Top Software Data Science Jobs

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

Lead development of Vanta's business analytics function: build scalable product data assets, define measurement frameworks, use AI-assisted analytics, partner with cross-functional teams, and deliver executive-level recommendations to drive product and business decisions.

Lead end-to-end clinical outcomes research using large EHR datasets: design observational and quasi-experimental studies, run causal inference analyses, interpret results, publish findings, and partner with clinicians, data science, and commercial teams to shape product and demonstrate impact.

Lead end-to-end analytical design and validation for Signals, Forecasting, Simulation, Predictions, and Cohort Detection. Develop causal inference, time-series forecasting, survival/retention, and clustering methods; document assumptions and validation; partner with engineers to productionize models; ensure statistical rigor, significance correction, and trustworthy outputs that translate into clear product experiences.

The Data Scientist will build machine learning models to enhance claim audits, optimize performance, and improve healthcare decision-making by analyzing complex data sets.

Partner with Product and Engineering to define product metrics, design experiments and causal analyses, build reporting and models, analyze user behavior and segments, and translate insights into product recommendations while establishing Product Data Science practices.

Lead and expand Five9's data science team, focusing on AI products through research, experimentation, and data management. Direct technical methodologies while collaborating with stakeholders and enhancing customer experiences.

Lead product-focused data science work: define and track metrics, design and analyze A/B tests, evaluate model and agent performance across conversations and workflows, perform root-cause analyses, build statistical models and dashboards, and partner with Engineering and ML teams to improve instrumentation and data quality.

Remote data science role to analyze large datasets, build/train/deploy machine learning models, design data pipelines, create visualizations, and collaborate with stakeholders to drive data-driven solutions.

Perform large-scale data analysis and modeling using Hadoop ecosystems and general-purpose languages (Java, Python, R). Apply statistical techniques and machine learning on big datasets, develop creative solutions, visualize patterns, and work independently within a research-oriented team. Strong communication and rapid conceptual learning are expected.