: Onsite New York, NY (5 days/week) Position Type: Full-Time (Permanent) Work Policy: In-person only (Relocation stipend available; visa sponsorship available) Start Timeline: ASAP About This is a foundational data science hire within the Risk & Underwriting team. The Data Scientist will focus on developing and productionizing underwriting models, building risk dashboards, and driving portfolio analytics to support scaling of credit offerings while maintaining strong portfolio performance. Why join * Join a high-impact role as one of the first data science hires in a fintech startup * Build risk intelligence systems powering credit decisions for e-commerce businesses * Collaborate closely with underwriting and product teams in a fast-paced, high-output environment * Opportunity to expand scope into broader intelligence/AI functions over time * Relocation stipend and visa sponsorship available for exceptional candidates Compensation * Base Salary: $140,000 - $170,000 (flexible for senior candidates) * Equity: 0.05% - 0.10% Tech environment * Languages: SQL, Python (or R) * Tools: Hex, Looker, Mode, Metabase * Focus areas: Underwriting models, credit risk analytics, portfolio monitoring, dashboards Role summary The Data Scientist will partner with underwriting to design, implement, and optimize credit risk models, monitoring tools, and automation workflows. The role requires a mix of strong technical skills, financial acumen, and the ability to operate as a generalist in a lean startup environment. Responsibilities * Build dashboards, monitoring tools, and risk models * Automate underwriting and credit assessment workflows * Conduct back-testing and model tuning * Collaborate with underwriting to translate business needs into quantitative insights * Expand scope to broader intelligence/AI functions as the company grows Must-have qualifications * 4+ years of experience in data science, preferably in credit, underwriting, or financial services * Proficiency in SQL and Python (or R) * Strong background in statistics, machine learning, and data modeling * Experience with dashboards and data visualization tools (e.g., Hex, Looker, Mode, Metabase) * Strong communication skills and ability to operate in a generalist startup environment * Ability to work onsite in NYC 5 days/week (relocation possible) Preferred qualifications * Experience in e-commerce lending or fintech startups with lending products * Exposure to both fintech and traditional banking environments * Understanding of financial KPIs and ecommerce/fintech datasets * Experience working closely with credit/risk or lending teams * Signals of excellence such as: * Prior experience building end-to-end solutions (side projects, startups, internal tools) * Past founder or community-building experience * Roles with high ownership or multiple hats * Experience in high-output environments such as Cash App, Square, or other top fintechs Additional desired experience * Willingness to work long hours as needed in person in San Francisco * Experience with Docker, Kubernetes, and Terraform * Experience building for scale, ideally at companies where products are self-hosted by customers * Experience with hyperscalers (AWS, GCP, Azure), with a preference for multi-cloud experience * 5+ years of experience as a DevOps or Infrastructure Engineer * Ability to work closely with customers, demonstrating patience and friendliness * High attention to detail * High agency and strong propensity to learn * B.S. in Computer Science or equivalent degree, undergraduate or higher * Experience at Series B+ stage companies or later, or smaller companies with very large-scale products * Experience with Linux systems is a plus * Strong background in computer networking

Job Description Cresilon® is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company’s proprietary hydrogel technology. The company’s plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at . The Preclinical Principal Scientist will serve as a key scientific contributor, subject matter expert (SME) and Project Manager in the execution of Cresilon’s Preclinical Research Operations, including but not limited to in-vivo study design (Safety and Efficacy/Functionality evaluations), Preclinical Research Management, Vendor Management, and Preclinical Regulatory Strategy. This will include the development and execution of strategies for preclinical evidence necessary to competitively position a project’s product for domestic and international regulatory and clinical acceptance. This position as a hybrid role, with work off-site at CRO in NY/NJ area, work from home and on-site at Brooklyn NY. Job Responsibilities: The Preclinical Research Scientist will: • Lead, staff, and manage Cresilon’s Preclinical Research activities., • Provide preclinical scientific input and leadership on the evaluation of physical safety and efficacy for technologies and products at all stages of the product life cycle., • Plan, direct, coordinate and execute activities related to the design, initiation and follow-up of studies to support approval of Class I-III medical devices., • Develop, write, and/or review study protocols and reports. Act as technical mentor for the development of study experimental designs, protocols, and reports of junior associates., • Administrate and manage Cresilon preclinical regulatory strategy and communication., • Work with Contract Research Organizations (CROs) to execute both Biocompatibility / Safety and Efficacy/Functionality research, including negotiating, drafting, and managing research contracts and agreements with pre-clinical trial sites., • Ensure that company operates within the scope of regulatory compliance including Quality System Regulations (ISO 13485), health and safety, environmental protection regulations, and the core values of Cresilon., • Be a Subject Matter Expert (SME) for preclinical research department growth strategy. Actively interact with the internal and external scientific community to maintain state of the art knowledge., • Oversee the development of and modifications to preclinical models to address project needs., • Oversee the design and execution of preclinical functionality and safety in-vivo studies per project timelines., • Surveys the literature to identify and compare competitive product performance and safety risks., • Maintain current knowledge in existing regulations, requirements and standards, including but not limited to global regulatory requirements (ISO, FDA, etc) and compliance requirements (GLP, USDA, AAALAC, departmental SOP's, company policies, etc), • Work cross functionally with Regulatory and Quality to assess project risks, product safety and efficacy on NPD projects, including ensuring external facilities meet Cresilon standards for animal use and generating contracts and CRO audits, if necessary., • Manage budgetary requirements for all research projects to support efficacy and safety programs., • Lead the effort to publish surgical research in peer-reviewed journals., • Regularly interface with management to ensure research operations reflect overall corporate vision/strategy., • DVM, PhD or MD in a relevant discipline is preferred, A Bachelors in a technical or scientific field is required., • Minimum 6+ years’ experience in preclinical medical device research is required, preference given to veterinary surgical experience., • 4+ years of people management experience preferred., • Extensive knowledge of surgery, anatomy, toxicology, and pathology is required., • Experience with planning, directing, and coordinating activities related to studies to support approval of Class I-III medical devices is highly preferred., • Experience in a medical device, pharmaceutical, or related setting with a proven record of success in supporting studies for R&D projects is highly preferred., • Strong knowledge of ISO-10993 Standards, FDA Guidance and Regulations, and Animal Welfare Regulations., • Experience with surgical publication submission strategy is strongly preferred., • Strong communication skills (both written and verbal) is required with the ability to extract key facts from complex information and present concise summaries to management., • Demonstrated experience with large animal in vivo surgical research and CRO vendor management is required., • Previous experience in authoring and reviewing nonclinical regulatory documents as well as interactions with regulatory authorities is strongly preferred., • Excellent problem solving, conflict resolution, and analytical skills is required., • Ability to work effectively both independently and collaboratively in a dynamic team-oriented environment is required., • Prior experience and ability to work well with external CROs and collaborators with professionalism and discretion is required., • Requires strong leadership and organizational skills including attention to detail and multi-tasking skills., • Able to understand and execute to project details but keep overall “big picture” view of projects, priorities, and strategies is required., • Medical Device product development experience, including knowledge of medical device regulations, regulatory/notified body requirements is preferred., • Good Laboratory Practices (GLP) experience preferred and working knowledge of Good Manufacturing Practices (GMP), • Experience in developing and commercializing regulated devices under Design Control (21 CFR 820) requirements, GLP/GMP, and ISO regulations is preferred., • Hands-on research experience with hemostatic devices and/or coagulation chemistry, strongly preferred., • Legal authorization to work in the United States., • This position is located in Brooklyn, NY and may require up to 30% travel (to monitor and execute out-sourced studies) Cresilon is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits • Competitive annual base salary range of $130,000 - $210,000, depending upon job level and qualifications., • Paid Vacation, Sick, & Holidays, • Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage, • Company Paid Life and Short-Term Disability Coverage, • Work/Life Employee Assistance Program, • Monthly MetroCard Reimbursement, • 401(k) & Roth Retirement Savings Plan with company match up to 5%

Job Description Pride Health is hiring a Medical Laboratory Scientist to support our client’s medical facility based in Clifton NJ 07012. This is a 6 -month assignment with the possibility of a contract-to-hire opportunity, and it's a great way to start working with a top-tier healthcare organization! Job Title: Medical Laboratory Scientist Pay Rate: $35-$40 per hour Location: Clifton, NJ 07012 Schedule: Monday to Friday 9am to 530pm. Duration: 6 Months + *The salary is determined by an individual's level of experience, as well as any relevant licenses and certifications they may hold. About the Role: We are seeking a dedicated Clinical Laboratory Scientist (CLS) for a contract opportunity at a clinical laboratory in Clifton, NJ 07012. This role is ideal for professionals who thrive in fast-paced environments and are passionate about delivering high-quality diagnostic testing. You will be responsible for performing moderate to highly complex clinical laboratory tests, ensuring compliance with standard operating procedures, and contributing to accurate patient diagnoses. Key Responsibilities: Perform moderate to high-complexity clinical tests independently Prepare reagents, media, and control solutions; evaluate new reagents as needed Determine specimen acceptability based on testing criteria Calculate and report test results using both manual and automated systems Maintain and troubleshoot laboratory instruments Perform preventative maintenance, calibration, and performance checks Conduct and review quality control procedures; initiate corrective actions as necessary Supervise and train unlicensed staff in laboratory procedures Participate in team meetings, quality improvement efforts, and special projects Maintain a clean, organized, and safe work environment Adhere to all safety, infection control, and environmental protocols Qualifications: Education: Bachelor’s degree in Medical Technology or related life/physical science (REQUIRED) Experience: 0–3 years in a clinical lab setting (rate based on experience) Technical Skills: Proficiency with Microsoft Office (Word, Excel, Outlook) Strong typing and automation skills preferred Ability to work with repetitive tasks and maintain focus Must pass a color vision test for roles requiring color detection (e.g., fluorescence microscopy) Pride Global offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, , legal support, auto ,home insurance, pet insurance, and employee discounts with preferred vendors. Company DescriptionPride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance, and employee discounts.Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance, and employee discounts.

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.About the Role We're looking for a highly analytical and business-savvy Senior Pricing Data Scientist to join our Pricing Strategy team. In this role, you'll design and execute advanced pricing models, lead experimentation efforts, and uncover insights that power monetization and growth. You'll work cross-functionally with Product, Analytics, Revenue, and Engineering to ensure our pricing strategies are data-driven, rigorously tested, and aligned with customer value. This is a high-impact opportunity for someone who thrives at the intersection of data science, economics, and strategy, and who is passionate about using data to influence pricing, product design, and long-term business outcomes. Key ResponsibilitiesModel Development & Optimization • Design, build, and maintain pricing and demand elasticity models using statistical and machine learning methods., • Leverage behavioral, transactional, and marketplace data to optimize price points, discount strategies, and product bundling., • Develop tools to support scenario modeling, revenue forecasting, and price testing simulations.Experimentation & Testing, • Design A/B and multivariate experiments to test pricing changes, discount strategies, and offer configurations., • Analyze test results with statistical rigor, including significance testing, confidence intervals, and causal inference techniques., • Partner with experimentation platform owners to automate and scale pricing experiments across channels and customer segments.Insight Generation & Strategy Support, • Conduct in-depth analyses of customer willingness to pay, price sensitivity, and competitor pricing strategies., • Deliver insights on monetization opportunities, marketplace dynamics, and revenue optimization levers., • Partner with strategy and product teams to develop recommendations based on model outputs and empirical evidence.Cross-functional Collaboration, • Collaborate closely with Product Managers, Engineers, and Revenue teams to embed pricing intelligence into user experiences., • Translate complex technical findings into actionable business recommendations for stakeholders across the org., • Contribute to roadmap planning, strategic decision-making, and post-launch pricing reviews. What You BringRequired Qualifications • 5+ years of experience in data science, pricing analytics, or quantitative strategy roles., • Advanced proficiency in Python or R, SQL, and statistical modeling techniques., • Strong experience with A/B testing frameworks and causal inference methods (e.g., regression, matching, difference-in-differences)., • Solid understanding of pricing theory, elasticity modeling, and optimization.Skills & Attributes, • Excellent problem-solving and critical thinking skills; able to distill ambiguity into structured analyses., • Business-oriented mindset with the ability to prioritize impact and communicate clearly with non-technical audiences., • Self-starter with a passion for experimentation and continuous improvement.Preferred, • Degree in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative discipline (Master's or PhD preferred)., • Experience in a consumer-facing marketplace, e-commerce, or SaaS environment., • Familiarity with tools such as Looker, Amplitude, dbt, or in-house experimentation platforms. Why This Role Matters Your work will help define how we price, scale, and monetize our products. By bringing science and experimentation to our pricing approach, you'll directly impact revenue growth, customer satisfaction, and strategic decision-making. What We can Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We're on the lookout for an accomplished Senior Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem. Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of StubHub's consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities. About the Role: As a Senior Data Scientist, you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA What You'll Do • Build and understand modeling related to one of four possible areas at StubHub: Experimentation, Forecasting, Pricing or Customer Acquisition, • Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences, • Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing, • Find and develop your own roadmaps with business partners and carry out project management and execution of your own work, • Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups, • 5-10 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred., • Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL, • Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn), • Experience in building production level models in cloud environments (e.g., AWS, Azure), • Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have, • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job Description Position Summary: The Economic Data Scientist will be part of the Economy, Strategy & Finance (ESF) Center of The Conference Board, contributing to the development and delivery of flagship economic data products, including global business cycle indicators and labor market analytics tools. The role will work across several ESF teams, particularly Global Indicators and Labor Markets, to support the Center's initiatives to enhance its industry-recognized indices and data products. The ideal Economic Data Scientist candidate brings a strong data science skillset, experience working with large, complex datasets, and applying statistical modeling. The Economic Data Scientist will use R, Python, and other tools to streamline data flows; apply predictive modeling and machine learning techniques to improve analytical capabilities; and help ideate new data products. They will work on ESF's core products, including The Conference Board's Consumer Confidence Index, Leading Economic Indicators, and Help Wanted OnLine its proprietary database of job postings. The role also supports ESF's insights creation for use by ESF's experts to generate written content, webcasts, and briefings for a business executive audience. Accountabilities: Lead projects to support data improvement initiatives across Global Indicators and Labor Markets teams, including the Leading Economic Indices, the Consumer Confidence Index, and the Help Wanted Online program, ensuring data quality, methodological rigor, and timely delivery. • Partner with Senior Economists to design and automate the processes behind ESF's data releases, aiming to improve efficiency and accuracy, while seeking ways to expand capabilities that enhance depth of products and insights., • Apply advanced statistical and machine learning techniques to enhance global indicators, business cycle tools, and forecasting products., • Support data infrastructure modernization, contributing to plans regarding server migration, data architecture design, and implementation., • Conduct data evaluation, including assessments of vendor datasets and external data sources, ensuring consistency, quality, and alignment with evolving product and research needs., • Communicate findings to Senior Economists, presenting a cohesive narrative through data sources, methodology, and visualizations., • Master's degree required in economics, data science, or related quantitative field., • This position is data-intensive and the candidate must have experience working in a data-intensive research environment with data analysis software (e.g., R, Python, SAS, SQL, Excel) to independently organize and manipulate large datasets, draw insights, and create visualizations. Experience with Tableau or other data visualization tools is preferred., • Prior experience with machine learning techniques and natural language processing methods such as sentiment analysis, is also preferred., • Knowledge of the US economy and the labor market is necessary., • Experience writing for non-academic audiences (i.e., business); strong writing, communication, and presentation skills are preferred.