Top Software Data Science Jobs

This role entails using statistics and machine learning to analyze complex datasets, implementing algorithms, and back-testing models. A PhD is required for this position.

Lead and build a US-based data science capability while remaining hands-on: write code, design, deploy, and maintain production ML models, mentor junior data scientists and ML engineers, establish MLOps and data-science workflows on GCP, and align initiatives with product and global teams to deliver measurable business value.

The Credit Strategy Lead will analyze data to propose credit risk strategies for lending products, collaborate with teams to drive revenue, and develop innovative risk management approaches.

Lead product analytics for in-vehicle experiences: define KPIs and instrumentation, perform deep-dive behavioral analyses, build dashboards and self-serve analytics, guide experimentation and causal inference, and mentor teams to scale analytics practices across the Vehicle Product organization.

As a Data Scientist, you will design and operationalize advanced analytics, develop scalable models, and collaborate with teams to enhance product capabilities in healthcare.

Lead enterprise data strategy, governance, architecture, and analytics. Build and mentor data engineering, science, and analytics teams; deliver scalable data platforms, ML models, and BI reporting; ensure compliance, performance, and stakeholder-driven data solutions.

The Senior Associate, Data Scientist will partner with cross-functional teams to identify risks associated with models and validate machine learning models across the enterprise, enhancing decision-making while ensuring model governance and risk management.

Design and deliver workforce analytics and predictive models using ML/AI. Acquire, clean, and explore structured and unstructured data, lead analytics projects, create visualizations, and communicate data-driven insights to business leaders to influence workforce decisions.

Lead product analytics to inform strategy and optimize user experience: translate business questions into analysis, build reliable analytics infrastructure, run A/B tests and ML/statistical analyses, track funnels and cohorts, support 0-to-1 product launches, and communicate actionable insights to cross-functional teams.

The Senior Data Scientist will implement and test ML models for international products, collaborating with cross-functional teams to drive insights and deploy solutions.