Top Software Data Science Jobs

Lead and grow a data science team focused on provider experience. Define strategy, build roadmaps, run analyses, experiments, and predictive models, surface insights, and partner cross-functionally to drive measurable improvements in provider engagement and product experience.

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

Develop and optimize generative AI and large language model solutions, including fine-tuning, agentic workflows, retrieval-augmented generation, and experimentation. Research emerging algorithms, evaluate model performance using automated and human-in-the-loop methods, implement safety guardrails, and integrate AI services with cloud platforms. Mentor junior data scientists and guide technical approaches for AI-driven products.

Leads enterprise data, AI readiness, analytics, and data science strategy. Builds and manages teams across data engineering, analytics, and machine learning; oversees data pipelines, warehouses, lakes, MLOps, feature stores, predictive models, governance, compliance, executive dashboards, and experimentation frameworks. Partners with business leaders to identify AI opportunities, improve data literacy, and establish a company-wide data-driven culture.

Lead product-focused data science and analytics work: define success metrics, design and analyze A/B tests, investigate product and customer performance, build anomaly detection frameworks, and translate insights into product and roadmap recommendations while partnering with cross-functional teams.

Build actuarial and health-economic models (total cost of care, PMPM, MLR) from claims to project multi-year cost and utilization impacts, quantify uncertainty, support commercial pricing, defend analyses to payer actuaries, partner on causal/expt design, and produce outputs usable for pricing/reserving.

Lead development of scalable analytics and evaluation systems for LLM and AI-powered products. Partner with execs, product, and engineering to define metrics, apply statistical and ML methods to measure and forecast product and system performance, automate analyses and self-serve insights, and mentor junior data scientists while owning evaluation pipelines and AI-native integrations.

As a Data Science Manager, you will lead a team in developing personalized experiences through machine learning, aligning efforts with product and engineering to drive impact and innovation.

As a Lead Data Science Analyst, you will develop predictive models, perform statistical analyses, and implement AI-driven solutions to enhance the sales customer lifecycle and drive business insights.

11-week quantitative research internship developing and implementing mathematical and trading models. Responsibilities include model conceptualization, backtesting, live implementation, using unconventional data, and conducting statistical research to refine trading signals and monetization systems.