Top Software Data Science Jobs

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

The Data Scientist will analyze large datasets using statistical software to identify insights and present findings to stakeholders, manage projects, and apply machine learning techniques.

The Senior Manager, Data Analytics leads global Supply Chain analytics, producing insights, managing dashboards, and guiding a team of analysts to drive data-driven decisions across the organization.

Lead and hands-on manage a product Data Science team focused on app experience and data marketplace. Drive AI-native deliverables (agentic services, semantic views), validate AI/ML and LLM outputs, build POCs, mentor teammates on DS and governed generative AI usage, partner with product and engineering stakeholders, and grow team impact and hiring.

Lead data science for defense clients: perform data engineering, mining, exploratory/predictive/statistical analysis; build ML/AI tools (recommendation engines, automated scoring); manage large, disparate data sources using R/Python/SQL; create visualizations in Power BI/Tableau; support Multi-INT analytics and provide senior-level analytic products for the defense cover program.

Build and own the analytics pipeline and semantic layer, define canonical product and business metrics, evaluate AI/agent performance, support pricing and profitability analysis, design dashboards and quality checks, translate ambiguous questions into analyses, and hire/scale the data team.

Own high-impact data science and operational decision problems across pricing, routing, fleet utilization, charging, experimentation, and network planning. Build machine learning, statistical, optimization, forecasting, and simulation models; design experiments and causal studies; partner with engineering to productionize decision systems; monitor model and KPI performance; and communicate recommendations that improve reliability, utilization, customer experience, and unit economics.

Own Data, Cloud & AI coverage using a proprietary dataset to produce forward-looking, data-driven research. Analyze trends across AI/ML operations, databases, data integration, governance and cloud infrastructure; produce client-facing insights, thought leadership, and collaborate with product and engineering to improve research methodology and platform fidelity.

As a Data Scientist Level 3, you will apply data science expertise to national security challenges, develop analytical tools, and communicate insights effectively to diverse audiences.

Design and maintain multilingual datasets, develop data pipelines, implement quality filters, and analyze dataset biases while collaborating with researchers.