Top Software Data Science Jobs

Onsite Data Scientist supporting intelligence-focused analytics and product development. Build Power BI dashboards, manipulate data with Python/SQL, create visualizations and lightweight web apps, communicate findings to nontechnical audiences, and translate customer requirements into specifications.

Own revenue and product analytics: build KPIs, dashboards, dbt-style data models, run product/usage experiments, partner with GTM, and deliver executive insights to scale revenue operations.

Turn raw customer supply-chain data into structured representations and models. Interpret and contextualize noisy data, form and test hypotheses, build inference, regression, simulation and optimization logic, validate model quality in production, and translate scientific requirements into engineering specifications while collaborating with data engineers and supply-chain experts.

Lead data and reporting infrastructure for portfolio companies, perform ad-hoc analysis and predictive modeling, build reusable IP, conduct portfolio-level marketing/sales/customer success analysis, and evaluate/implement AI tools across the firm and its portfolio.

Review and annotate Chinese text and images to train AI: draw bounding boxes, answer structured questions, write short summaries, and follow annotation guidelines. Remote, long-term contract (minimum 6 months), 30–40 hours/week, paid hourly with a short language assessment required.

The Data Scientist will analyze workforce data to support job reclassification, utilizing advanced analytics, NLP, and machine learning techniques.

Build and maintain large-scale systems to extract, connect, retrieve, and reason over web knowledge. Implement petabyte-scale data pipelines, optimize for correctness/reliability/scale, and improve data quality to power factual QA and search.

The Data Scientist will analyze geospatial data, communicate insights, collaborate with teams, and enhance data processes to support national security missions.

The Principal Applied Scientist will lead advanced analytics and ML models for finance, collaborating with various departments to drive financial insights and improvements.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.