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.
Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries , built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than…
Baseten, an AI inference infrastructure company, is hiring a Revenue Analyst in San Francisco to build the data foundation behind revenue and usage reporting. Day to day: build production dbt models and dashboards connecting Salesforce/CPQ, contracts, Orb billing and product usage, reconcile metered usage to billed revenue, and support monthly close and forecasting.
JumpCloud is hiring a Staff Data Scientist to architect machine learning solutions, develop LLMs, and build an AI stack that automates data analytics workflows for its unified IT management platform. Day-to-day work spans Python, SQL, MLOps, RAG, AI agents, and real-time model deployment in a remote role based in India.
Builds and validates predictive models and statistical analyses to improve quality, accelerate growth, and optimize operations in a regulated pharmacy environment using Python, SQL, and cloud platforms.
Data Analyst at a Brazilian digital bank, turning credit and collections data into actionable insights to drive business decisions using SQL, BI tools, and statistical analysis.
A hands-on senior data scientist who designs, builds, and maintains data pipelines, data models, and production-grade analytics/ML solutions in Palantir Foundry for aerospace engineering and manufacturing operations. Core stack is Python, SQL, and ML/MLOps, with strong emphasis on traceability, security, and configuration control.
Data Scientist on Love Justice International's Impact Engineering team, building statistical and predictive models to support anti-trafficking operations, child programs, and impact measurement. Day-to-day is data analysis, modeling, and reproducible workflow development, mainly in Python or R, based in Ballito, South Africa.
Senior individual-contributor data scientist at Strava (San Francisco, hybrid 3 days/week on-site) who designs measurement strategies for complex initiatives using experimental and quasi-experimental causal methods, evolves company-wide metric strategy, and serves as the inference domain expert across the data org. Core tools: SQL and Python.
I IDAs afdeling Digital Udvikling, Arkitektur & BI søger vi en erfaren dataprofil, der trives i krydsfeltet mellem data science, data engineering og forretning. Du får en central rolle i vores transformation fra en…
Ameritas Life is seeking a Data Science and Generative A.I. Focused Intern to drive the business through exposure to cutting-edge Generative AI solutions that harness the power of natural language processing (NLP),…
A long-term remote contractor role for a Data Scientist in Argentina, collaborating with a research team on applied AI, GenAI/RAG infrastructure and tooling, building practical tools and contributing to open-source projects. Core stack is Python, backed by solid math foundations.
Data engineering role at a health & pet insurance-assistance company, working closely with the CIO on the data platform: SQL Server/MySQL/ETL pipelines, Power BI dashboards, Power Automate automation, plus functional evolution of two corporate web apps. Fully remote, Spanish-speaking position with immediate start.
Senior Data Scientist on Asaas's Data & AI team, building and productionizing machine learning models for transactional financial fraud prevention, with a strong MLOps focus: real-time and batch model serving, monitoring, and scaling to high transaction volumes using Python, SQL, Spark, MLflow, and Databricks on AWS.
Principal data scientist on Microsoft's Copilot/MAI Ecosystem Data Science team: defines North Star metrics, experimentation frameworks, and causal-inference analyses that guide AI product and investment decisions, partnering with product, engineering, and executive leadership. Core toolkit: Python/R/C++/Java/C#, statistics, experimentation.
Data Science Specialist at footwear brand Camper in Inca (Mallorca), Spain: owns the full ML project lifecycle — designing, validating and monitoring predictive models — while auditing vendor-built Python/SQL/GCP solutions and explaining results to business stakeholders. Requires 2+ years in data science/ML engineering.
Develops advanced models and algorithms for detecting, attributing, and quantifying trace gases/emissions using spectroscopic data; bridges research and engineering to improve Picarro’s industrial emissions monitoring solutions.
Builds and runs incrementality measurement, LTV/CAC frameworks, and geo-based experiments to optimize Waymo’s paid media and growth marketing spend.
The Opportunity We believe that a disruptive insurance company must have a principled quantitative framework at its foundation. At Root, we are committed to the rigorous development and effective deployment of modern…
A dual-study program (Duales Studium) in Business Information Systems with a Data Science focus at Lidl, starting September 1, 2027 in Neckarsulm, Germany. Students alternate academic study with hands-on IT work at the retailer, beginning with a paid onboarding month at Lidl Stiftung.
Mid-level Data Scientist on Asaas's Data & AI team, building and evolving the company's credit risk predictive intelligence end-to-end — from problem definition with Product/Ops to production deployment, monitoring (data/concept drift), and AI agents. Core stack: Python, SQL, Spark, machine learning/statistics, with remote work across Brazil.
We couldn't check your fit for this role — add a CV to your profile to see it next time.