Top Software Data Science Jobs

The Data Scientist will manage the data science lifecycle, collaborating with teams to create predictive models, analyze complex problems, and communicate insights to stakeholders.

Drive and lead research initiatives in statistical arbitrage, develop computational methods, and explore new methodologies in quantitative finance.

The VP of Data will lead data strategy and architecture, manage data engineering teams, and drive data-driven decision making across the organization.

Senior data scientist role focused on industrial manufacturing analytics: build scalable cloud data pipelines, develop and deploy ML models for predictive maintenance, anomaly detection, and forecasting; integrate OT/IT systems (MES/SCADA/ERP) using industrial protocols; apply statistical methods, A/B testing, and lean/Six Sigma practices to improve yield and uptime; communicate findings to operations and executives.

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.

As a Data Scientist II, you will analyze complex data, develop statistical models, and create data visualizations to support internal clients and enhance analytics capabilities. You will collaborate with technical leads and stakeholders, ensuring data quality and accuracy in deliverables.

As a Data Scientist, you will develop advanced fraud detection models, collaborate with teams, analyze data for insights, optimize models, and ensure compliance with data privacy.

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.

As a Data Scientist, you will advance applied ML capabilities for healthcare, develop LLM-based chart abstraction techniques, and enhance data science best practices.

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.