Top Software Data Science Jobs

Designs, develops, deploys, and optimizes production machine learning and data science solutions across the full lifecycle. Responsibilities include statistical analysis, predictive modeling, feature engineering, data exploration, pipeline development, model deployment and monitoring, MLOps, and business intelligence reporting. Collaborates with stakeholders, engineers, product managers, and cross-functional Agile teams to deliver scalable analytical solutions and translate insights into business recommendations.

Collects, cleans, transforms, explores, and statistically analyzes clinical, financial, and operational data. Builds visualizations and dashboards using tools such as Power BI and Tableau, communicates findings and recommendations to stakeholders, and collaborates with domain experts to evaluate program effectiveness. The role requires healthcare or pharmacy experience, SQL programming, strong analytical skills, attention to detail, and compliance with data privacy regulations such as HIPAA.

Hands-on Data Science Manager delivering analytics, statistical models, and insights to evaluate and optimize media/marketing campaigns. Build reproducible analyses with Python/SQL/R, support attribution and A/B testing, collaborate with media, strategy, and engineering teams, and communicate findings to non-technical stakeholders. Growth path toward technical or people leadership.

End-to-end data scientist who analyzes messy SEO/AEO data, designs and runs experiments, implements fixes using internal tooling, ships improvements, and communicates decision-ready reports to clients while improving tools and processes.

Lead data science for Root's digital partnerships channel, managing a team to drive growth, profitability, experimentation, forecasting, optimization, and measurement. Partner with cross-functional teams to improve acquisition economics, influence product and technical roadmaps, deliver executive reporting, and establish scalable operating processes.

Analyze and interpret survey and operational datasets to produce statistical analyses, visualizations, and actionable insights. Develop, maintain, and enhance tools, databases, and processes for survey creation and exploitation. Ensure data quality across multiple sources and constrained environments, document methodologies and SOPs, provide customer support, and collaborate with mission partners to improve survey workflows and enable informed decision-making.

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.

The data scientist will optimize credit and marketplace products using machine learning, create algorithms, analyze experiments, and manage ML infrastructure.

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

As a Data Scientist, you will lead ML projects, optimize systems, evaluate models, translate business needs into quantitative problems, and mentor junior staff. You'll use NLP, evaluate model performance, and stay updated with ML advancements.