AI & Data Architect Carlyle Group Inc.AI & Data ArchitectNew York, NY$200,000–$220,000 / yearArchitect and guide the implementation of modern data and AI pipelines using tools such as dbt, Fivetran, Apache Iceberg, Snowflake, and Databricks, alongside MLOps/LLMOps platforms, AI gateways, feature stores, and vector databases (e.g., MLflow, Databricks Vector Search, pgvector, Pinecone). In the first 12 months, this role will help define Carlyle's target-state data and AI architecture, establish reusable patterns for retrieval and semantic access, strengthen governance for AI-consumable data, and guide priority AI and data initiatives from architecture through execution.
VP of Data ButterflyMX IncVP of DataNY$250,000–$300,000 / yearWe need a hands-on executive who has built at our scale before, can challenge architecture decisions, understands the business deeply, and remains close enough to the work to inspect models, write code, prototype agents, and help solve difficult problems personally. This is a highly visible leadership role reporting directly to the CTO, with four initial direct reports and broad influence across Product, Engineering, Sales, Marketing, Customer Success, Finance, Operations, and Executive Leadership.
Senior Configuration Engineer (Hybrid) Merck & Co IncSenior Configuration Engineer (Hybrid)Rahway, NJ$117,000–$184,200 / yearRequired Skills: Analytical Acumen, Biopharmaceutical Industry, Computer Science, Cross-Functional Collaboration, Data Analytics, Data Format, Data Model Design, Data Modeling, Data Quality, Data Science, Design Changes, Digital Transformation Initiatives, Enterprise Data Modeling, Informatics, Innovation, Intellectual Curiosity, Interpersonal Interactions, New Product Introduction (NPI), Pharmaceutical Sciences, Software Configurations. This role sits within the Digital Insights team which is working to digitally enable a decision engine for DSCS, by innovating solutions through strong partnership in the domains of Data Science, Data Analysis, Informatics, Multi-Omics, Predictive Science, and Data Engineering.
Quant Developer — Full-time Anthelion CapitalQuant Developer — Full-timeNew York City, New York$120,000–$240,000 / yearNice to have: Dagster/Prefect, Azure, model-registry or feature-store experience, prior work at a quant/trading firm or a serious data platform, hands-on risk-modeling or portfolio-construction experience. You'll build and own the infrastructure our researchers and PMs depend on — the shared data layer, the backtester, the deployment path, and the monitoring that keeps live models honest.
Senior Plasma Control Engineer Thea EnergySenior Plasma Control EngineerKearny, New Jersey$120,000–$160,000 / yearIf you can develop plasma control algorithms that are robust, constraint-aware, and ready for experimental operation, covering scenario design, supervisory control, and closed-loop regulation of core profiles, edge and divertor regimes, and off-normal response, we would like to hear from you. This role sits in the Electrical Engineering and Controls Systems (EECS) team and works day to day with plasma physics, diagnostics, and plant control engineers to bridge plasma physics objectives with plasma control and plant control implementation.
Quantitative Analyst - In-Business Risk Team - VP, New York Citigroup Inc.Quantitative Analyst - In-Business Risk Team - VP, New YorkNew York, NY$175,000–$250,000 / yearThe front office Market Quantitative Analysis (MQA) is looking for a quantitative analyst in the In-Business Market Risk MQA team, focusing on Equities, working along with trading and in-business risk managers in managing market risk metrics and capital. Responsibilities: Some key responsibilities include: Build advanced analytical tools and applications including AI powered apps, for the business and traders' use to assess market risk, stress loss and capital metrics, and to develop efficient portfolio level hedge strategies.
Deals Services - Manager, Strategic Finance and FP&A, Advanced Decision Modeling RSM US LLPDeals Services - Manager, Strategic Finance and FP&A, Advanced Decision ModelingNew York, NY$112,100–$225,500 / yearThe salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. Develops and reviews complex, fully integrated financial models, including operating, cash flow, valuation, and transaction models, to support strategic decision-making.
Data Engineer And Agentic AI Lead Garan, IncorporatedData Engineer And Agentic AI LeadNew York, NYThis role is essential for Garan Apparel's enterprise data transformation, integrating Azure and Microsoft Fabric with best practices in data, security, AI readiness, and team collaboration—while ensuring that every user, from executive to analyst, can understand, trust, and act on data with confidence. This role is responsible for developing robust data pipelines, implementing Medallion architecture (Bronze, Silver, Gold layers), and ensuring high-quality, analytics-ready datasets.
Senior Data Scientist- Pricing & Underwriting AltSenior Data Scientist- Pricing & UnderwritingNew York City, NYCollaborate with the Expert Pricing team and domain experts to encode market nuances into automated features and inferences, ensuring our models respect the qualitative factors collectors care about. Collaborative experience working in a sprint-based environment alongside Data and ML Engineers; you understand enough about model hand-offs and quality code to ensure your models are efficient and readily "production-capable".
Principal Product Manager Microsoft CorpPrincipal Product ManagerNY$139,900–$274,800 / yearThe Azure High Performance Computing & Artificial Intelligence (HPC & AI) compute platform team defines and delivers the hardware roadmap, software, and services that enable our users to run technical computing workloads in Azure - extreme scale AI training and inference including large language models, traditional HPC modelling and simulations, remote visualization, and immersive gaming experiences. Provides expertise to partners (e.g., Data Science, SWE, HWE, User Research) to collect performance metrics (e.g., key performance indicators [KPIs] such as engagement, usage, acquisition, revenue, and in-project features), monitor model deployment and report on progress (e.g., business reviews), and derive deep insights and drives productive courses of action across teams to improve product/feature development, iteration, AI integration, and implementation.
Senior Director, Clinical Operations - Portfolio & Resource Operations (Hybrid) Merck & Co IncSenior Director, Clinical Operations - Portfolio & Resource Operations (Hybrid)Rahway, NJ$173,200–$272,600 / yearOperational Governance, Execution, & Cross-Functional Alignment: Oversees capacity modeling, forecasting methodologies, and works proactively across GDMS functional areas and business partners to manage risks aligned with business, financial, and operational objectives; serves as an escalation point for issues arising within or across GDMS functional areas. In collaboration with process owners and GDMS functional area leadership, defines strategically and operationally relevant GDMS performance and quality indicators; facilitates operations reviews; and aligns GDMS metrics with broader GCTO control towers for visibility.
Project Manager (Remote) Next Generation IncProject Manager (Remote)New York, NYRemote$75–$85 / hourCreate supporting deliverables including PowerPoint presentations, progress/status reports, and documentation packets. Utilize ARIS (preferred) and MS Visio (required) to create business process diagrams and flowcharts.
Data Engineer and Agentic AI Lead Garan, IncorporatedData Engineer and Agentic AI LeadNew York, NY$150,000This role is essential for Garan Apparel's enterprise data transformation, integrating Azure and Microsoft Fabric with best practices in data, security, AI readiness, and team collaboration—while ensuring that every user, from executive to analyst, can understand, trust, and act on data with confidence. This role is responsible for developing robust data pipelines, implementing Medallion architecture (Bronze, Silver, Gold layers), and ensuring high-quality, analytics-ready datasets.
Schmidt Observatory System Postdoctoral Fellows Schmidt SciencesSchmidt Observatory System Postdoctoral FellowsNew York, New York$100,000–$130,000 / yearThe organization prioritizes research in areas poised for impact including AI and advanced computing, astrophysics, biosciences, climate, and space—as well as supporting researchers in a variety of disciplines through its science systems program. Schmidt Sciences is a nonprofit organization founded in 2024 by Eric and Wendy Schmidt that works to accelerate scientific knowledge and breakthroughs with the most promising, advanced tools to support a thriving planet.
Electrical Engineer (Data Centers) JobotElectrical Engineer (Data Centers)New York, NY$125,000–$165,000 / yearInformation collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. Develop and maintain detailed electrical system models of Medium Voltage and Low Voltage distribution system in SKM, consisting of UPS systems, generators, paralleling gear, PDUs, RPPs, and dual fed distribution.
NewJava Python Agentic AI Developer Kforce Inc.Java Python Agentic AI DeveloperJersey City, NJ$65–$100Summary: As an Agentic AI Software Engineer, you will design and build critical technology solutions across Chase AI components, including Company Agent, Agent Operating Memory, Domain Agents, Agentic Experience Service, and Assurance. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Data Modeler Madison-DavisData ModelerJersey City, NJ$75Build and refine predictive models that support insider risk and cyber-related use cases. Operate within Databricks and distributed processing frameworks to support advanced analytics.
Research Associate II Life Sciences & Diagnostics Stifel Financial CorpResearch Associate II Life Sciences & DiagnosticsNew York, NYBuild and maintain Excel-based financial models, including income statements, balance sheets, cash flow statements, and discounted cash flow analysis. Economics, Accounting, Finance, and Securities Analysis - Knowledge of economic, accounting, and financial principles and practices, the financial markets, the industry, the analysis and reporting of financial data, and associated terminology.
Director, Quantitative Pharmacology and Pharmacometrics - Oncology Merck & Co IncDirector, Quantitative Pharmacology and Pharmacometrics - OncologyRahway, NJRemote$190,800–$300,300 / yearDeveloping and executing model-based analyses including translational PK/PD approaches, population pharmacokinetic models, exposure-response models, clinical trial design simulation, disease progression models, quantitative systems pharmacology (QSP) modeling, and comparator modeling. A. Maintaining a comprehensive understanding of global regulatory expectations for small molecules and biologics in Oncology, authoring regulatory documents (investigational new drugs/INDs, clinical study reports (CSRs), clinical trial applications (CTDs), and representing QP2-IO at regulatory meetings.
Senior Research Engineer - Safety Tooling and Data CohereSenior Research Engineer - Safety Tooling and DataNew York, NY$270,000–$380,000 / yearActual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience: United States: For candidates based in New York, the compensation range is: $270,000 - $380,000. You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour.