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.
Analyze military data to extract insights, build dashboards in Tableau, and advise DoW clients on IT improvements using Python, SQL, and Databricks.
Design and maintain scalable data marts and ELT pipelines using DBT, Fivetran, and SQL to power analytics for e-commerce and logistics platforms.
Design and solve complex, real-world data science problems in Python and SQL to train and improve generative AI models for diverse industries.
Build and deploy AI agents for process optimization in banking, focusing on NLP tasks like semantic search, classification, and LLM fine-tuning (SFT, RAG) using Python and frameworks like PyTorch and LangChain.
Build, train, and deploy ML/DL models (including computer vision) to solve business tasks, focusing on data prep, feature engineering, and production monitoring.
Build and maintain scalable data pipelines, ETL/ELT workflows, and Tableau dashboards to transform raw data into actionable insights for clients.
Senior data scientist building AI/ML models (including LLMs) to extract insights from complex datasets for government clients, translating findings for leadership.
A co-op student role analyzing datasets, building predictive models, and creating dashboards to support business decisions using Python/R, SQL, and visualization tools.
Build and maintain enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI to power executive dashboards and self-service reporting for a global logistics company.
团队介绍：数据工程与平台团队旨在实现人类知识与经验向模型能力的加速迁移。我们从真实场景出发，通过模型短板识别、高质量数据定义、规模化数据生产，提升模型能力。与此同时，团队还致力于依托训练反馈，反哺数据设计，推动系统迭代，构建业内一流的数据工程能力与平台。 日常实习：面向全体在校生，为符合岗位要求的同学提供为期3个月及以上的项目实践机会。…
Build and maintain enterprise Power BI dashboards, automate financial reporting with Python, and deploy AI/ML models to deliver strategic insights for sales, marketing, and finance teams.
Analyze fraud trends, build dashboards, and automate metrics for an anti-fraud system using SQL, Python, and BI tools.
Analyzes fraud trends and builds dashboards in QlikSense to detect anomalies and support data-driven anti-fraud decisions using SQL, Python, and BigData tools.
Lead advanced ML and causal-inference modeling to drive strategic decisions, mentor data scientists, and communicate insights to senior stakeholders at Microsoft.
Leads advanced data science and causal inference for Microsoft’s customer support AI systems, designing experiments, mentoring teams, and advising executives on high-stakes technical decisions using Python, SQL, and ML frameworks.
Build and deploy AI/ML models and data pipelines to extract insights from structured and unstructured data for government clients, using Python, SQL, and visualization tools.
Analyze diverse datasets to uncover trends and anomalies, build statistical models, and produce insights for strategic decisions using SQL, Python libraries, and visualization tools.
Build and maintain scalable AWS data pipelines, integrate diverse data sources, and collaborate with teams to ensure high-quality, governed data for strategic decisions using Python, Spark, and DevOps tools.
Build and tune ML models (LLMs, CV) to extract insights from intelligence data for special operations decision-makers using Python, TensorFlow, and PyTorch.
Develop simulation tools in Java, C++, or Python for U.S. Space Force command and control analysis, integrating data mining and ML to enhance modeling accuracy and performance.
We couldn't check your fit for this role — add a CV to your profile to see it next time.