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Job DescriptionTitle: Investment Analytics – UI EngineerYour Role:We are looking for a UI/UX Designer & Developer that excels at turning a business concept into a functional web application. The responsibilities will include crafting/reviewing wire frames and then translating them into front-ends that are highly intuitive and flexible. Huge plus if you're the one who can create the wires! The teammate must be able to work in a very fast-paced and dynamic environment and possess exceptional eye for detail and core understanding of user experience principles and best practices of human interface design. Major Duties/Responsibilities: · Work with the Engineering team and Product Owner to ensure the technical feasibility of UI/UX designs, and to ensure the designs are responsive in nature. · Develop and design UI/UX - starting from the Information Architecture through to front end implementation. · Perform unit testing at the page level. · Reviews specifications and provides time estimates on the development of projects and features · Builds reusable code, templates, module, artifacts, and libraries for future use. · Utilizes SEO best practices, ensure site is responsive and adapts to the different break points and screen sizes. · Meet established deadlines.Your team:UBS Asset Management's growth strategy requires a highly scalable and robust global operating platform for effective and efficient investment research, low organizational complexity, ability to grow top line without linear cost growth, and fully align investment with strategic growth priorities. To achieve this goal, Asset Management is renovating its front-office technology stack to. AM Investment Domain Data Program will create a competitive advantage for the business through unique and adaptive data, analytics & research capabilities. Current AM data architecture is highly fragmented and does not satisfy divisional needs. The objective of AM Investment Domain Data Program is to drive a centralized set of services, with data integrity & governance, high performance, smart analytics & flexibility.Skills/qualifications:Minimum Required Skills and Education: · Bachelors (IT/Computer Science Preferred); Master’s Degree preferred (IT/Computer Science Preferred) or equivalent experience · Proficient understanding of web markup language, including HTML5, CSS3, and Web scripting. · Proficient understanding of client-side scripting and JavaScript frameworks, React/Redux (preferred), Angular, jQuery, Bootstap etc. · Strong experience in developing analytics dashboards/charts using D3, with interactive, real time, drill-downs user interactions. · Experience in dealing with various data formats like JSON, XML, binary etc. · Experience with code repository systems, extensive knowledge of responsive design methodologies and ability to integrate with APIs (SVN, Git). · Proficient understanding of cross-browser compatibility issues and design. · Experience in refactoring front-end code to support changes in design requirements. · Knowledge of image authoring tools, to be able to crop, resize, or perform small adjustments on an image. · Excellent ability to manage timelines and be self-directed. · Rapid Prototyping skills and Responsive Design Methodologies including working experience with prototype software · Experience in developing detailed design documentation and shows processing logic for simple programs. · Must have a passion for front end development and be a self-starter. · Ability to work well in a team environment and enjoy collaborating with other team members to provide the best solution. Optional Skills:· Experience backend development using Java, Scala, Python, Node.js · Experience with Cloud architecture & service like AWS, Azure · Strong UX & graphic designer skills

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description About Synchron Synchron’s vision is to build non-surgical brain–computer interfaces at global scale that protect the fundamental human rights of freedom of expression and autonomy. Our first mission is to develop motor decoders that restore the ability of 15 million people with paralysis to interact with the digital world. Our second mission is to develop whole-brain cognitive decoders that enable hundreds of millions of people with cognitive decline to preserve and expand their agency as cognition changes over time. In pursuing these goals, we aim not only to help humans flourish, but also to drive fundamental discoveries in human intelligence. Our team operates at the intersection of healthcare and technology, translating breakthrough research into real-world, safety-critical systems. DevOps Engineer — Platform & Infrastructure Location: Brooklyn, New York Work Arrangement: 3–4 days onsite Type: Full-time About the Role Synchron is seeking a DevOps Engineer to build and maintain the infrastructure that supports our brain-computer interface platform. In this role, you will help design and operate the systems used to develop, test, and deploy software across cloud, desktop, and device environments. Our platform supports live patient sessions, neuroscience research workflows, and internal engineering tools, making reliability and operational visibility critical. You will work closely with software, systems, data science, hardware, and clinical teams to build scalable infrastructure, improve deployment workflows, and ensure that software and firmware can be safely delivered and operated in production environments. This is an opportunity to help shape the infrastructure behind technology that directly impacts the lives of people living with neurological conditions. Key ResponsibilitiesCI/CD & Build Infrastructure • Design and maintain CI/CD pipelines supporting software and firmware development., • Improve build and release processes for desktop, cloud, and device-related software., • Maintain artifact storage, package management, and dependency tracking systems.Infrastructure & Platform Engineering, • Manage and operate cloud infrastructure supporting Synchron’s platform., • Improve system reliability, scalability, and deployment workflows., • Develop infrastructure automation and operational tooling.Observability & Reliability, • Implement and maintain logging, monitoring, and performance tracking systems., • Improve operational visibility across services and infrastructure., • Support incident response and root-cause analysis.Testing & Development Infrastructure, • Build and maintain testing environments supporting cloud services, IoT devices, and mobile/desktop applications., • Support development workflows for both software and firmware systems.Data Science & Research Infrastructure, • Work closely with the data science team to support model deployment [JW1] [BJ2] [DL3] and analysis pipelines., • Help maintain infrastructure used for experimentation, training, and model deployment.Cross-Functional Collaboration, • Collaborate with Systems, Software, Hardware, Data Science, Quality, and Regulatory teams., • Support integration of third-party systems and services., • Contribute to platform architecture and infrastructure decisions as the system evolves.Required Qualifications, • 4-6+ years of experience working with CI/CD systems, • 4-6+ years of experience managing services in production cloud infrastructure, • 2-3+ years of experience working with Linux and/or macOS environments, • 2-3+ years of experience working with Python, • Experience using Git-based development workflows, • Bachelor’s degree in Computer Science, Engineering, or related STEM fieldPreferred Qualifications, • Experience with GitLab CI/CD, • Experience with artifact management systems (e.g., JFrog), • Experience with static analysis tools (e.g., SonarQube Cloud), • Experience with Infrastructure-as-Code tools (e.g., AWS CDK), • Experience with containerization technologies (Docker), • Experience supporting IoT firmware development (e.g., Zephyr, Yocto), • Experience supporting mobile or desktop deployment workflows (iOS/macOS) In addition to base salary, this role may be eligible for discretionary bonuses and/or equity grants, subject to board approval and company policy. Visa Sponsorship We are unable to offer visa sponsorship for this position at this time. Benefits (for W-2, full-time, exempt employees in the US only) ***Intern positions not eligible • Subsidized medical and dental insurance coverage for you and your dependent(s), • Life insurance, short-term disability, long-term disability, • 401k, • Discretionary unlimited PTO, • Flexible Spending Account for you and your dependent(s), with eligible plan elections, • Commuter benefits for NY employees Equal Employment Opportunity (EEO) Synchron is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants and provide equal employment opportunities without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable law. If you need a reasonable accommodation during the application or interview process, please let us know. Join Us At Synchron, you will be part of a transformative mission and you will work alongside driven people who believe in the power of collaboration and innovation to make a lasting impact. If you are excited to stretch your skills and contribute to something meaningful, apply and now and build the future with us.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Matching and Outcomes team builds products to measure and improve clinical outcomes, including provider recommendation systems for clients and clinical decision support tools, enabling durable and effective treatment. You'll create predictive models and workflows to match patients with the best-fit therapists and peers, and enable clinicians to tailor care to each client's individual needs. The systems you build will help clinicians condense and synthesize knowledge across our clients and providers into actionable guidance at every moment. If you care about using data-driven insights to improve outcomes, this team is for you. Responsibilities • Design, train, and evaluate machine learning models and AI systems that drive meaningful business impact, • Identify opportunities to introduce or improve data-driven algorithms and automated solutions in partnership with clinical, design, data science, and product teams, • Pioneer new approaches to measure and validate outcomes impact through advanced experimentation and causal inference techniques, • Utilize ML infrastructure to serve model inferences in real time using live data streams, • Write production code within a backend Python monolith to invoke ML predictions., • A bachelor's degree in a technical field, plus 4+ years of professional experience developing and delivering production software, including machine learning models; OR, • A master's or doctorate degree in a technical field, plus 2+ years of professional experience developing and delivering production software, including machine learning models., • Expertise in Python for ML (pandas, sklearn, etc.) and backend server development (FastAPI), • Strong SQL skills and experience navigating analytical and transactional databases to assess and curate high-quality datasets, • Experience developing agentic AI workflows is a plus, • Excellent at managing ambiguity—able to break down big, messy problems into smaller parts with tractable solutions and clear iterations, • Growth mindset and sense of humor; you welcome feedback, adapt quickly in a fast-paced environment, and foster a culture of learning and fun, • This role requires 4 days per week in our NYC office (Flatiron District). The team is entirely based out of NYC.Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $170,000-$220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are As a Revenue Management Analyst, you will be responsible for maximizing revenues for Metropolis technology-enabled commercial assets. The candidate will be integral in helping shape the direction, analysis, and processes of the Revenue Management department. We are looking for team members who are analytical, creative, and innovative, but most importantly, can use data to drive decisions. The successful candidate will be expected to develop an in-depth understanding of the marketplace and develop yield and pricing strategies to increase revenues and drive a competitive advantage for Metropolis. What you'll do • Maximize revenues by developing and implementing strategies through quantitative analysis of historical parking demand, competitive environment, and consumer buying behavior, • Design and deliver high-impact client presentations that translate complex data sets into actionable insights and clear strategic narratives for external partners, • Develop a working relationship with SMEs in the field to understand the nuances of each market, • Determine optimal pricing and create new pricing products to capitalize on changes in consumer buying habits, • Build a knowledge of the digital ecosystem (distribution channels) and understand the impact of pricing actions within the ecosystem on demand, • Create and capture data-driven revenue opportunities through advanced analytics, • Proactively evaluate the effectiveness of the implemented strategies and regularly report performance trends to clients and internal leadershipWhat we're looking for, • BS/BA or advanced degree with experience in a quantitative discipline (economics, finance, accounting, statistics, data science, etc.), • 2+ years of related experience at an airline, hotel, rail, shipping, cruise, or rental car company, • Intermediate to Advanced proficiency in Google Sheets and/or Microsoft Excel, • Ability to query data (i.e. SQL) and deliver strong business insights, • Demonstrated analytical skills, including the ability to assemble information, extract pertinent facts, draw logical conclusions, and present recommendations, • Exceptional communication skills, with a proven ability to synthesize technical findings into compelling presentations for non-technical audiences, • Leverage understanding of business processes to identify and implement solutions that will result in significant bottom-line contributions, • Interest in optimization problem-solving, economic game theory, and consumer buying behavior, • Good interpersonal skills and ability to interact with the working team and external stakeholders When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $70,000.00 USD to $80,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-DL1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionBeghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries. As a subject matter expert, you will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success. We'll trust you to: • Lead cross-functional project teams in the design and development of high-quality deliverables for clients., • Implements innovative data engineering-based solutions independently within project scope; applies data engineering knowledge to projects and shares with team., • Engages in implementation and architecture discussions with senior team members for the purpose of contributing to design ideas and best practices., • Provide strategic advice on project direction, resource management, and timelines, while assuming responsibility for key data analytics tasks to support internal teams and clients., • Collaborate with leadership to define project scope, approach, and development strategies., • Analyze data, synthesize findings, and develop actionable insights, and communicate results to both internal and external teams., • Independently manage projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight., • Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting., • Coordinate with global and diverse teams to ensure seamless project execution., • Engage in business development activities and contribute to internal firm initiatives to drive organizational growth., • Promote and uphold strong coding standards by developing efficient coding practices, conducting regular code reviews, and guiding the team toward high‑quality, maintainable engineering solutions., • Bachelor's degree in Computer Science, Math, Engineering, or other relevant field of study., • Experience with relational database technologies, such as PostgreSQL, Oracle, MySQL, Redshift, or Snowflake. 1, • Hands-on experience using Python, including pandas and/or PySpark., • Experience with Git-based workflows and CI/CD practices., • Proficiency using Microsoft Office products, including Excel, PowerPoint, and Word., • Advanced problem-solving skills., • Self-motivated with excellent attention to detail., • Excellent verbal and written communication skills., • Strong organizational and time management skills., • Effective leadership and project management capabilities., • Ability to work effectively with others and adapt quickly., • Experience building systems in event-driven or streaming architectures, preferred. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Us: OptionMetrics, headquartered in New York, NY. is a dynamic and innovative technology company, a trusted provider of financial information and research derived from the option markets. We are at the forefront of developing solutions that empower businesses. Our commitment to excellence, coupled with a collaborative, forward-thinking culture, has made us the preferred choice for top-tier talent. Our data and analytics models are utilized by over 350 investment banks, hedge funds, asset management firms, and academic institutions globally, solidifying our position as a leader in the industry. This position is based out of our NYC office and follows a flexible work arrangement with an expectation of working onsite three days per week. About the Role: OptionMetrics is seeking a Data Quality Analyst to join our Data Quality & Analytics team. In this role, you will be responsible for the integrity and accuracy of our option price data, volatility surfaces, and quantitative models across our many regional products. What You'll Do: · Develop and implement comprehensive validation frameworks for options pricing models, volatility surface construction algorithms, and other implied calculations.· Document and evaluate new methodologies and analytics to ensure consistency and accuracy.· Collaborate with Quants, Data Analysts, and Business Analysts to improve model integrity What We're Looking For: · Proficiency in Python for data analysis, statistical modeling, and automation.· Experience with large-scale database systems (SQL Server, PostgreSQL) and handlingdatasets with millions of records.· Proficiency in statistical methods for outlier detection, time series analysis, andmultivariate techniques.· Experience in advanced statistical modeling, as well as proficiency integrating AI intoworkflows or using AI/LLMs to improve systems.· A degree in Finance, Computer Science, Mathematics, Data Science, Statistics, or arelated field.· Familiarity with financial markets, derivatives, or risk modeling is a plus.OptionMetrics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, OptionMetrics will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. If you need a reasonable accommodation for any part of the employment process, please contact us by email and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description OUR MISSION We exist to create a more connected, compassionate, and confident experience for people with cancer and those who care for them. We make it easier to get answers, access high-quality care quickly, and feel supported throughout treatment and beyond. Today, Thyme Care is a market-leading value-based oncology care enabler, partnering with national and regional health plans, providers, and employers to deliver better outcomes and lower costs for thousands of people across the country. Our model combines high-touch human support with powerful technology and AI to bring together everyone involved in a person's cancer journey: caregivers, oncologists, health plans, and employers. As a tech-native organization, we believe technology should strengthen the human connection at the center of care. Through data science, automation, and AI, we simplify complexity, improve collaboration, and help care teams focus on what matters most: supporting people through cancer. Looking ahead, our vision is bold: to become a household name in cancer care, where every person diagnosed asks for Thyme Care by name. If you're inspired to make cancer care more human and to help reimagine what's possible, we'd love to meet you. Together, we can build a future where every person with cancer feels truly cared for, in every moment that matters. WHAT YOU'LL DO As a Data Integration Engineer on our Data Ingestion & Care Enablement (DICE) team, you'll be part of the horizontal layer that keeps partner and vendor data flowing reliably into Thyme Care. In this position, you will collaborate closely with our Product Manager and other Data teammates focused on data ingestion and analytics engineering. You'll work across many deals and data sources, supporting Data Scientist deal owners by making ingestion consistent, debugging failures, and raising the reliability bar through better tests, monitoring, and data contracts. In the course of your work you should also expect to: • Gain a deep understanding of our data platform and contribute to improving our data models and pipelines using SQL, dbt, and python (generally data-focused packages, e.g., pandas, polars), • Support ingestion of a wide range of healthcare-related sources (claims, eligibility, prior auth, ADT, etc.) by, • Configuring net-new ingestions (parsing file specs, validating assumptions, communicating inconsistencies), • Debugging issues in ongoing ones, • Helping standardize our processes and pipelines, • Collaborate with data scientist deal owners and internal stakeholders to turn messy, ambiguous requirements into concrete mapping/validation logic and durable data contracts, • Use Dagster and GitHub Actions to orchestrate and automate the early stages of our data pipelines, improving run reliability and reducing manual intervention, • Work hands-on with raw data using Jupyter Notebooks in Databricks to investigate data issues, validate assumptions, and unblock processing, • Design and support incremental data loads (append/merge/upsert patterns) and safe reprocessing (idempotent runs, late-arriving data, backfills), • Learn to use Datadog and PagerDuty to monitor pipelines, triage incidents during business hours, communicate impact clearly, and drive root-cause fixes to prevent recurrences, • Strong SQL skills, • Familiarity with dbt (and an interest in ramping up your expertise), including working in larger/complex projects, • Working knowledge of Python for data investigation in notebooks, • Experience operating data pipelines: debugging failures, tracing issues across systems, and communicating clearly about root cause and mitigation, • Experience with testing and data quality: writing and maintaining tests and using failures/alerts to drive durable fixes, • Responsiveness and the ability to stay calm and organized when triaging failing ingestion runs or pipelines, • Willingness to learn new domains and tools quickly (new partner file formats, evolving standards, Databricks), and apply feedback without ego, • The ability to engage technical and non-technical stakeholders to explain what's happening in our pipelines and identify opportunities to improve transparency and alerting, • Act with our members in mind. Thyme Care's mission, and in particular our member experience, matters deeply to you., • Move with purpose. You're biased to action. You know how to identify and prioritize your initiative's needs, and do what it takes to ensure that urgent and important needs are acted on immediately., • Seek diverse perspectives. You are humble and actively seek feedback from others, eager to learn and share knowledge., • Reliability mindset. You treat recurring failures as solvable system problems and systematically reduce them with testing and automation., • Practical judgment. You know when to ship a safe fix now vs. invest in a sturdier improvement, and you document the why., • Clear collaboration. You work smoothly with DS, PM, and Platform counterparts, understanding competing priorities and turning ambiguity into concrete next steps. At Thyme Care, our core values guide us in everything we do: Act with our members in mind, Move with purpose, and Seek diverse perspectives. They anchor our business decisions, including how we grow, the products we make, and the paths we choose—or don't choose. Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on several factors, including qualifications, experience level, skillset, and balancing internal equity relative to other Thyme Care employees. The base salary for this role is $139,500-$155,000. The salary range could be lower or higher than this if the role is hired at another level. We recognize a history of inequality in healthcare. We're here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal-opportunity employer. Be cautious of recruitment fraud, and always confirm that communications are coming from an official Thyme Care email.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest.US is seeking an experienced Data & Analytics Senior Consultant to join our growing data practice. In this role, you will participate in projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data consultant who can successfully work with client projects, teams, and stakeholders.What You'll Do • Participate on project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment, • Perform hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks, • Be the expert in various client meetings such as stakeholder interviews & workshops, • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication, • Proactively identify risks, issues and provide mitigation strategies, • Build and maintain strong client relationships, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat You'll Bring, • Eagerness to participate in a best-in-class data practice, • 3+ years Project Management, Process, Implementation, and SDLC experience working closely with data professionals in an Agile environment, • Experience with client-facing activities such as requirements gathering, meeting facilitation & presentation creation, and deliverable review/approval sessions, • 5+ years in a consulting role or a data-focused role and strong experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar, • Experience designing and building relational database and/or data warehouses, • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, PowerBI, Looker, etc.Preferred Additional Experience, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC), • Cloud computing experience, whether with AWS or other vendors, • Ability to automate data-related tasks using scripts and programming languages, • Ability to profile, explore, and analyze data to identify common data patterns, • Ability to present data solutions to business stakeholders with clear business acumen, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytics fields

Job DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role We're hiring for an experienced ML-focused Data Scientist to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. You'll work alongside other data scientist to design, validate, and productionize statistical and ML systems (pLTV, churn/survival, uplift/incrementality, lookalikes, clustering/embeddings, NBA/ranking) that directly drive growth. This is a hands-on role for someone with strong mathematical/statistical foundations, broad modeling experience, and pragmatic MLOps chops who can lead experiments and partner closely with Marketing, Engineering, CRM, and Product. What you'll do… • Lifecycle modeling: Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies., • Acquisition & lookalikes: Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs., • Next-Best-Action & personalization: Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders., • Unsupervised & representation learning: Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features., • Production & MLOps: Own the full model lifecycle - training pipelines, CI/CD, model registries, containerized deployment, monitoring, retraining and drift detection; partner with engineers to operationalize models into CRM, marketplace and paid channels., • Model governance & reproducibility: Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings., • Cross-functional influence: Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.Required qualifications, • 5-8+ years in data science, applied ML or statistics, with a track record of shipping production models., • Strong math & statistics: probability, inference, regression, survival analysis/time-to-event, causal reasoning, and familiarity with statistical modeling tradeoffs., • End-to-end ML experience: experience building, validating and deploying classification/regression/ensemble/deep models; comfort with embeddings and representation learning., • MLOps & production skills: pragmatic experience with model CI/CD, model registries (MLFlow or similar), containerization (Docker), orchestration (Airflow), and runtime infra (K8s / ECS)., • Software engineering & tooling: Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow optional), strong code hygiene, testing and reproducibility., • Product & stakeholder collaboration: excellent communication, ability to embed with Growth/CRM/Marketing and translate models into product decisions., • Education: BS in a quantitative field required; MS/PhD in statistics, math, CS, economics or similar preferred.Nice-to-haves, • Experience in subscription marketplaces, food-tech, or consumer marketplaces., • Familiarity with feature stores, Snowflake/BigQuery, and production monitoring tools., • Experience with causal libraries (EconML), uplift frameworks, or survival modeling packages., • Prior work on small-scale recommender systems, embeddings, or NLP personalization. Learn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$160,000—$185,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.

Job Description Engagement Type: Independent Contractor Work Mode: Fully Remote Hours: 3040 hours/week or Full-Time (Flexible) About the Role We are partnering with a leading AI research lab to hire a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will collaborate closely with researchers and engineers to design rigorous experiments, build advanced statistical and machine learning models, and develop data-driven frameworks that support product and research decisions. Key Responsibilities * Analyze large, complex datasets to uncover patterns and generate actionable insights * Build predictive models and ML pipelines across: * Tabular data * Time-series data * NLP * Multimodal datasets * Design and implement validation strategies, experimental frameworks, and analytical methodologies * Develop automated data workflows, feature pipelines, and reproducible research environments * Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations * Translate analytical results into clear recommendations for engineering, product, and leadership teams * Collaborate with ML engineers to productionize models and ensure reliable data workflows at scale * Present findings via dashboards, structured reports, and documentation Required Qualifications * Kaggle Competitions Grandmaster or comparable achievement (top-tier rankings, multiple medals, or exceptional competition performance) * 35+ years of experience in data science or applied analytics * Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) * Experience building ML models end-to-end (feature engineering, training, evaluation, deployment) * Strong understanding of statistical methods, experiment design, and causal/quasi-experimental analysis * Familiarity with modern data stacks (SQL, distributed datasets, dashboards, experiment tracking tools) * Excellent communication skills and ability to present analytical insights clearly Nice to Have * Contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) * Experience in AI labs, fintech, product analytics, or ML-driven organizations * Knowledge of LLMs, embeddings, and modern ML techniques for text, image, and multimodal data * Experience with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) * Familiarity with Bayesian methods or probabilistic programming frameworks Why Join * Work on cutting-edge AI research workflows * Collaborate with world-class data scientists and ML engineers * Solve high-impact, real-world data science challenges * Experiment with advanced modeling strategies and competition-grade validation techniques * Flexible engagement options ideal for Kaggle-level problem solvers

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Staff Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance. Your work will directly impact our member recommendations and provider-facing data products. You will also be a technical leader, raising the bar for how we conduct analysis, build models, and deploy data science code by improving standards and mentoring team members. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Partner with product managers and clinical experts to lead projects shaping how we define and measure provider cost and quality, • Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors, • Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates, • Serve as a subject matter expert for statistical modeling, improving methods for evaluating current models and future changes, • Partner with data engineers to design scalable data pipelines that ingest, clean, and enrich healthcare provider data, • Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions, • Define data science standards and best practices, and mentor team members to raise the technical capabilities of the data science teamThe ideal candidate has:, • 8+ 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, • Strong Python and SQL skills, • Expertise in statistical modeling techniques and a track record of building impactful predictive models, • 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, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use: Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $263,000 - $300,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job Description Building a Brand starts with a Story FIRST is a leading global brand experience agency providing Content, Creative, Digital Technology, Management & Delivery, and Data & Insights services. For 30 years, we have utilized three flexible delivery models: Embedded teams, Corporate Campus operations, and a Full-Service Agency. Managing over 37,000 events & projects annually across 110 countries, FIRST serves 130+ brands, specializing in Fortune 500 companies within the Financial Services, Technology, Healthcare, Media, and Professional Services sectors. Consistently recognized for excellence, recent honors include 2026 Chief Marketer Agency of the Year, the Ad Net Zero Award for sustainability, and more. Learn more at What You Would Get To Do The Analytics Lead will play a pivotal role at FIRST bolstering the company's AI and data capabilities. Reporting to the Director of Data and Analytics, you will be responsible for translating complex data into actionable intelligence that drives strategic decision-making and delivers measurable value to clients. This is a key role in FIRST's role as an intelligence-driven partner in the brand experiences sector. The role offers an exceptional opportunity to help drive strategic transformation and work with sophisticated, high-profile clients. Your Contributions • Lead the development and implementation of client intelligence solutions, predictive models and insight generation capabilities., • Translate complex data sets into commercial insights that power decision-making for both internal stakeholders and clients., • Design and implement predictive models that enhance event performance, client satisfaction and revenue forecasting., • Develop approaches that transform event performance data into actionable insights., • Apply statistical modelling, machine learning techniques and data visualization to solve complex business challenges., • Lead the design and execution of experiment design and A/B testing to optimize performance., • Build and implement sophisticated analytical models that deliver against FIRST's strategic objectives of productivity improvement and revenue generation., • Create compelling data narratives that communicate insights effectively to both technical and non-technical audiences., • Contribute to the transformation of FIRST's operating model through AI and data capabilities., • Work with cross-functional teams to establish metrics, KPIs and robust measurement approaches., • Support the development of AI-powered products and services that create differentiated client value. Please be aware that we know experience does not always look like we describe it. If you believe you would be an excellent fit for this role, please apply - we would love to see how you could fit at FIRST. • Position requires 5-8 years of experience, • Advanced degree in Statistics, Data Science, Mathematics, Computer Science or related quantitative field., • Expert proficiency in Python and/or R for statistical modelling and data analysis., • Strong understanding of business processes and how to apply analytics to improve them., • Experience with machine learning techniques and their practical applications in business settings., • Proven ability to build statistical models, perform advanced analysis, and generate meaningful insights., • Exceptional business storytelling ability with a focus on translating complex data findings into clear, actionable recommendations., • Demonstrated skill in consulting with business units to define metrics and KPIs., • Strategic mindset with the ability to connect analytics work to business outcomes and revenue generation., • Experience working with cross-functional teams and influencing decisions through data-driven insights., • 5+ years of experience in analytics, business intelligence or data science roles., • Experience in consulting, marketing, or professional services environments is beneficial., • Track record of successfully implementing analytics solutions that drive measurable business impact., • Strategic analytical thinker with exceptional problem-solving abilities., • Strong business storytelling skills and ability to communicate complex concepts clearly., • Results-oriented with focus on delivering measurable business impact., • Collaborative team player who builds strong relationships across functions., • Intellectually curious with passion for exploring new analytical approaches., • Rigorous attention to detail while maintaining a big picture perspective., • Client-centric mindset that aligns analytics work with customer value., • Adaptable to changing requirements and business priorities., • Medical, Dental & Vision which includes the option of a high deductible health plan (HDHP) with a health savings account (HSA), • 401 (k), • Five Flexible Spending Accounts Options, • Generous Paid Time Off Allowance, • Employee Assistance Program (EAP), • Life, Disability & Pet Coverages, • Wellness Stipend, • Complimentary access to Headspace, Teladoc, Maven, Rocket Lawyer, Mobilo & more, • Aura Identity Theft Protection, • Discretionary Bonus Structure #LI-hybrid #FG1 FIRST is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. FIRST is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements and individual qualifications without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We stand firm: FIRST will not tolerate discrimination or harassment based on any of these characteristics. If any candidate feels that they are unable to meet the requirements of the role, please get in touch to discuss adjustments or other suitable roles.

Job Description Hi, we're Oscar. We're hiring a Senior Manager, Individual and Family Plan Insurance Solutions to join our Insurance Product Development team. Oscar is the first health insurance company built around a full stack technology platform and a relentless 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: The Senior Manager, Individual and Family Plan Insurance Solutions is a hands-on product owner accountable for end-to-end plan outcomes for assigned IFP markets. This role owns plan strategy, detailed design, filing execution, launch readiness, and post-launch performance, and is directly responsible for plan quality and stability once live. This individual is also directly accountable for health solution execution from product development to filing, launch, and post-launch performance, while also being directly accountable for plan readiness, quality, and issue remediation. You will report into the Vice President, Insurance Product Innovation and Development Work Location: This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Colorado, Florida, Georgia, Illinois, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Texas, or Virginia. Note, this list of states is subject to change. #LI-Remote Pay Transparency: The base pay for this role is: $149,040 - $195,615 per year in New Jersey, New York, and California. The base pay for all other locations is: $134,136 - $176,053 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses. Responsibilities: Strategy & Plan Design * Lead end-to-end plan design, including benefits, cost-sharing, and networks while balancing member experience with affordability and operational constraints * Translate market strategy, regulatory requirements, and growth objectives into detail executable designs * Proactively identify design opportunities or risks based on market dynamics and performance insights * Use quantitative and qualitative data to drive design decisions and proactively identify market risks or opportunities. Execution & Filing Ownership * Serve as the primary product owner for assigned market filings, coordinating cross-functionality with Actuarial, Regulatory, Compliance, Operations and Technology teams to ensure on-time accurate delivery * Ensure all designs are accurately reflected in filings, systems, and member-facing materials Quality, Approvals & Accountability * Lead plan-level Quality Assurance (QA) and readiness reviews; identify and remediate design or execution defects * Escalate material risks with clear recommendations and supporting analysis Post-Launch Performance * Partner with Market Directors and Actuarial to monitor plan performance post-launch * Identify underperformance, conduct root-cause analysis, and drive corrective actions * Feed learnings forward into future plan cycles and portfolio discussions Requirements: * 6+ years of product management experience, preferably in IFP and Employer-Subsidized products * 5+ years of management experience in cross-functional environment (e.g., finance, consulting, health insurance) * 4+ years of experience owning plan design and regulatory filings * 3+ years of experience and strong proficiency with Excel and SQL required to manipulate and analyze data BS/BA degree in a quantitative or healthcare field such as Business, Healthcare, Economics, Mathematics, Statistics, Actuarial Science and Finance or equivalent years of experience. * 6+ years in a fast-paced, cross-functional environment such as consulting, finance, economics, or business development * Prior experience in Health Insurance (Individual and/or Small Employer) and/or Healthcare industry * Experience with R, and/or Python * Demonstrated ability to navigate ambiguity to drive to outcomes, work with large datasets and distill analyses into actionable business insights with a structured and systematic thought process This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. 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. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. 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. 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 Privacy Policy.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated Plasma-Materials Scientist to join our team, focusing on plasma-facing material development. The ideal candidate will possess a strong background in the research and development of plasma-surface interactions, with particular emphasis on material survivability evaluation, plasma and heat-induced erosion processes, and plasma contamination effects in fusion-relevant environments. You will work with high autonomy and ownership, and contribute to cutting-edge research and development in Thea Energy’s stellarator systems.Key responsibilities: • Contribute to the construction and commissioning of a plasma device and diagnostics for exposing and evaluating plasma-facing material candidates., • Collaborate with plasma-material exposure facilities and use materials characterization tools for surface evaluation., • Provide technical guidance across team members in plasma device operation, plasma-material performance assessment and experimental planning., • Participate in stellarator plasma-facing component operational campaign planning., • Utilize computational and simulation tools to perform plasma-surface interaction simulations, thermal analysis, and contribute to multi-physics modeling efforts.Required Experience & Skillsets:, • Master's degree in materials science, engineering, applied plasma physics, chemistry, or a related field., • Knowledge of basic plasma physics., • Experience with vacuum systems., • Experience with experimental plasma setups and diagnostics such as industrial plasma sources, RF plasmas, spectroscopic diagnostics, laser-based diagnostics, and electrostatic probes., • Experience with surface analysis techniques such as electron microscopy, atomic-scale microscopy, and elemental composition analysis methods (e.g. XPS, EDX, Raman)., • Experience with one or more of the following: Python, MATLAB, FEA tools, COMSOL, C++, Fortran., • Ability to work independently and manage projects., • Strong attention to detail, • A passion for advancing fusion energy to commercialization., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Ideal Experience & Skillsets:, • PhD in applied plasma physics or a related field., • Experience with fusion boundary plasmas and/or low-temperature plasmas., • Experience with linear plasma devices., • Experience in tokamak or stellarator divertor research., • Experience with ERO2.0, TRIDYN, SDTrimSP/TRIM, WALLDYN, or RustBCA.Company Benefits:, • Salary range $100,000-$160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description Capstone Integrated Solutions is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capstone is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capstone Integrated Solutions is looking for a highly motivated and talented Data Scientist. In this role you will support hands-on analysis, data preparation, validation, and feature exploration to enable accurate predictive modeling. This is an execution-focused role ideal for someone who enjoys working closely with large datasets, uncovering patterns, and collaborating with senior data science leadership. Responsibilities: • Support data validation across historical and newly ingested datasets., • Analyze large datasets to identify trends, patterns, and feature relevance., • Assist with data preparation, cleansing, and transformation for modeling., • Collaborate with the Senior Data Scientist on feature understanding and engineering., • Evaluate data across multiple data zones to ensure consistency and accuracy., • Help refine predictive outputs to improve demand and pricing forecasts., • Professional experience as a Data Scientist or Applied Data Analyst., • Strong background in data preparation, validation, and exploratory data analysis (EDA)., • Experience working with historical time-series or pricing/demand datasets., • Proficiency with Python and common data science libraries (Pandas, NumPy, scikit-learn, etc.)., • Ability to collaborate effectively with senior technical leads and stakeholders., • Experience with AWS data services (S3, Glue, Athena, Redshift, SageMaker)., • Exposure to pricing, demand forecasting, or supply chain analytics., • Familiarity with structured PoC or prototype-driven projects., • Strong documentation and communication skills. "Our Culture": At Capstone, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: • "A Customer Obsessed, Delivery Focused, Culture", • We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise, • We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME, • "A Culture of Learning and Sharing", • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially., • "A Culture of Growth and Scalability", • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time., • "All Work is Strategic", • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters Job Type: Full-time Short-term contract (month-or two) Benefits: • Remote work Capstone Integrated Solutions is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. No Agencies Please!

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: We are hiring a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning systems that power our core products in User Growth and Monetization. You will work on building deeply personalized user experiences that drive business growth and meet individual needs and preferences: by targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction. The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a user’s lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge.Responsibilities: • Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features, • Define and own the technical roadmap for ML within your product area and align with company-wide priorities, • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process, • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally, • Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data, • Communicate effectively to audiences of various technical and non-technical backgroundsWhat We're Looking For:, • Strong programming skills: Proficiency in Python and ML libraries such as PyTorch, • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus., • System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing)., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus., • Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role, • Previous experience in User Growth or Monetization, • 3+ years of experience designing and developing end-to-end, production grade ML systems, • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, • 3+ years of experience leading projects with at least 1 other team member through completion. #Hinge We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionTitle: Platform Database Engineer, Digital InfrastructureLocation: New York CityPosition: Full Time EmploymentJob Description:The Platform Database Engineer is responsible for administration, development and scaling Outfront Media Digital Operations database systems. The engineer will support technical initiatives to implement data systems for digital content delivery and digital boards’ uptime analyses. The engineer will work on ensuring timely data collection and the collected data is within required quality standards The engineer will also support all database related operations like backup, upgrade, performance tuning, recovery and failover. The engineer will be on call for 24x7 production issues..Core Responsibilities: • Design, administer, tune, and monitor production databases ensuring 24x7 operations and good performance;, • Collect, analyze and share data to help operations and business teams drive improvement in key business metrics;, • Utilize database and web application technologies to evaluate and develop innovative business intelligence tools and automated reports;, • Design, develop and test BI solutions such as databases, data warehouse, queries, views, reports, and dashboards;, • Assist in data conversions, imports and exports of data within and between internal and external systems;, • Manage and support development and staging database environments;, • Implement and improve backup/recovery processes, disaster recovery and failover processes;, • Troubleshoot BI tools, database systems, and overall performance;, • Interact with Business, Program Management, and Engineering on meeting ongoing reporting requirements;, • Document new and existing models, solutions and implementations;, • Strictly adhere to process, instructions, policies, and standardsRequirements:, • BS in Computer Science or information systems related field or equivalent experience, • 5+ years of operational PostgreSQL and MySQL database skills in a Linux production environment, • 3+ years of experience supporting fast growing mission critical production systems, • Knowledge of business intelligence tools and systems, • Data analysis and data mining skills, • Good Linux and shell scripting skills (PHP, Python, LAMP), • Self-starter and independent worker, • Good verbal and written communications skills, • Good documentation skills, • Experience with enterprise data warehouses a plus, • MySQL/PostgreSQL Management Certifications highly desired, • Ability to create clear step by step knowledge base documents for NOC and field personnel to follow and resolve known issues, • Participate in 24x7 on call rotations

Job Description Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for data scientists, physicists, engineers, economists and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets. Our Quantitative Researchers are embedded within the following teams: Alpha Researcher: As a member of the Alpha Researcher team, you will be involved in developing market-neutral signals, parsing and analyzing large data sets and collaborating with the Data and Strategy Research team to build a diverse set of predictive models. Data Scientist: As a member of the Data Science team, you will be involved in parsing and analyzing large data sets, working on discovering and obtaining new sources of data and collaborating with the Alpha and Strategy team to build predictive machine learning models. Strategy Researcher: As a member of the Strategy team, you will be developing systematic strategies based on a variety of machine learning and statistical methods. The data you train and validate comes from actual market trading When you apply for a Quantitative Researcher role at Trexquant, we will first assess you on the core skills required for the Quantitative Researcher. During the interview process, we will be able to get to know you better, learn about your strengths and match you to the best research team that closely aligns with your skills and preference. Your Responsibilities: • Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals, • Parse data sets to be used for future alpha(strategy) development, • Investigate and implement state-of-the-art academic research in the field of quantitative finance, • BS/MS/PhD degree in any stem field, • Passion for machine learning, • Fluent with programming languages like Python, • Strong problem-solving skills, • Ability to work effectively both as an individual and a team player, • Knowledge of financial accounting is a plus, • Competitive salary plus bonus based on individual and company performance, • Collaborative, casual, and friendly work environment, • PPO Health, dental and vision insurance premiums fully covered for you and your dependents, • Pre-tax commuter benefits, • Weekly company meals Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary for this role is $120,000 to $150,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job DescriptionWhy Prizeout At Prizeout, we’re redefining how people engage with their money through smarter, data-driven rewards. We’re looking for curious, analytical builders who love turning complex, messy data into meaningful insights that drive loyalty and better financial outcomes. We keep the user at the center of every decision and we value humility, curiosity, and ownership. About This Role As a Data Scientist at Prizeout, you’ll work with the rich transaction and product data that powers CashBack+ and our credit union rewards ecosystem. You will use the data to build recommendation and prediction models to help match customers with the right products and improve the customer journey and ecosystem.What You'll Do • Translate raw data into meaningful insights and productionalized data products, • Build and maintain scalable, interpretable user prediction models that drive product value, • Build and own user content recommendation models that drive user engagement, • Develop and maintain risk models that drive product safety and business value, • Collaborate with Engineering, Analytics, Data Engineering, Product, and Operations teams to refine models and drive value, • Stay current on AI and emerging technologies to guide modeling & engineering best-practicesWhat We're Looking For, • 3+ years experience in data science/modeling ideally in predictive modeling or recommender systems, • Advanced Python and SQL skills, • Experience with big data, • Ideally experience with financial/transaction data or familiarity with brand data, • Familiarity with Snowflake or similar data warehouse tools, • Bias for action and comfort working with ambiguity, • Ability to thrive in a fast-moving, collaborative, mission-driven team, • Clear communicator who brings clarity, not complexity, • Scrappy, resilient, and energized by building things that work in the real world at scale Prizeout is an adtech company with a three-sided marketplace that allows consumers to receive earned or allocated funds via digital gift cards. Our commercial partners offer Prizeout as a withdrawal or disbursement method, while brands can digitally advertise and acquire new customers through Prizeout ad campaigns. Prizeout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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., • 7+ 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. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Location: New York / Hong Kong / Shanghai / Shenzhen / Beijing Function: Quantitative Research About the Role We are partnering with a rapidly growing, research-driven quantitative investment fund with a global footprint. The fund specializes in high- and mid-frequency trading strategies across equities and futures markets. Researchers play a central role in driving alpha discovery, end-to-end model development, and strategy optimization within a lean and highly collaborative environment. This is an opportunity for someone who wants full ownership of the research lifecycle, access to diverse datasets, and the chance to make a direct impact on trading strategies in a platform that values intellectual rigor and innovation. Responsibilities * Conduct quantitative research to identify alpha signals across equity and futures markets. * Build, test, and optimize statistical and machine learning models for trading strategies. * Analyze large, diverse datasets and extract actionable insights for mid- to high-frequency domains. * Collaborate closely with a research-focused team to drive the implementation of new models and strategies. * Stay at the forefront of academic research and translate it into practical trading applications. Requirements * Bachelors, Masters, or PhD in Statistics, Mathematics, Physics, Computer Science, or related quantitative field. * Proficiency in 1 programming language: Python (preferred), C++, MATLAB, R, or C#. * Strong analytical skills, intellectual curiosity, and structured problem-solving capability. * Ability to synthesize academic research and apply it to practical quantitative problems. Preferred Qualifications * Competition awards (e.g., IMO, IPhO, ACM-ICPC) or top-tier academic achievements. * Publications in peer-reviewed journals or conferences in relevant fields. * Prior experience in quantitative research, trading, or data-intensive environments is a plus. Why This Role? * Research Ownership: Lead projects end-to-end, from alpha discovery to strategy deployment. * Global Exposure: Work with a team across US and Asia offices. * Innovation-First: Access to diverse datasets and a culture of continuous R&D. * Career Growth: Lean teams allow high-impact contributions early in your career.

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. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. 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. Responsibilities • Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications., • Conduct rigorous analysis and validation of machine learning algorithms and prototypes., • Explore novel methods for processing and analyzing large, complex medical imaging datasets., • Collaborate with engineering teams to deploy ML algorithms in clinical practice., • Present research findings, insights, and recommendations to internal stakeholders and external collaborators., • Author scientific publications and contribute to patent development., • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ 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, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results., • Ability to translate complex clinical requirements into machine learning solutions., • Strong critical thinking, problem-solving, and project management skills., • 2+ years of postdoctoral research or industry experience., • Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques., • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Base Salary: $186,000 - $212,000 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 Data Scientist NYC, NY or Remote Type: Contract About the Role We are seeking an experienced Data Scientist to join our AI Data Science team, with a strong emphasis on modern data engineering and platform-based development. This role focuses on building scalable, production-grade data and machine learning pipelines that power analytics, predictive models, and AI-driven insights across the firm, including work within our Databricks environment. Required Qualifications • § 5+ years of experience in data science, data engineering, applied machine learning, or advanced analytics roles • § Advanced proficiency in Python, with demonstrated experience building production- grade data, ML, or GenAI pipelines • § Hands-on experience working with Generative AI or LLM-based systems, including prompt design, evaluation, and application integration • § Strong grounding in data analysis, statistics, and exploratory analysis • § Experience translating business or domain questions into analytical approaches and communicating insights to non-technical stakeholders • § Strong hands-on experience with Databricks (Spark, notebooks, jobs, Delta Lake) in a production environment • § Solid understanding of data modeling, ETL/ELT patterns, and distributed data processing • § Experience deploying and maintaining machine learning models in production environments • § Excellent communication skills, with the ability to explain complex technical concepts clearly Preferred Skills • § Experience with MLflow, model registries, and experiment tracking • § Familiarity with version control and deployment workflows for data, ML, and GenAI solutions • § Experience with RAG architectures, vector databases, or semantic search • § Familiarity with GenAI evaluation techniques, including human-in-the-loop review • § Knowledge of SQL and data warehousing concepts • § Experience supporting talent analytics, people analytics, executive assessment, or professional services use cases • § Ability to design analyses and narratives appropriate for senior consultant and executive audiences • § Experience working in regulated or enterprise environments with an emphasis on reliability, governance, and trust

Job Description Company Overview Mantra Health is an award-winning digital mental health provider on a mission to make evidence-based care more accessible to students. We partner with colleges and universities to offer comprehensive virtual mental health services, including therapy, psychiatry, 24/7 crisis care, emotional wellness coaching, and self-care content. Our technology solutions seamlessly integrate with campus health systems to enhance student well-being and improve graduation rates. Recognized as a leader in digital mental health, Mantra Health was named a Rising Star by the UCSF Digital Health Awards and won Juniper Research's Gold Star for Best Digital Therapeutic Solution. Today, our programs support over 900,000 students across 125+ campuses, including Penn State, MIT, and Miami Dade College. We've raised over $34M from leading investors and we're looking for ambitious, talented, action-oriented individuals to join us in shaping the future of student mental healthcare. Opportunity for Impact Mantra Health is seeking a Senior Data Scientist to help advance Beacon, an intelligence platform designed to improve student well-being, success, and retention. This role sits at the intersection of product, engineering, and strategy—turning complex data into clear, actionable insights that help institutions understand not just what is happening, but what to do next. This is a highly visible, senior individual-contributor role with meaningful ownership and executive exposure. The right candidate brings strong analytical judgment, excellent communication skills, and the ability to translate data into compelling narratives that demonstrate real-world impact and ROI while continuously enhancing Beacon capabilities. What You'll Do • Build Data Products for Population Insights: Design and deliver data products that translate complex data into clear, actionable insights for Care Teams and partnering schools. Focus on population-level insights that support early identification, prioritization, and effective response to student needs., • Develop the Data Platform Across the Care Lifecycle: Build and evolve data infrastructure that supports the full lifecycle—from identifying student needs, to recommending pathways for support, to escalation and follow-up. Partner with engineering to ensure insights are delivered reliably, securely, and at scale., • Validate Impact with Product and Clinical Partners: Work closely with Product and Clinical teams to define success metrics and validate the efficacy of insights, interventions, and workflows. Ensure analytics align with clinical realities, ethical standards, and real-world care delivery., • Adaptable and Pragmatic: You are comfortable navigating ambiguity and evolving priorities. You adapt your approach as new information emerges and focus on practical solutions that balance rigor with speed., • Strong Analytical Judgment: You bring a solid foundation in statistics and applied analytics, with the ability to choose appropriate methods for the problem at hand. You understand concepts such as confidence intervals, bias, and tradeoffs, and apply them thoughtfully in real-world contexts., • Product-Oriented Data Scientist: You have experience working on analytics that directly influence product direction or business decisions. You understand how to define meaningful metrics, evaluate impact, and connect insights to outcomes., • Technically Proficient: You are proficient in Python and SQL and comfortable working with modern data stacks, pipelines, and large datasets. You value clean, well-documented, reproducible work and collaborate effectively with analytics and engineering partners., • Clear Communicator: You can explain complex analytical concepts to non-technical audiences and focus on the "so what." You tell compelling stories with data that resonate with executives, partners, and cross-functional teams., • Professional Experience: 4+ years of experience in data science, analytics, or a related field, including delivering analytics, models, or data products used in production environments., • Domain Experience: Experience working in healthcare, education, fintech, or other regulated or data-sensitive industries. Familiarity with healthcare or education data is a strong plus and will help you ramp more quickly., • Applied Product Analytics: Demonstrated experience applying data science in a product-driven context. You have worked on initiatives that directly informed product direction or business decisions, rather than purely exploratory or academic work., • Technical Proficiency: Strong proficiency in Python and SQL for data analysis. Comfortable working with large datasets, writing complex queries, and using Python-based libraries to clean, analyze, and interpret data., • Statistical Judgment: Solid grounding in statistical analysis and experimental thinking. You can design and evaluate analyses with appropriate rigor and clearly interpret results, balancing precision with practical decision-making., • Communication Skills: Proven ability to communicate insights and analytical concepts to diverse audiences. You can produce clear visualizations or presentations and explain the "so what" to inform decisions at multiple levels of the organization., • Cross-Functional Collaboration: A team-oriented mindset with experience working closely with Product, Engineering, Design, or Clinical partners to deliver shared outcomes., • AI & LLM Experience: Experience applying natural language processing techniques or working with large language models, even in experimental or early production contexts., • Production Analytics or ML Exposure: Experience supporting analytics or machine-learning systems in production, including validation, monitoring, or iteration over time., • Data Visualization & BI Tools: Familiarity with tools such as Looker, Tableau, or similar platforms for communicating trends and insights prior to full productization., • Impactful Opportunity: Your work will directly influence how institutions understand and support student mental health. The insights you deliver can guide real decisions that help students access care sooner and more effectively., • Professional Growth: This is a high-ownership role within a strategic product area. You'll deepen your analytical and technical skills while expanding your product thinking and business impact through close collaboration with senior leaders., • Collaborative Culture: At Mantra, we value empathy, inclusion, and intellectual curiosity. You'll join a mission-driven team that collaborates closely and supports continuous learning., • Career Advancement: As Mantra continues to grow, this role offers opportunities to expand scope and influence over time. We invest in our team's long-term success and support individuals as they take on increasing responsibility. Compensation & Benefits Compensation: $150,000 - $200,000 Pay range may vary by location and is commensurate with experience and market rates. At Mantra, our distributed team is our secret sauce that allows us to support our mission everyday. We're collaborative, empathetic, and curious. We take time to celebrate our wins and learn from our mistakes. Each full-time employee at Mantra enjoys: • Stock Options, • Medical, vision, and dental coverage for employees, spouses, and dependents, • 401(k), • Flexible work location, • Generous PTO, sick days, jury duty days, and bereavement. Three week sabbatical and $3,000 stipend after five years of continuous full-time employment, • Inclusive parental leave, equal for all parents, • $1,000 new-parent mental wellness benefit, • Commuter card, if you commute, • Access to One Medical, • Healthcare & Dependent Care FSA Join us in shaping the future of student mental healthcare through data! If you're excited by the opportunity to build life-changing technology and have the skills and passion to match, we'd love to meet you. Apply today to help us transform mental health support for the next generation. Note: This role is open to candidates based in the United States. We are a remote-friendly team (with a slight preference for New York-based candidates for occasional in-person collaboration). Mantra Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Protect Your Information: Mantra Health has been made aware of fraudulent recruitment activities where individuals pose as our hiring team. Please note that all official communications will come from an @mantrahealth.com email address. Click here to learn more.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking an Financial Systems Administrator to join our team. You will manage, maintain, and optimize our Oracle Cloud EPM (EPBCS) ecosystem while serving as the strategic bridge between our Financial Planning & Analysis (FP&A) organization and our centralized Data Engineering teams. In our high-velocity, 5,000-location enterprise, financial accuracy is inextricably linked to operational data. You will not only handle traditional EPM administration but also partner directly with data and operational teams to define technical requirements for integrating non-financial KPIs—such as location churn, new facility onboardings, occupancy rates, and transaction counts—directly from our data warehouse into our financial forecasting models. The ideal candidate brings a strong grasp of EPM architecture, SQL data structures, and the communication skills required to translate complex operational metrics into actionable financial drivers. What you'll do • Oversee the end-to-end administration, configuration, and continuous optimization of the Oracle Cloud EPM suite (EPBCS), • Design, build, and troubleshoot Essbase ASO/BSO cubes to support large-scale operational scenario planning, • Act as the primary technical translator between Finance and centralized Data/IT teams; partner with Data Engineering to define technical requirements, ensuring that data models in our data warehouse (e.g., Snowflake) are properly structured for seamless EPM ingestion, • Collaborate with data teams to ingest high-volume non-financial KPIs (e.g., transaction counts, location churn) into EPM planning cubes, • Troubleshoot integration workflows and perform root-cause analysis on data discrepancies using SQL and Python, • Replace static calculation scripts with dynamic, context-aware logic to optimize system performance across thousands of sparse locations, • Utilize EPM Automate alongside Python or batch scripting for complex job scheduling, • Manage the volatile lifecycle of 5,000+ operational locations; ensure location additions, divestitures, hierarchical changes and associated access permissions, synchronize flawlessly across ERP, CRM, and EPM environments, • Develop and maintain high-impact visualization dashboards (Tableau, Looker, Hex) with intuitive narratives to facilitate executive decision-making; provide user support, training, and documentation for supported applicationsWhat we're looking for, • 7+ years of Oracle EPM (EPBCS/Planning) System Administration and development experience in a high-growth, multi-location enterprise, • Bachelor's degree in Computer Science, Finance, Economics, Accounting, Information Systems, or a related field, • Strong knowledge of data integration tools (EPM Integration Agent, Data Management, EPM Automate) and deep understanding of dependencies between functional components of Oracle EPM, • Proficiency in SQL and Python with a proven track record of automating financial processes, • Must understand modern cloud data structures well enough to perform "handholding" and meaningful collaboration with Data Engineers, • Exceptional ability to bridge the gap between technical data architecture and functional financial insights, • Strong experience partnering with Senior Leadership and the ability to translate "big picture" financial concepts into tactical execution plans for IT, • Ability to work independently or with a low-ego, highly collaborative, cross-functional team in a fast-paced, deadline-driven environmentWhile not required, these are a plus: Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role The Revenue Engine team at Charlie Health services all parts of our business related to revenue collection, financial reporting, and the patient financial experience by sourcing, curating, and activating internally and externally sourced datasets, and building user-facing products. As a data engineer on the Revenue Engine team, you will be responsible for building ELT pipelines, developing custom DAGs, transforming and warehousing data with DBT, and building integrations between our systems. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake., • Own and guide the development of our data infrastructure., • Orchestrate complex data workflows using Dagster., • Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures. Everyone on our team shares responsibility for continuously improving how we work., • Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods., • Bachelor's degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience, • 7+ years experience in engineering, with at least 5 years of experience in a data engineering role, • Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries, • High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations, • Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus, • Experience with data exploration, profiling, governance, visualization, and activation, • Proven ability to thrive in an ambiguous and rapidly changing environment, • Experience working with sensitive data in a regulated environment, • Expertise in healthcare and/or revenue cycle management is a plus, • You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $175,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring that people see their most compatible matches, helping them present themselves more effectively, and start meaningful conversations when they match. In short, we help people go on great dates! We are hiring Senior Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements in the field, leveraging Hinge’s years of preference data. You can expect to build recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models, as well as build and deploy real-time predictive models that directly impact the experience of millions of users. This is a fast-growing team, and you will have the opportunity to own and define the strategy, vision, and plan for accelerating machine learning at Hinge.Responsibilities • Own and contribute to foundational models that power our recommendations ecosystem., • Contribute to the research and development of models powering Hinge and experiment with the latest innovations in the field of Machine Learning (e.g., LLM agents, MMoE models, VAEs, etc.), • Design, advocate for, and implement solutions that ensure availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters., • Collaborate closely with other Machine Learning engineers, Product Managers, Data Engineers, and Scientists to understand our users' needs and identify opportunities to make their experience better through machine learning., • Mentor and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java, or C++, • System design & architecture: Proven track record of training and deploying large scale ML models, especially DNNs. Good understanding of distributed computing for learning, data processing, and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus., • ML knowledge: Deep understanding of DNN architectures, track record of building, debugging, and fine-tuning models. Familiarity with PyTorch, TF, knowledge distillation, and recommender systems is a plus., • DevOps skills: The ability to establish, manage, and use data and compute infrastructure such as Kubernetes and Terraform., • Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 4+ years of experience, depending on education, as a Machine Learning Engineer., • 2+ years of experience working in a cloud environment, such as GCP, AWS, or Azure, and with DevOps tooling, including Kubernetes., • 2+ years of experience designing and developing online and production grade machine learning systems., • 1+ year of experience leading projects with at least 1 other team member through completion. #Hinge

Job Description UNIVERSAL Technologies is seeking an experienced Oracle Fusion Reporting & Analytics Developer for an onsite role for the first 90 days in Long Island City, NY, may change to hybrid after. The right candidate will support enterprise-wide reporting, analytics, and data intelligence initiatives. This role is responsible for designing, developing, and modernizing reporting solutions across Oracle Transactional Business Intelligence (OTBI), Oracle Analytics Cloud (OAC), Oracle Analytics Server (OAS), Fusion Data Intelligence (FDI), and Autonomous Data Warehouse (ADW) while partnering closely with business stakeholders, data teams, and IT leadership. The ideal candidate brings strong SQL/PLSQL expertise, deep knowledge of Oracle Cloud reporting frameworks, and hands-on experience modernizing legacy EBS/OBIEE reporting into cloud platforms. ***Candidate must be able to work for UNIVERSAL Technologies directly. WHO WE ARE UNIVERSAL Technologies is a certified Women-Owned Business Enterprise (WBE/MWBE) IT consulting firm with over 20 years of experience providing top-tier technology talent and solutions to government and commercial clients. We specialize in delivering high-quality IT professionals across application development, infrastructure, cybersecurity, PMO, analytics, and emerging technology domains. WHAT WE OFFER UNIVERSAL Technologies offers competitive compensation, comprehensive benefits, career development opportunities, and the chance to support large-scale, mission-critical technology projects across New York and nationwide. MANDATORY SKILLS/EXPERIENCE • Bachelor’s degree in Computer Science, Information Systems, Business, or related technical field (or equivalent experience) Oracle Fusion & Cloud Reporting • 3+ years developing Oracle Transactional Business Intelligence analyses, dashboards, and reports, • 2+ years building advanced analytics and visualizations using Oracle Analytics Cloud (OAC), • 2+ years developing reports in Oracle Analytics Server (OAS), • 4+ years creating BI Publisher templates, layouts, and data models, • 2+ years working with Fusion Data Intelligence (FDI) subject areas, pipelines, and warehouse structures Database, Data Warehouse & Integration • 2+ years working with Oracle Autonomous Data Warehouse (ADW), including SQL tuning and data modeling, • 5+ years advanced SQL/PLSQL (packages, procedures, functions, triggers) using Oracle 19c/21c, • Strong understanding of dimensional modeling, star schemas, and data warehouse concepts, • Experience with ODI or similar ETL/integration tools preferred Legacy System Modernization • Knowledge of Oracle EBS data models and custom reporting, • Experience migrating OBIEE 12c reports/dashboards to Oracle Analytics Cloud (OAC)/ Oracle Transactional Business Intelligence (OTBI), • Proven ability to refactor and modernize legacy PL/SQL reporting, • Understanding of cloud migration methodologies Technical Expertise • Strong SQL/PLSQL optimization and performance tuning, • Experience with REST APIs/web services for data integration, • Familiarity with Git/SVN for version control, • Knowledge of Oracle Cloud Infrastructure fundamentals and cloud security/role-based access controls Soft Skills • Excellent verbal and written communication skills, • Strong ability to translate business requirements into technical reporting solutions, • Ability to support, train, and interface with business users, • Strong attention to detail and process-improvement mindset, • Ability to work independently and in cross-functional teams, • Experience working in Agile/Scrum environments Preferred (Nice-to-Have) • Oracle Cloud certifications (OAC, Fusion Apps, Autonomous Data Warehouse), • Experience with Oracle Integration Cloud (OIC), • Familiarity with Oracle ERP/HCM/SCM modules, • Experience with data governance or MDM, • Knowledge of AI/ML capabilities within Oracle Analytics Cloud (OAC), • Python or R for advanced analytics SCOPE OF SERVICES • Design, develop, and maintain reporting solutions across Oracle Transactional Business Intelligence (OTBI), Oracle Analytics Cloud (OAC), Oracle Analytics Server (OAS), Fusion Data Intelligence (FDI) and, BI Publisher, • Build dashboards, visualizations, and pixel-perfect reports for operational, regulatory, and analytical needs, • Develop, enhance, and optimize data models, schemas, subject areas, and pipelines supporting enterprise reporting, • Integrate and transform data across ADW, Fusion Cloud modules (ERP/HCM/SCM), and additional data sources, • Modernize legacy reports, PL/SQL code, and OBIEE dashboards for cloud-native architectures, • Conduct performance tuning, SQL optimization, caching strategies, and aggregation enhancements, • Support business analysts and end users with training, troubleshooting, and reporting best practices, • Document technical designs, data flows, migration paths, and reporting specifications, • Ensure audit readiness, compliance, version control, and adherence to change management processes, • Participate in Agile/Scrum ceremonies; provide status updates and manage work items using standard project tools, • Collaborate with IT, data governance, analytics, and application teams to ensure data quality, consistency, and compliance UNIVERSAL Technologies is an equal opportunity employer.

Job Description Position Description A client of AlphaStaffHCM is looking for a Software Engineer with deep expertise in Quantum Information Theory and Network Security. This role is critical in building a secure data path for our quantum networking products. You will responsible for using theoretical quantum principles and photonic hardware to create deployment-ready software for Quantum Key Distribution (QKD), Quantum Zero-knowledge Proof (QZEK-P), Quantum Physical Unclonnable Functions (QPUF), and secure entanglement distribution. Responsibilities • Design and implement high-performance C++ software for real-time quantum cryptographic protocols, including entanglement-based polarization and time-energy QKD., • Develop efficient algorithms for classical post-processing in quantum-secured systems, specifically focusing on Error Correction (Information Reconciliation), Privacy Amplification to maximize secure key rates, and quantum authentication/confirmation., • Architect the Hardware Abstraction Layer (HAL) for distributed quantum networking nodes (Alice/Bob), interfacing with single-photon detectors, polarization controllers, and time-tagging electronics., • Optimize the full cryptographic stack for latency and throughput, ensuring seamless integration between quantum key generation, quantum authentication/confirmation, and the key management entity.., • Collaborate with optical physicists and FPGA engineers to deliver new features and provide updates as existing hardware is upgraded over time., • Develop simulation tools to model channel loss, noise sources, and the statistical performance of quantum protocols. Required Qualifications • Bachelor’s degree in Computer Science, Electrical Engineering, Physics, or Mathematics is required., • 6+ years of experience in software engineering with a focus on systems, security, or embedded devices., • Strong proficiency in C++ and Python., • Deep domain knowledge of Quantum Key Distribution (QKD) protocols (e.g., BB84, E91, BBM92) and their implementation requirements., • Experience implementing Error Correction codes (e.g., LDPC, Cascade, Winnow) or Forward Error Correction (FEC) specifically for noisy communication channels., • Understanding of Quantum Information concepts, including entanglement distribution, Bell state measurement, and qubit polarization encoding., • Familiarity with high-speed data acquisition and processing protocols (e.g., PCIe, DMA, UDP/TCP)., • Familiarity with Linux system programming and build toolchains (CMake, GCC/Clang). Preferred Qualifications • Knowledge of classical cryptography standards (AES, RSA, ECC) and PKI infrastructure., • Familiarity with Post-Quantum Cryptography (PQC) algorithms (Lattice-based, Hash-based)., • Experience with network security protocols (IPsec, TLS/SSL) and how QKD integrates into the OSI model., • Background in Information Theory and statistical analysis for security proofs. Preferred Education • Master’s or Ph.D. in Quantum Information Science, Physics, or Cryptography is highly preferred. Skills C++, Python, Quantum Key Distribution (QKD), Error Correction, Cryptography, Network Security, Entanglement, Polarization, High Performance Computing, Linux, Algorithms. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job DescriptionAbout Fusemachines Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. Position Overview We are seeking an experienced QA Engineering Lead with a background in testing machine learning (ML) web applications to join our team. Bonus: If you have worked with LLM's. The ideal candidate will lead the quality assurance efforts with a very hands-on attitude for our ML-driven projects, ensuring the highest standards of quality and reliability are met. The QA Engineering Lead will collaborate closely with cross-functional teams, mentor junior QA engineers, and drive the adoption of best practices in ML Application testing methodologies. Responsibilities • Lead the QA team in developing and implementing comprehensive test plans, test cases, and strategies specific to machine learning applications., • Drive the adoption of automated testing tools and frameworks to increase testing efficiency and coverage., • Create strategies and tests for new product features, in addition to executing regression testing of existing features., • Work with development teams to develop test plans, test suites, and test cases to ensure that the software stack is thoroughly verified and validated through manual and automated methods., • Submit, track, and verify defects through the software development lifecycle, ensuring timely resolution., • Write documents, tests, scripts, and tools to help facilitate testing and improve efficiency., • Define and establish QA metrics, measuring the effectiveness of testing processes and identifying areas for improvement., • Collaborate with product owners, machine learning engineers, and software engineers to ensure alignment on quality objectives and priorities., • Design and execute testing for ML models, including functional, performance, and scalability testing., • Mentor and provide guidance to junior QA engineers on testing methodologies and best practices., • Stay current with industry trends and advancements in ML testing techniques and tools., • Participate in release planning and deployment activities for ML-driven features, ensuring smooth integration and deployment., • Investigate and troubleshoot issues related to ML model performance or behavior, working closely with data scientists and engineers to resolve them., • Conduct functional, regression, performance, and security testing as needed., • Drive the adoption of automated testing tools and frameworks to increase testing efficiency and coverage., • Define and establish QA metrics to measure the effectiveness of testing processes and identify areas for improvement., • Participate in release planning and deployment activities, ensuring a smooth and successful release process., • Bachelor's degree in Computer Science, Engineering, or related field; or equivalent work experience., • 5 years of experience in quality assurance or software testing, with a some experience working on machine learning applications., • Familiarity with basic machine learning concepts, • Familiarity in programming languages commonly used in ML development (e.g., Python, R, etc.)., • Experience in designing and implementing effective test strategies for ML models including LLM's, • Excellent analytical and problem-solving skills, with a keen attention to detail., • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams., • Experience with Agile development methodologies is preferred., • Familiarity with LLM evaluation frameworks, • Hands-on experience with automated testing tools and frameworks (e.g., Selenium, JUnit, TestNG, etc.). Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Powered by JazzHR jsVBCScuOD

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Charlie Health is seeking an experienced Lead Security Engineer to join our Information Security team. In this role, you will partner closely with engineering and product teams to embed secure development practices across the entire software development lifecycle (SDLC). You will be the subject matter expert on application security, guiding the business in building secure, scalable and HIPAA-compliant software solutions. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Security Integration & Guidance, • Collaborate with product and IT engineering teams to design secure applications and features., • Educate developers on secure coding practices and security testing., • Serve as a subject matter expert on internal application security and SDLC controls., • Assessment & Threat Modeling, • Conduct code reviews, threat models and risk assessments to identify and mitigate vulnerabilities early., • Perform internal penetration testing and support incident response for application-level issues., • Continuously monitor the threat landscape to proactively adjust defenses and strategies., • Tooling & Automation, • Develop and implement tools and frameworks to integrate security into CI/CD pipelines., • Work with teams to build and enforce secure SDLC controls in a fast-paced agile environment., • Own and enhance application vulnerability management and remediation processes., • Collaboration & Policy, • Lead implementation of security policies, standards and remediation processes., • Work cross-functionally to balance security risks with business objectives and product timelines., • 10+ years of experience in application security, secure software development, or related roles., • Bachelor's degree in Computer Science or related field, or equivalent experience., • Proficiency in secure coding practices and languages such as TypeScript, Node, Python, Java, C++ or similar., • Ability to contribute code changes to production applications as needed, including debugging, fixing security vulnerabilities, and collaborating with engineering teams on secure feature development., • Hands-on experience with application security tools (e.g., Burp Suite, OWASP ZAP, Fiddler)., • Deep understanding of web application vulnerabilities: XSS, CSRF, SQLi, session management, etc., • Experience implementing security in CI/CD pipelines such as GitHub Action and agile development workflows., • Familiarity with management and deployment of SAST, DAST, and SCA tooling, • Knowledge of authentication technologies (i.e. Auth0, Okta, etc) and how to securely integrate them with applications, • Strong communication skills with ability to clearly articulate risk to technical and non-technical audiences., • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/wNice to Have, • Experience with HIPAA and securing applications in healthcare environments., • OSCP, OSWE or other relevant security certifications., • Experience securing custom software collaboratively on a team., • Familiarity with AWS cloud platform., • Experience contributing to or managing bug bounty programs., • Knowledge of security standards such as SOC2, ISO 27001/2, NIST 800-53, HITRUST, or HIPAA Security Rule., • Ability to write proof-of-concept exploits and perform advanced security analysis.Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $180,000 and $240,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-Remote #LI-Hybrid Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Who We Are Spot & Tango is an innovative pet health & wellness brand that delivers personalized meal plans on a subscription basis. Our recipes are developed by leading animal nutritionists, and are made with only real, human-grade ingredients... and nothing artificial! We have lofty goals (to make every dog in the US and Canada healthier, and every pet parent happier!) and we are looking for the right people to help us get there. This is an exciting opportunity to join a VC-backed, high-growth, e-commerce startup and have an outsized impact in an extremely fast-paced environment. Plus, you get to think about dogs all day! Who You Are We are seeking a talented and experienced Jr Software Engineer to join our growing team. We are seeking candidates with expertise primarily in React and Python. As a Jr Software Engineer at Spot & Tango, you will play a pivotal role in building scalable web applications for our customers and for internal company use. Responsibilities: • Play a role in designing and building new features for our core products, primarily using TypeScript, React, React Native, and NextJS, • QA efforts by writing integration tests and thoroughly testing code before merging, • Collaborate with cross-functional stakeholders to ensure web applications achieve their business goals, • Optimize applications for maximum performance and responsiveness, especially on mobile devices, • Troubleshoot, debug, and resolve software defects and issues, • Implement security best practices to ensure the integrity and confidentiality of user data, • Stay up-to-date with emerging technologies and industry trends, and apply them to enhance our products, • Participate in code reviews to maintain code quality and ensure compliance with coding standards, • Contribute to the development of technical documentation and knowledge sharing within the team, • BS in Computer Science, Engineering, or a related field strongly preferred, • 0-3 years of professional experience developing software, • Proficiency in NextJS and React, with a strong portfolio showcasing your work, • Experience in developing and deploying web applications, • Ability to work independently and as part of a collaborative team, • Ability to find simple solutions to complex problems, • Excellent communication skills, • Solid understanding of front-end technologies such as HTML, CSS, and TypeScript, • Experience with AWS services preferred, • Experience with version control systems (e.g., Git), • Excellent problem-solving skills and attention to detail, • Experience working in a startup environment, and familiarity with DTC (Direct-to- Consumer) business models and e-commerce is a plus, • Familiarity with RESTful APIs and third-party integrations This is a hybrid position. You must be able to commute into our office in Midtown Manhattan Monday, Wednesday, and Thursday. Spot & Tango is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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 DescriptionCompany Description NIQ is the world’s leading consumer intelligence company, helping brands and advertisers understand what people buy, watch, and engage with. MRI‑Simmons, a division within NIQ, runs one of the most comprehensive and detailed consumer insights studies in the U.S., collecting thousands of data attributes from 50,000+ respondents annually. Our Consumer Canvas product takes this data even further — mapping it to the broader U.S. population (250M+ adults) and enabling advanced audience targeting through partners like The Trade Desk, LiveRamp, TransUnion, and more. We are expanding our architecture team to drive the next evolution of Canvas — identity resolution, data enrichment, privacy‑first design, and scalable activation pipelines. Job Description We are seeking a Data Architect to own and evolve the end‑to‑end architecture behind the Consumer Canvas platform. You will work across Snowflake, Databricks, identity systems, ingestion pipelines, and activation layers — ensuring our data is scalable, secure, privacy‑compliant, and highly performant. You will partner closely with Data Engineering, Data Science, Machine Learning, and Product teams to build next‑gen solutions that power the future of consumer insights and advertising activation. This is not a migration or maintenance role — it is a strategic influence position with the opportunity to architect new systems, components, and methodologies from the ground up • Own the end-to-end architecture of the Consumer Canvas product., • Design systems across ingestion, identity spine creation, enrichment, governance, and activation workflows., • Collaborate with cross-functional partners (Data Scientists, ML Engineers, Data Engineers, Product Owners)., • Define and enforce PII governance, privacy controls, and security best practices., • Translate complex business and technical requirements into scalable architecture., • Support technical teams with architectural guidance and model/structure design., • Participate directly in design, prototyping, and testing cycles within an Agile environment., • Act as a senior technical thought partner, providing mentorship (non‑manager role).Qualifications Must‑Have Skills • 5+ years of experience in Data Architecture or related technical leadership roles., • Hands-on experience with Snowflake (including Data Clean Rooms) and/or Databricks., • Strong SQL and experience with Python, PySpark, and Spark., • Proven experience working with PII data, privacy constraints, and governance frameworks (critical & non‑negotiable)., • Data modeling expertise (conceptual, logical, physical)., • Experience designing scalable data pipelines and cloud-native architectures., • Experience in Ad-Tech, Martech, Media, Consumer Data, or Identity Ecosystems, • Familiarity with Medallion Architecture (Bronze/Silver/Gold)., • Azure services (ADF, Azure Data Lake, Azure DevOps)., • Containers & orchestration (Docker, Kubernetes)., • Bachelor’s degree in Computer Science, Engineering, or a related field required., • Master's degree or certifications (SnowPro, Azure Data Engineer) are a plus., • A strategic thinker who enjoys architecting new systems, not just migrating old ones., • Passionate about privacy-first data design and operational excellence., • Skilled at turning ambiguous requirements into elegant architectures., • Excited by large-scale audience data (hundreds of millions of profiles)., • Comfortable navigating complex stakeholder environments. Additional Information Why Join NIQ? • Build one of the most influential consumer identity data architectures in the U.S., • Work with cutting-edge cloud technologies (Snowflake, Databricks, identity graph frameworks)., • Be part of an innovative team pushing the boundaries of consumer analytics and ad-tech., • Flexible, fully remote work environment. Our Benefits • Flexible working environment, • Volunteer time off, • LinkedIn Learning About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the

Job DescriptionSamba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights. Reporting directly to the Head of Measurement Science, the Associate Director, Publisher & Platforms position will lead the operations of a publisher and platform channel sales business in close partnership with both the Sales, Product Management, Finance, and operational teams. Assuming a customer empathy lens, the Associate Director will own the measurement process for the vertical from client ideation to implementation, understanding our customer’s unique needs and challenges, recognizing the value of inclusiveness by seeking diverse perspectives throughout the process. The ideal candidate relies on their emotional intelligence, persuasiveness, and operational excellence to swiftly meet the needs of thousands of internal and external customers who depend on Samba TV's proprietary viewership insights that enable them to make business decisions. This role will be responsible for a team focused on reporting and performance evaluation of advertiser campaigns, in addition to contributing towards greater ad sales research initiatives for Samba. What You'll Do • Oversee a 5 person client delivery team, providing leadership oversight and mentoring to team of analytics professionals while focused on setting up and delivering world class ad effectiveness measurement and building process building/workflow documentation, • Lead client engagements at the most senior level, routinely engaging with C-Suite executives at publishers, brands, agencies and ad tech platforms, • Partner with GTM teams and marketing to properly position Samba measurement capabilities and support Head of Measurement initiatives, • Help drive strategy around, cross platform, attribution, and other forms of innovative measurement, • Actively evangelize Samba data and measurement capabilities in client engagements, marketing efforts and at industry events as well as visionary leadership around the use of Samba TV’s measurement, • Support development of narratives for findings; drafting of proposals and statements of work for new opportunities with existing clients, • Be an expert on Audience and Outcome Measurement methodologies and industry standards, both inside and outside of Samba, • Proven track record and comfortability in a client facing role, a deep understanding of the advanced TV and video ecosystems, along with an expertise in audience based buying, • Work in deep partnership with Data Science and Product teams alongside Head of Measurement to create better measurement products that advance the industry, • Lead meta-analysis and large bespoke measurement engagements, • Balance changing priorities and execution of multiple research studies at once and manage deliverables and timelines, • Possess a willingness to support team members and dive into a player-coach role as needed to maintain delivery schedules and hit delivery goals, • Work with cross-functional teams to implement and execute studies, • Educate internal and external teams on the benefits and capabilities of Sambas suite of measurement products, • Serve as a strategic bridge between clients and internal teams, translating client needs into actionable product roadmaps while managing expectations and building confidence in Samba TV's long-term vision. Champion client voice in internal strategy sessions and product development discussions., • Track record of maintaining 90%+ client retention rates and generating significant account expansion through trust-based relationships with experience developing and implementing client feedback systems to continuously improve service delivery, • Establish client success metrics and implement regular business reviews to ensure client satisfaction, retention, and growth, • Experience managing remote or distributed teams and fostering collaboration and culture across time zonesWho You Are, • BA/BS or MS in related technical field or equivalent practical experience, • 4+ years in ad effectiveness, audience measurement, and guiding client actions based on data, • 2+ years of experience leading research delivery team, • Demonstrated technical acumen; ability to influence and debate solutions with technical team members, to understand technology solutions and potential tradeoffs, and to represent technical concepts to non-technical stakeholders, • Excellent written and verbal communication skills, including client presentations and industry events, • Ability to develop keen client insight and actionable recommendations based on research, data, and industry trends, • Cross-functional solid leadership; ability to excite, influence and align other teams to achieve goals, • Experience with both outcomes and audiences measurement capabilities, • Experience in the TV, Media, Entertainment, or digital advertising spaces, • Understanding of identity resolution and programmatic advertising, • Comfortable with SQL, R/Python or similar data tools, • Proficiency working within Salesforce, Jira, Asana, or other CRM and/or project management tools #LI-AK1Samba TV expects to offer a base salary between $130,000 - $160,000 USD per year for roles to be performed in New York or California; actual base salary offered will depend on various factors including but not limited to location, experience, and performance. Base salary is just one component of Samba TV’s total compensation package for employees. Other rewards may include bonuses, short-term incentives and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.Samba TV is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact. Samba TV may collect personal information directly from you, as a job applicant, Samba TV may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

Job DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. The role: We're looking for a Senior Manager, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond traditional analytics—you'll be responsible for building the ML and experimentation foundation that enables personalized, intelligent product experiences at scale. As Senior Manager, you'll own the strategic vision for how data science shapes our product roadmap. You'll build and lead a team focused on predictive modeling, personalization, experimentation frameworks, and emerging ML capabilities that directly impact customer engagement, retention, and lifetime value. This is a high-impact role for someone who thinks strategically about the future of product science while remaining hands-on in driving technical execution. Responsibilities:Strategic Vision & Product Partnership • Define and execute the product data science strategy, identifying opportunities where ML and predictive analytics can unlock step-change improvements in customer experience and business outcomes, • Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap with data-driven insights and forward-looking ML capabilities, • Act as a thought leader on emerging data science techniques (personalization, recommendation systems, causal inference, generative AI) and their application to product problems, • Translate complex product challenges into clear data science problems with measurable success criteria, • Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration, • Partner with the Growth Data Science & Analytics team to align experimentation, measurement, and modeling efforts into a cohesive end-to-end data science ecosystem.Team Leadership & Development, • Build, mentor, and scale a high-performing product data science team capable of delivering both strategic insights and production ML systems, • Foster a culture of innovation, experimentation, and continuous learning within the data science organization, • Create career development pathways that attract and retain top data science talent, • Collaborate with Analytics Engineering to ensure seamless model deployment and monitoringAdvanced Analytics & ML Capabilities, • Own and evolve personalization and recommendation systems that drive engagement and conversion across the customer journey, • Design and implement robust experimentation frameworks that enable rapid, high-quality product testing and learning, • Develop causal inference methodologies to understand true incrementality of product changes., • Ensure models are observable, explainable where needed, and continuously improved post-launchProduct Measurement & Impact, • Define product success metrics and measurement frameworks that align with business objectives, • Build scalable dashboards and monitoring systems that provide real-time visibility into product performance, • Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimizationQualifications:, • 8+ years of experience in data science, with at least 3 years in leadership roles managing data scientists or ML engineers, • Proven track record building and deploying ML models in production, particularly in personalization, recommendation systems, or predictive modeling, • Deep expertise in experimentation and causal inference, including A/B testing, incrementality measurement, and statistical rigor, • Strong product sense and business acumen—ability to identify high-impact opportunities and translate them into data science initiatives, • Experience in consumer tech, e-commerce, or marketplace businesses where personalization and user engagement are critical, • Excellent communication skills—ability to explain complex technical concepts to non-technical stakeholders and influence product strategy, • Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch, TensorFlow), • Experience with cloud-based data infrastructure (AWS, GCP, Snowflake) and ML Ops tools (MLflow, Airflow, Kubeflow)Preferred requirements:, • PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field, • Experience with real-time ML systems and feature stores, • Background in recommendation systems or two-tower/multi-modal embeddings, • Familiarity with generative AI and LLM applications in product contexts, • Experience building data science teams from scratch or through periods of rapid growth, • Prior work in subscription businesses or retention-focused products, • Knowledge of modern product analytics tools (Amplitude, MixPanel, Looker)What Success Looks Like, • 6 months: Established product data science roadmap aligned with business priorities; shipped at least one high-impact ML model to production; built strong partnerships with Product and Engineering leadership We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan 📈 We grow, you grow: Stock Options Plan granted on Day 1 🌟 Eligible for a bi-annual performance bonus ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🚀 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$225,000—$240,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.

Job DescriptionCompany Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description You will play a key role in shaping how data flows across Uncommon Schools, helping teams make better decisions that directly impact students and communities. As a Senior Data Engineer, you’ll design and build the systems that connect our applications and data warehouse, ensuring data is accurate, accessible, and reliable. You’ll partner closely with teams across Data, IT, and the organization to translate complex needs into scalable solutions. This is a highly collaborative role where your work will strengthen how we use data to drive outcomes and continuously improve how we operate. Responsibilities Data Integration & Architecture • Design end-to-end data pipelines and integrations aligned to organizational goals, • Build and maintain APIs to enable seamless data movement across systems, • Transform and connect data across applications and the data warehouse while maintaining data integrity, • Provide advanced support for data integrations and partner with IT and Product teams to resolve issues, • Guide implementation of new integrations and support systems post-deployment, • Select and implement tools that support integration and data infrastructure needs, • Partner with stakeholders to understand needs and translate them into technical solutions, • Communicate complex concepts clearly to support strong decision-making, • Mentor team members and support adoption of best practices and coding standards, • Monitor integrations to ensure accuracy, reliability, and security, • Maintain documentation and a centralized view of data integrations, • Support development of governance frameworks for data management, • Contribute to long-term enterprise architecture planning and technical directionQualifications Required • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience, • Experience building and maintaining data integrations in RESTful or SOAP environments, • Proficiency in at least one programming language such as Python, JavaScript, C#, or Java, • Strong experience writing and maintaining complex SQL queries, • Experience with data pipeline and workflow tools such as Apache Airflow, • Experience with data modeling tools such as dbt, • Experience with data validation tools or frameworks, • Experience working with AI coding tools or assistants, • Strong problem-solving skills with attention to detail, • Ability to prioritize work and manage multiple responsibilities, • Clear and thoughtful communication with both technical and non-technical audiences Additional Information Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. Compensation The full compensation range for this role is $120,700 to $142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed. Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Work Environment Manhattan-based role with in-office work three days per week. Benefit Highlights: • 19 days of paid time off, • 3 weeks of paid Winter and Summer org-wide holidays, • Comprehensive Health, Dental, and Vision insurance plans, • 403(b) retirement savings program + employer match, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefits, • Pre-tax flexible spending, dependent care, and health saving accounts *A detailed list of all benefits is located HERE. At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve---with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture. As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email .

Job Description Software Engineer, Full Stack (Frontend-Leaning) Location: New York City (SoHo) — In-Person About Our Client Our client is building the next-generation platform for institutional finance. The OTC derivatives market moves trillions of dollars daily on infrastructure that hasn't meaningfully evolved in decades—this team is modernizing that foundation with a delightful user experience, a modern cloud-native stack, and an AI-native architecture designed for how financial services will operate over the next 10–20 years. The team comes from trading, quantitative, and engineering roles at top-tier financial institutions, and they're building systems capable of processing complex, high-stakes transactions across global markets. Their customers include sophisticated banks, hedge funds, and asset managers—meaning the problems are hard, the expectations are high, and the impact is real. Tech Stack * Cloud-native architecture (serverless-first) + Infrastructure-as-Code (IaC) * Backend services in Python and Java * Frontend in TypeScript / React * AI tooling leveraging modern foundation models * Automated SDLC with tools like GitHub, Logfire, Vercel, and rapid intraday deployment practices The Role Our client is hiring a Full Stack Software Engineer with a frontend focus to help build and scale the systems powering a derivatives and capital markets platform. You'll translate financial and business requirements into reliable, scalable, user-friendly product experiences—working closely with engineers and stakeholders in a fast-moving environment. This is a hands-on role for someone who enjoys building polished front-end experiences while still being comfortable going full stack when needed. What You'll Do * Build and maintain high-performance React/TypeScript applications used by institutional finance teams * Develop responsive, accessible, and data-rich UI experiences (tables, workflows, analytics views) * Partner with product and design to translate complex workflows into intuitive user journeys * Integrate with backend services (Python/Java) through REST and/or GraphQL APIs * Contribute to scalable architecture, clean code practices, testing, and deployment automation * Help enhance platform reliability and performance in a high-expectation, high-velocity environment Requirements * Bachelor's degree in Computer Science, Engineering, Mathematics, Financial Engineering, or related field * In-person in NYC (SoHo) * Strong proficiency in React and modern JavaScript/TypeScript * Experience building responsive, accessible, data-driven frontend applications * Working knowledge of backend development in Python, Java, or similar languages * Experience with databases (e.g., MongoDB or other object/document databases) * Experience integrating with RESTful and/or GraphQL APIs * Familiarity with cloud infrastructure and deployment (AWS, GCP, or Azure) * Strong software design fundamentals across frontend and backend * Ability to collaborate cross-functionally (engineering, product, design) * Strong debugging, problem-solving, and communication skills Bonus Qualifications * Financial systems knowledge: reference data, pricing, market data integrations * Experience with trade capture, valuation, risk, or post-trade workflows * Familiarity with derivatives, FX, or fixed income products * Experience with reconciliation and operational data pipelines * Prior experience supporting institutional clients in capital markets * Experience building or integrating Generative AI (OpenAI, Anthropic, Gemini) into financial applications What Success Looks Like (First 90 Days) * Ship meaningful frontend improvements that reduce friction in core workflows * Build confidence with the domain (OTC derivatives + post-trade lifecycle) and the platform architecture * Improve UI performance, reliability, and developer velocity through clean patterns and automation * Become a trusted owner of key product surfaces used by sophisticated institutional customers

Job Description About the Role We are seeking an experienced AEM Technical Lead to join our growing Digital Solutions team. This role supports Adobe Experience Manager environments for enterprise-grade digital experiences. You will be responsible for implementing CI/CD pipelines, automating infrastructure, supporting containerized services, and guiding teams on AEM cloud best practices and web operations. You should be adept at working in fast-paced environments, leading technical operations, and managing high-availability infrastructure for content-driven digital platforms. Strong communication, systems thinking, and a passion for automation and operational excellence are essential. We are looking for candidates who can do 1 day per week in office. Possible locations are Tampa, Charlotte, New York, New Jersey and Mississauga, Ontario. Key Responsibilities * Design, implement, and maintain CI/CD pipelines and environment automation using Jenkins, GitHub Actions, Terraform, and Ansible * Manage and operate AEM as a Cloud Service environments including provisioning, configuration, deployment, and troubleshooting * Configure, monitor, and support Apache web servers and AEM Dispatcher setups * Build and manage containerized services using Docker and Kubernetes across development, staging, and production * Guide internal and external teams on performance optimization and operational best practices for AEM * Lead infrastructure builds for high-availability production environments on AWS, GCP, or Azure * Automate operational tasks and enhance deployment workflows using Bash, Python, and Groovy * Monitor site uptime and performance using tools like New Relic, Datadog, and Splunk * Maintain operational documentation including DR runbooks and infrastructure diagrams * Participate in incident response and on-call support rotation Required Qualifications * Bachelor’s degree in Computer Science or related field, or equivalent work experience * 5-7 years in DevOps or web operations roles with AEM (v6.5), including AEMaaCS * Experience with AEM migrations, Apache server, and Dispatcher configuration * Experience with configuring/maintaining CDN/WAF, Adobe Enhanced Security * Strong experience with Docker and Kubernetes in production environments * Proficient with Terraform, Ansible, Jenkins, and GitHub Actions * Solid Linux/Unix administration experience * Strong scripting proficiency in Python, Bash, or Shell * Familiarity with observability and monitoring tools (e.g., Splunk, AppDynamics) * Understanding of load balancing, clustering, and high-availability architecture Preferred Qualifications * Adobe Certified Expert: AEM Sites DevOps Engineer or Architect * Experience with Adobe Cloud Manager, Adobe I/O, and AEM Brand Portal * Familiarity with virtualization tools such as VMware or Vagrant * Exposure to PHP-based platforms and hybrid infrastructure models Preferred Tools & Technology Stack * Adobe Experience Manager (AEMaaCS), Apache HTTPD, AEM Dispatcher * Adobe Cloud Manager, GitHub Actions, Jenkins * Docker, Kubernetes, Terraform, Ansible * New Relic, Datadog, Splunk * AWS, Azure, GCP * Bash, Python, Groovy Scripting * CDN/WAF, Fastly Nice to Have Qualifications * Adobe Commerce Certifications - Adobe Certified Expert * 5+ years of experience Adobe Commerce development * 3+ years of experience working on Adobe Commerce enterprise solutions About Blue Acorn iCi Blue Acorn iCi, a business unit of Infosys Nova Holdings, LLC, is a digital experience partner helping global brands design, build, and optimize the future of customer engagement. We blend data, design, and technology to deliver connected commerce and content solutions that drive measurable results. Specializing in the Adobe Experience Cloud, we provide end-to-end services across commerce, content, analytics, and customer insights. Backed by Infosys, we’re growing fast—and we’re looking for exceptional talent to grow with us. Our teams work at the intersection of strategy and execution—solving complex challenges for industry leaders in healthcare, retail, manufacturing, and beyond. From large-scale digital transformation programs to platform implementations and ongoing optimization, we bring deep expertise and a collaborative mindset to every engagement. Why Join Us? Blue Acorn iCi is a place for curious thinkers, smart builders, and digital pioneers. We’re more than a consultancy—we’re a team of innovators helping the world’s top brands shape the future of digital. Here, you won’t just contribute to a project—you’ll drive meaningful outcomes, collaborate with cross-disciplinary teams, and grow your skills in a high-impact, high-growth environment. We believe great work starts with great people, and we’re committed to creating a culture where talent thrives, ideas spark change, and results speak for themselves. If you’re ready to push boundaries, deliver real value, and help shape the next generation of digital experiences—this is your place. Full Time, Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and vision insurance, life insurance, disability, paid time off, 401(k), and more! Blue Acorn iCi is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability. Please click to read EEO Law and Pay Transparency Act and IER Right to Work Document and Privacy Notice. Blue Acorn iCi will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this form or to participate in an interview, please contact us at: . California applicants: Please click here for CCPA disclosures. Powered by JazzHR RFjzcMK0WC

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at Summary CoreWeave is seeking a Sr. Data Scientist to architect and scale the data infrastructure that serves as the backbone of our Integrated Planning and Capacity teams. As an AI hyperscaler, our ability to manage GPU, CPU, and storage assets in real-time is the difference between leading the market and falling behind. Currently, our systems are in a nascent, "bare minimum" stage. You will be responsible for leading the transition to a centralized, production-grade database system. This is a heavy software engineering-focused role where you will build the pipelines and transformations necessary to unify disparate metrics—ranging from power utilization and node health to customer capacity allocation data—into a single, accurate source of truth. Your work will directly enable the dashboards used by operational planners and executives, and provide the high-fidelity data required to develop autonomous, data-based agents for quantitative decision-making. Key Responsibilities • Architect Scalable Pipelines: Design, build, and maintain robust end-to-end data pipelines and transformations that aggregate data from across the organization, including data center operations, power metrics, node provisioning, and finance., • Enable Advanced Analytics: Build and optimize the data structures that power real-time and near-real-time dashboards for operational capacity and demand managers., • Support AI Agent Development: Ensure that data pipelines are architected to support the ongoing development of quantitative AI agents designed to synthesize complex data and inform high-stakes infrastructure decisions., • Cross-Functional Synthesis: Partner with Data Center Operations, Supply Chain, Product, and Finance to ensure technical pipelines accurately reflect the physical realities of data center bring-up and node health., • Education: Master's or PhD in Computer Science, Computer Engineering, Operations Research, or a related quantitative field., • Experience: 6+ years of professional experience in data engineering or data science, with a heavy emphasis on building production-grade planning systems (ERP, MRP, or similar operations tools)., • Software Engineering Expertise: Expert-level proficiency in Python and SQL is mandatory. Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake/BigQuery) and software development best practices (version control, CI/CD)., • Systems Thinking: Proven track record of taking "weak" or unstructured data environments and scaling them into robust, automated architectures., • Domain Knowledge: Familiarity with AI infrastructure, specifically GPU/CPU utilization metrics and data center operational constraints., • Background: Prior experience in high-complexity environments such as cloud infrastructure, semiconductor manufacturing, or advanced logistics. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionUS Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity. At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries. We’re a venture-backed company entering hypergrowth, having recently ranked 94th on Inc 5000’s fastest-growing private companies in America, and we’re looking for someone exceptional to join our team. We are looking for a proactive and detail-driven Analytics Engineer to connect the worlds of data analysis and data engineering. In this role, you will design, develop, and refine data pipelines to transform raw data into meaningful insights that empower marketing, operations, and decision-making teams. If you’re passionate about analytics, automation, and building scalable solutions, we’d love to hear from you.Job Description • Work closely with engineering teams to design and develop data structures that enable deeper analysis., • Demonstrate expertise in the analytics engineering development cycle, including data modeling, version control, documentation, testing, and ensuring codebase best practices., • Build visually compelling, high-performance reporting and dashboards using tools like Tableau, Looker, or similar BI platforms to provide valuable insights from large datasets., • Create and optimize data models and schemas to support self-serve analytics and ensure data integrity., • Collaborate with business stakeholders to influence data-driven decision-making, proactively uncovering meaningful patterns and insights.Qualifications, • 4+ years of professional experience in analytics engineering, data engineering, or data science., • Strong understanding of data architecture, including building scalable pipelines and optimizing storage solutions for analytical workflows (e.g., S3, Redshift, Snowflake, BigQuery).Strong understanding of data engineering principles, including ETL / ELT processes., • Hands-on experience with data orchestration tools (e.g., Airflow) and data modeling frameworks (e.g., dbt)., • Proficiency in Python or a similar scripting language for data processing and analysis., • Strong expertise in SQL, including experience with data modeling and adherence to database design best practices., • Proven ability to create impactful reports and dashboards using business intelligence tools such as Tableau and Looker., • Experienced in a fast-paced, constantly improving, startup environment that focuses on solving problems with iterative technical solutions.Benefits, • Competitive salary, • Flexible working hours, • Supplemental health insurance, • Professional development stipend

Job DescriptionDescriptionBlue Mantis is looking to hire a Network Systems Administrator to support multiple customers based in the NYC area. The ideal candidate will be proficient in supporting various systems and applications, including server and cloud environments, and should also have experience with networking. This team supports a wide array of technologies to meet the needs of our customers’ large enterprise network environments. Key Responsibilities * • Server Administration: Manage and maintain Windows, Linux, and Unix environments to ensure optimal performance., • Cloud Operations: Administer cloud platforms including AWS, Azure, and O365 for enterprise workloads and containerization., • Virtualization: Manage, configure, and troubleshoot VMware-based environments to ensure optimal performance, scalability, and availability of virtualized infrastructure., • System Monitoring: Leverage platforms such as SolarWinds and DataDog to ensure network reliability and performance., • Incident Management: Lead network-related incident resolution, ensuring SLAs are met and escalating issues when necessary., • Security Best Practices: Implement and support secure networking solutions, ensuring robust protection in on-premise and cloud environments., • Documentation: Create and maintain detailed network documentation, including topology maps and procedures for troubleshooting. Skills, Knowledge and ExpertiseRequired Skills • Strong experience Cisco Nexus/Arista/Meraki Switches, Cisco Wireless Controllers, Windows, Linux, and Unix environments using the ServiceNOW ticketing system., • Hands-on experience with cloud platforms (AWS, Azure, O365, VMware) and virtualization/containerization technologies, Infoblox, DNS, and remediation of vulnerabilities., • Backup and DR Support: Experience supporting and troubleshooting backup and disaster recovery solutions such as Rubrik and Zerto, ensuring data protection and system resilience., • Hands-on experience with firewalls, routing protocols, and network monitoring tools like SolarWinds., • Familiarity with automation tools and scripting, • Network troubleshooting in data center environments. (Cisco, Palo Alto, Meraki, Arista), • Proficiency in scripting languages (Python, PowerShell, Bash) for automating server and cloud operations., • Familiarity with cloud-based networking solutions in AWS, Azure, or O365 environments., • Knowledge of infrastructure capacity planning and performance tuning., • Knowledge of Kubernetes, Docker, and container orchestration for managing distributed applications., • Familiarity with security best practices, SIEM platforms, and endpoint protection., • Experience with advanced video streaming technologies and CDNs., • Familiarity with infrastructure performance tuning and capacity planning.Qualifications, • Provide game day support on major holidays when games are played., • Education: Bachelor’s degree in Computer Science, Information Technology, or equivalent hands-on experience., • Certifications: CCNA, CCNP (or equivalent) ITIL and technical certifications in, servers and/ or cloud (preferred)., • Experience: Demonstrated expertise in a complex, multisite environment.Please note: This range is based on our market pay structures. However, individual salaries and hourly pay rates are determined by a variety of factors including, but not limited to business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of the job. This job description is intended to describe the general nature of work being performed by employees in this job. It is not intended to be a complete list of all responsibilities, duties, and skills required. Agencies/3 Parties may not solicit to any employee of Blue Mantis. Any candidate information received from any Agency/3 Party will be considered a gift and property of Blue Mantis, unless the Agency/3 Party is an Authorized Vendor of Blue Mantis with an up-to-date Blue Mantis Contract in hand signed by Blue Mantis Talent Acquisition. No payment will be made to any Agency/3 Party who is not an Authorized Vendor, nor has specific approval in writing from Blue Mantis Talent Acquisition to engage in recruitment efforts for Blue Mantis. At this time, we have no interest in onboarding any new staffing partners.

Job DescriptionCompany DescriptionDuetti was founded by Lior Tibon, former COO of TIDAL, and Christopher Nolte, former Business Development executive at Apple Music, with the mission of getting a wide range of artists quick and easy access to catalog sales and unlocking new investment opportunities. Leveraging their experience in streaming and support from innovative music and technology investors including Flexpoint Ford, Nyca Partners, Viola Ventures, and Roc Nation, Duetti's music platform has provided over 700 artists up to $7 million per transaction. The proprietary model provides data-driven prices for established tracks, allowing artists to sell individual tracks or even parts thereof, while Duetti then markets those tracks going forward using proprietary ROI-focused techniques. With offices in New York City, Los Angeles, Miami, and London, Duetti offers a competitive benefits package, including healthcare coverage, flexible paid time off, and a hybrid work model. Duetti provides an inspiring and familial yet ambitious work environment, where your expertise and creativity will contribute to reshaping the future of artist monetization and make an immediate tangible impact on artists’ lives. Join us on this transformative journey as we reshape the financial landscape for artists. Job DescriptionWe're looking for an Analytics Engineer to join as an early member of our Data Team and help build the systems that power artist sourcing, track pricing, portfolio management, and catalog growth. This role sits at the intersection of analytics, engineering, and product with high autonomy, technical ownership, and direct business impact. You will report to the Head of Data & Analytics and help define the future of our data products. Because data fuels everything we do, the Data Team works horizontally across the entire company. While your core focus will be deal-flow optimization and catalog pricing - the core of Duetti’s business model - you’ll also collaborate with music-industry veterans, financial experts, and senior engineers and data scientists across a variety of initiatives.You Will: • Own the core models, transformations, and analytics products that drive track and catalog pricing decisions, • Partner with Finance & Management to uncover insights into catalog performance, revenue drivers, and portfolio health, • Collaborate with Data Science to refine predictive models and integrate third-party and proprietary datasets, • Work closely with Product to design internal tools, workflows, and decision support systems, • Identify and resolve data quality and pipeline issues, ensuring a reliable analytics foundation across teams, • Dive deep into streaming performance and catalog behavior to uncover optimization opportunities for acquired catalogs, • Explore and build LLM-powered internal tools that automate data workflowsRequirements, • 5+ years in analytics engineering or data analytics roles within high-growth environments, • Strong SQL & Python skills for data modeling, transformation, and automation, • Hands-on experience with BI tools (Looker, Tableau, or equivalent), • Ability to translate complex data into clear, actionable insights for technical and non-technical stakeholders, • A builder mindset: autonomous, curious, proactive, and excited to shape a fast-moving analytics stack, • Experience with music streaming data, KPIs, or creator-economy platforms (preferred but not required)

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The OpportunityAs a Computational Materials Scientist, you will be engaging in critical simulations and modeling for materials discovery, development, and characterization. Your expertise with ab-initio calculations, DFT, and other forms of computational and theory-based modeling will be crucial to our AI-driven discovery process. You will work with leading AI scientists who depend on you to assist in data aggregation, data generation, materials simulation and model development. You will draw on a robust background in computational chemistry, software development, and machine learning. You will be responsible for running AI-enabled computational workflows for materials discovery, serving as a critical resource to the ML and materials research teams.About you • PhD degree in Chemistry, Materials Science, Computational Chemistry, Chemical Engineering, or another related subject., • Strong research experience (e.g., evidenced by publication record), including experience in computational modeling, utilizing ab-initio methods, and coarse-graining potentials for multiscale simulations of atomistic systems., • Understanding of the fundamental mechanics of metals and how to model them computationally., • Experience running high-throughput DFT., • Experience with interatomic potentials., • Chemistry software development experience (preferably public on e.g. GitHub, please share links to high impact pull request)., • Experience coding in Python or other similar languages.Pluses, • Running high-throughput DFT workflows at the order of 5,000+ concurrent jobs., • Prior experience in transitioning AI + computational research into production environments., • Experience with additional ICME approaches (e.g., mechanistic structure-property modeling, Phase Field, CALPHAD, Atomistics, Molecular statics/dynamics, etc.)., • Experience with FEM software tools (e.g., ANSYS, ABAQUS, MOOSE, PRISMS). Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for experienced teams, while making video creation accessible to anyone. We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. More about us Product (Captions by Mirage) Research (Seeing Voices, technical-white-paper) Updates (Mirage on X / twitter) TechCrunch, Forbes AI 50, Fast Company (press) Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) About the Role: As a member of our Data Science staff, you’ll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You’ll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue. Key Responsibilities: * Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities * Design and evaluate rigorous A/B tests and set success criteria and power and guardrails and deliver clear post experiment readouts * Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation * Develop and maintain analytical models and reproducible pipelines that support full funnel analytics * Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk * Create executive ready visualizations and dashboards that drive alignment and action among stakeholders * Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle * Provide recommendations to improve user experience and conversion and overall product performance and track realized impact * Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods Requirements: * 5+ years as a data scientist or in a similar role with a focus on product analytics * High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling * Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing and product experimentation * In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling * Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations * Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business Bonus Points: * Master’s or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related) * Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement * Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $160K - $220K

Job DescriptionAbout the Company Made’s mission is to help homeowners save time, money, and stress. It starts with Made Card - a credit card designed specifically for homeowners, with unmatched rewards on mortgage payments, home improvements, utilities, and essential purchases. Each swipe powers a personalized home management platform where users can manage home systems & appliances, stay ahead on upkeep, and get help - from AI-driven guidance to in-person services - exactly when they need it most. By bringing together financial tools, data, and trusted professionals, we give people more control, more savings, and more time to enjoy the place they call home. We’re partnered with leading national players in the residential homeownership space - from mortgage lenders to home services providers. These partnerships let us reach millions of households across the country and deliver meaningful benefits to homeowners. Backed by top investors like Village Global, Jump Capital, Recharge Capital, and Soma Capital, our leadership team brings deep fintech, mortgage, and credit card experience from Ramp, Bain Capital, JP Morgan Chase, American Express, and Morgan Stanley. We’re building the financial and engagement platform for the next generation of homeowners - one that puts the homeowner at the center, and redefines what it means to feel at home. About the Role We’re looking for a Staff Backend Engineer to lead the architecture, development, and scaling of backend systems that power the Made Card and homeowner platform. You’ll set engineering standards, mentor teammates, and collaborate cross-functionally to deliver secure, performant, and reliable services at scale. As one of the most senior backend engineers on the team, you’ll play a critical role in defining technical strategy and building the infrastructure to support millions of homeowners. What You’ll Do * Backend Ownership: Lead the design and development of highly scalable backend services and APIs using Python. * Architecture & Standards: Define backend architecture, coding standards, and processes for rapid, high-quality delivery. * Database & Systems: Design and optimize data models using Postgres, DynamoDB, and Redis for performance and reliability. * Infrastructure: Drive adoption of best practices with Kubernetes, Docker, and AWS for deployment, monitoring, and scaling. * Feature Delivery: Collaborate with product, design, and frontend engineers to deliver end-to-end features. * Performance & Security: Ensure backend systems are performant, secure, and resilient under scale. * Team Leadership: Mentor other backend engineers, conduct code reviews, and raise the engineering bar. * Cross-Functional Collaboration: Communicate trade-offs, technical decisions, and progress clearly to stakeholders across product and leadership. Ideal Background * 5–8+ years in front-end engineering, with 3+ years in a lead or senior capacity. * Deep expertise in Python and distributed systems. * Strong experience with Postgres, DynamoDB, Redis, and database modeling. * Proven track record building reliable, large-scale backend services and RESTful APIs. * Proficiency with Kubernetes, Docker, and AWS infrastructure. * Strong computer science fundamentals in algorithms, data structures, and system design. * Demonstrated leadership in mentoring engineers and setting team-wide standards. * Excellent collaboration and communication skills across technical and non-technical stakeholders. We understand that not everyone comes from a traditional background. If you are a rockstar with a non-traditional path, we'd love to talk to you! Nice to Have * Experience in fintech, credit cards, or regulated financial products. * Familiarity with event-driven architectures, streaming, or microservices. * Exposure to CI/CD pipelines, automated testing, and monitoring tools. * Passion for building financial products that improve people’s lives. Why Join Made Now You’ll be one of the most senior backend engineers on a team building the financial infrastructure for millions of homeowners. This is a rare opportunity to shape the architecture, technical direction, and engineering culture of a product redefining homeownership - while staying hands-on with critical systems. Benefits * Base Compensation Band: $150,000–$200,000 (determined by experience, qualifications, and location) * Compensation: Competitive salary with a meaningful stake in the company via equity, and 401k plan * Health & Well-being: We’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits * Grow Together: Company-wide orientation for you to successfully onboard and other learning & development opportunities including regular review cycles that feature 360 degree feedback * Mortgage Benefit: Receive up to $25,000 toward closing costs of a new mortgage via our mortgage partners * Play Together: Quarterly budgets for team and company outings. Use it for team swag, cooking classes, or team dinners! * Generous Time Off: Flexible paid time off, sick days, and 11 company holidays Throughout the interview process, please remember that emails will only be from madecard.com emails. We won't ever be asking for any personally identifiable information during the interview process itself. Please reach out to if you have any requests to verify the authenticity of an outreach. Made Card 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. Made Card makes hiring decisions based solely on qualifications, merit, and business needs at the time. Compensation Range: $150K - $200K

Job Description CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview As a Senior Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted analytics, cloud infrastructure, and data ingestion pipelines that power our customer-facing applications and internal modeling platforms. This role is well-suited for an engineer who enjoys working close to the data and infrastructure layers, has strong architectural judgment, and is excited to operate across AI systems, databases, and distributed backend services. You will take ownership of complex systems, drive major technical migrations, and help shape how intelligence is embedded into industrial energy workflows. You will collaborate closely with product, modeling, and frontend engineers, and you will have significant influence over platform direction, reliability, and long-term scalability. Key Responsibilities As a Senior Software Engineer, you will contribute across several interconnected areas: Intelligent Systems • Map customer domains and operational workflows into effective prompts and AI system interfaces, • Design, execute, and iterate on evals for AI outputs, • Incorporate customer feedback and reinforcement signals to improve system behavior, • Refine context selection, retrieval, and trace collection to improve output quality, • Fine-tune smaller models using collected traces to reduce latency while preserving performance, • Evaluate and integrate new AI platforms and models as they become available, • Support training and deployment of large, time-series-focused modelsBackend Platform & Data Infrastructure, • Lead migrations and upgrades of our time-series data schemas and storage engines, • Upgrade and maintain PostgreSQL and related database infrastructure, • Develop and maintain data connectors for industrial and third-party systems, • Lead MQTT-based data ingestion pipeline improvements, • Transition PostgREST to GraphQL-based framework and evolve our API architecture, • Improve TigerData to next-gen time series design and simplify multi-tenant provisioning workflowsDatabase & Analytics Systems, • Optimize performance and reliability of high-volume time-series data stores, • Design and execute architecture plans for TigerData, • Augment analytical workloads using Parquet and/or Iceberg-based storage formats, • Balance real-time and historical query performance across operational and analytical use casesModeling Platform Support, • Improve and consolidate internal machine learning systems, • Enable parallelized and distributed model training workflows, • Implement message brokers and orchestration mechanisms for multi-stage learning pipelines, • Improve reproducibility, traceability, and coordination across modeling stagesReliability & Developer Experience, • Strengthen cloud infrastructure uptime, observability, and deployment reliability, • Standardize build, test, and release processes across services, • Improve developer tooling and internal platform ergonomics, • Port backend services from bun to Node.js where appropriate, • Track and improve DORA metrics (deployment frequency, lead time, change failure rate, recovery time) Our current technology stack includes Python, TypeScript, Supabase, PostgreSQL, MQTT, TigerData, InfluxDB, AWS, and GitHub-based CI/CD workflows. A strong candidate will bring: • A relevant engineering degree or equivalent professional experience with a strong computer science foundation, • 5+ years experience building and operating production backend systems, • Strong proficiency in Python and/or TypeScript for backend development, • Experience with databases, especially PostgreSQL and time-series or analytical data stores, • Familiarity with event-driven systems, streaming data, or message brokers, • Experience designing or supporting AI/ML systems in production is a strong plus, • Comfort working on infrastructure, data pipelines, and evolving system architectures, • Strong communication skills and the ability to collaborate in a high-ownership environment, • Experience working in a startup or fast-moving product organization, • Willingness to travel occasionally to customer sites to understand real-world constraints CVector provides team members with: • A competitive compensation package with meaningful equity upside, • A robust selection of health, dental, and vision insurance options, • Optional Health Flexible Spending Account (FSA), • Unlimited PTO with a three week minimum per year, plus additional sick days, • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack, • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better, • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable The anticipated base salary range for this role is $125,000 to $150,000. Why This Role Matters at CVector This role sits at the intersection of AI systems, time-series data, and real-world energy infrastructure. Your work will directly impact system reliability, customer trust, and CVector’s ability to scale intelligent energy management across industries. If you enjoy solving deep backend problems, shaping platform foundations, and embedding intelligence into physical systems, this role offers both technical challenge and real-world impact.