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.
Builds and deploys AI/ML models and data pipelines to analyze VA healthcare/benefits data, optimize workflows, and support decision-making for government IT solutions.
Leads data governance for VA systems, ensuring compliance, quality, and security across benefits platforms by designing frameworks, managing metadata, and optimizing data usage.
Develops decision support tools and dashboards using satellite image classification and geospatial modeling. Involves Google Earth Engine, Python/R, machine learning pipelines, and ground truth data collection.
Senior Fullstack AI Engineer builds and deploys scalable AI solutions, trains ML models, and integrates them into full-stack applications using Python, Java/Scala, and cloud platforms.
Analyze business data, build dashboards, and automate reports using Python, SQL, and BI tools to deliver insights that guide company decisions.
Senior Data Scientist leading end-to-end predictive modeling and ML efforts for Deloitte's Government & Public Services practice, building AI-powered population insight solutions using statistical modeling, SHAP, and LLM/RAG techniques while mentoring a team of data scientists.
Solutions Architect who scopes AI/data problems with business stakeholders, designs the system, then personally builds and ships the first working version using Python, SQL, LLMs, and cloud data platforms (Snowflake, BigQuery) on top of proprietary social data infrastructure.
The Senior Business Data Analyst acts as a bridge between business stakeholders and engineering teams to design and operationalize scenario planning and predictive modeling frameworks. The role involves translating business requirements into technical logic for data platforms to support enterprise-wide decision-making.
The Technology Product Manager will lead the end-to-end product lifecycle for ABB's digital platform, focusing on Industrial IoT, AI, and analytics solutions. The role involves defining product strategy, managing backlogs, and collaborating with global stakeholders to drive adoption of digital industrial software.
Data Scientist on JPMorgan Chase's Business Banking Client Analytics team, using Python, SQL, Snowflake, and Databricks to build predictive models and deliver data-driven strategic insights to senior leaders.
As a digitally automated clinical supply chain solution, Cardinal Health™ WaveMark™ Solutions leverages predictive modeling and automated inventory management — coupled with expert support services — to empower health…
Design, develop, deploy, and maintain data pipelines, data warehouses, and DataOps infrastructure using big data tools (Spark, Airflow, Hive) and programming languages (Java, Python, SQL) for an aerospace, defence, and security company.
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team…
Validate financial risk models, ML models, NLP models, and generative AI solutions at Desjardins, assessing robustness, explainability, bias, and regulatory compliance using Python, SQL, SAS, or R.
Job Title: Senior Analyst – Pharma Analytics – OBU Career Level: D1 Introduction to role: Are you ready to turn complex healthcare data into decisions that accelerate access to life-changing medicines? Based in…
Leads a predictive research team of data scientists and biostatisticians, applying advanced machine learning and biostatistics to model biological, clinical, and industrial data for pet nutrition R&D.
Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering an exciting new…
Lead Data Analyst driving marketing strategy and campaign optimization at Vanguard using SQL, Python, Tableau, and statistical modeling to translate complex data into actionable insights and influence senior stakeholders.
Lead the design, development, and deployment of production-grade generative and agentic AI systems at a large financial services firm, using AWS, RAG architectures, vector databases, and LLM orchestration tools while bridging business stakeholders and engineering teams in Dallas.
Data Scientist building real-time, low-latency AI tools using LLMs and NLP to assist call center agents across voice and messaging channels.
We couldn't check your fit for this role — add a CV to your profile to see it next time.