Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and deploy AI/ML models and analytics tools to optimize Caterpillar’s remanufacturing operations using Python, Snowflake, and Power BI.
Builds and deploys AI-driven demand and price response models for fuel/convenience retail pricing, designing experiments, mentoring teams, and ensuring production model quality.
Remote biomarker data scientist maintaining R-based analysis pipelines, managing data operations/QC, and supporting AI-assisted coding workflows for clinical trial biomarker data at a large CRO.
Data Scientist implementing end-to-end AI/ML projects (training, deploying, ETL, visualization) for a global paint and coatings manufacturer, working with domain experts and using Python, SQL, PyTorch, and TensorFlow.
Data Scientist applying machine learning, AI, and advanced analytics to generate business insights from diverse data sources at Roche Diagnostics in Indianapolis.
Data Scientist on Amgen Ohio's manufacturing data science team, building dashboards, scalable data pipelines, and ML solutions for manufacturing, supply chain, and IIoT use cases using Python, SQL, and Databricks.
The Lead Data Scientist will architect and develop autonomous AI agents capable of goal setting and decomposition for healthcare applications. The role involves designing planning systems, implementing evaluation frameworks, and ensuring agent reliability using technologies like Python, PyTorch, LangChain, and large-scale ML pipelines.
Data Scientist II building ML, NLP, and generative AI systems for clinical and scientific knowledge discovery and evidence extraction at Elsevier, using Python, LLMs, and standard ML/data science libraries.
Lead AI and data science strategy across ML, NLP, search, and generative AI to build advanced knowledge-discovery systems for Elsevier's healthcare education and scientific research products.
Hands-on delivery leadership role embedding AI, generative AI and LLM methods into supply chain analytics workflows at Applied Materials, using SQL, Python, Databricks and enterprise MLOps platforms to turn manual analyses into governed, automated tools.
Lead a team of data scientists to build and deploy ML models, analyze business performance, and set research priorities for Amazon’s AI-driven products.
Data Scientist II building predictive models for Amazon's Risk and Compliance team, using AWS services (Redshift, SageMaker, Lambda, QuickSight) and GenAI to score which risks and control weaknesses convert to breaches in financial crime compliance.
Data Science Analyst co-op/intern on BMO's Audit AI & Analytics team, using SQL, Python, and Power BI alongside AI/ML and LLM tools to mine data, build predictive models, and deliver end-to-end analytics solutions for business stakeholders.
Develops and deploys AI-powered legal tools by designing experiments, evaluating LLM/ML models, and prototyping agentic systems for legal research, drafting, and decision-making.
Design and build production NLP pipelines extracting entities, claims, and summaries from scientific text, own model evaluations end-to-end, and contribute to agentic AI applications using Python, LLMs, and orchestration tools like Airflow and Dagster.
Develops and deploys advanced statistical models and machine learning solutions to solve HR-related business challenges for SMB clients, mentors team members, and collaborates with cross-functional teams to drive data-driven decisions.
Leads AI/ML model development and MLOps for predictive, prescriptive, and generative solutions while managing client engagements and program governance.
VP leading applied AI, data science, and commercial intelligence strategy and teams at Novartis, building AI/ML platforms and GenAI/LLM solutions to drive commercial and business outcomes in pharma.
Lead a Data Science & AI team at Synchrony Financial, prototyping and evaluating Generative AI and Agentic AI solutions (RAG, workflow automation, agentic orchestration) across AWS/Azure/GCP while driving readiness assessments and cross-functional delivery.
Develops and maintains biomarker data analysis pipelines, R packages, and tools for operational tracking in clinical trials, using R, SQL, and AI-assisted workflows.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
