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Data Scientist (Machine Learning)
About the Role We are seeking a Data Scientist (Machine Learning) to develop and deploy advanced analytics and machine learning solutions that support business operations and digital transformation initiatives. The…
Mid-Level Software Engineer
Build and maintain data-processing tools for national security using Python, SQL, and modern frontend stacks to support cyber operations and analyst workflows.
Analytics Engineer
Build and productionalize enterprise data sets from scratch to power analytics and strategic decisions, using SQL, Python, and cloud platforms like Snowflake or BigQuery.
Epidemiologist Data Scientist
Builds and refines statistical and ML models to estimate disease prevalence and inform public-health policy using R, Python, SQL, and large health datasets in Snowflake and Databricks.
Data Scientist Lead
Lead a team building AI models for document understanding, including image classification and text extraction from scanned healthcare documents using PyTorch, TensorFlow, and AWS SageMaker.
Snr AI & ML Engineer
Senior AI/ML Engineer builds and deploys production-grade AI solutions for financial services, including LLMs, RAG pipelines, and agentic workflows using Python, cloud platforms, and MLOps practices.
Senior Data Scientist
Build AI-driven insurance models using machine learning and advanced statistics to solve real-world customer and business problems in a cutting-edge R&D lab.
Manager HIL Test Systems
At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we…
US Rates Strategy – Analyst
Analyst builds Python/Excel tools and writes research notes on US Treasuries, TIPS, and Agency markets for JPMorgan’s front-office rates strategy team.
Senior Software Engineer
Build cloud-based data platforms and tools for biopharmaceutical R&D, using Python, JavaScript/TypeScript, React, AWS, and data stacks like Pandas and Airflow to accelerate drug development.
Data Analyst
Analyze military data to extract insights, build dashboards in Tableau, and advise DoW clients on IT improvements using Python, SQL, and Databricks.
Principal Analyst, Operations and Health Systems Research
Lead data-pipeline and forecasting-model development to optimize clinical-trial operations using real-world health data, machine learning, and operations research.
Full-Stack Data Engineer
FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who possesses a strong…
Vice President – Data Scientist Lead (LLM/GenAI)
Lead generative AI and LLM projects for JPMorgan Chase, building retrieval-augmented systems, evaluations, and production pipelines using Amazon Bedrock and Cortex to improve banking operations.
Machine Learning Engineer II
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power research and insights.
AI/ML Engineer | Talent Marketplace
Design, build, and deploy ML models and AI systems for a global talent marketplace, spanning data prep to production monitoring using Python, TensorFlow/PyTorch, and MLOps tooling.
Lead Data Scientist, Cat Digital
Lead a team of data scientists to build predictive models and analytics for Caterpillar’s heavy equipment business, using machine learning and time-series forecasting to drive demand planning and aftermarket solutions.
Analyst 3, Business Intelligence
Build and maintain BI dashboards in Power BI/Tableau, analyze healthcare data, and partner with teams to turn complex datasets into actionable insights for a global medical technology company.
Machine Learning Engineer II
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power generative AI applications in finance.
Manager, Data Engineering
Build and maintain ELT pipelines for paid media data across 26+ ad platforms using GCP, dbt, and Python, ensuring scalable ingestion and transformation for global clients.