Top Data Science Jobs

The Data/ML Scientist SME will design and maintain ML-driven data quality capabilities, ensuring mission data accuracy for AI-enabled decision-making within U.S. Department of War environments.

As a Senior Data Scientist, you'll design data-driven solutions, analyze performance, collaborate across teams, and communicate insights to drive decision-making.

Lead Data Scientist role focusing on refining operations. Responsibilities include developing models for optimization and predictive maintenance, collaborating with engineers, and communicating insights to stakeholders.

Lead a team of Data Scientists to implement data models, analyze data, optimize business strategies, and enhance customer experiences.

The Sr. Data Scientist will design, develop, and deploy AI models and tools, mentor teams, and drive data-driven insights while collaborating with cross-functional teams.

The Senior Data Scientist will structure business problems, create predictive models, and provide mentorship while optimizing supply and demand dynamics.

The Senior Data Scientist at Fetch will develop and scale data science capabilities, architect predictive models, and influence product strategy through collaboration and experimentation. They will lead initiatives focused on engagement, churn, and business impact measurement using advanced analytics and machine learning tools.

Lead data science work on the Matching team: translate product goals into analytics and ML problems, design and analyze A/B tests, mine data for product insights, and collaborate to develop and test production models that improve user matching.

Own end-to-end data science and ML features for logistics: problem framing, modeling, production deployment, monitoring, and cross-functional delivery. Focus areas include theft detection, routing intelligence, anomaly detection, and customer-facing alerting using geospatial and IoT sensor data.

Develop complex queries, lead analytics initiatives, and design machine learning models to support decision-making and business insights. Prepare presentations for stakeholders.

The Senior Data Scientist will lead data analytics projects, interface with clients, and develop predictive models for business intelligence using various data tools.

The Lead Data Scientist will oversee end-to-end data science projects, develop statistical models and machine learning algorithms, and collaborate across teams to deliver impactful data solutions.

The Senior Data Scientist will develop machine learning models, conduct A/B tests, and work with behavioral data to enhance customer engagement and partner ROI.

The Senior Data Scientist will design and implement machine learning solutions for streaming data, troubleshoot production issues, and develop data processing pipelines, leveraging significant knowledge in AI and network communication.

Lead risk-focused data science work by analyzing transactions and user behavior, developing automated risk controls and decisioning systems, advising leadership on risk strategy, and partnering cross-functionally to improve risk processes and scalability in a fast-paced fintech environment.

Lead data science for Yahoo Mail subscriptions: analyze acquisition, conversion, pricing, retention, and churn; design and analyze A/B and multivariate experiments; build predictive and clustering models; partner with product, engineering, design, and business teams to deliver data-driven growth and monetization insights.

Senior-level data scientist supporting DoD acquisition and sustainment: build predictive, prescriptive, and optimization models; extract insights from structured and unstructured data; engineer and validate ML pipelines; integrate data across classified and unclassified domains; ensure data governance and alignment with DoD data strategy.

Seeking a Senior Data Scientist to lead predictive analytics and machine learning initiatives. Responsibilities include building ML models, data management, and mentoring junior data scientists. Must have expertise in AWS and strong statistical knowledge.

Lead causal inference and marketing mix modeling to measure and optimize marketing investments. Drive end-to-end data science work for Growth: define problems with stakeholders, build statistical pipelines, write production code, design and analyze experiments, deploy production models, and participate in on-call rotations to ensure automated campaigns run smoothly.

Lead causal inference and marketing mix modeling to measure and optimize marketing investments. Define problems with stakeholders, build statistical pipelines and production models, design and analyze experiments, deploy solutions, and support automated campaigns via science on-call rotation to drive Growth outcomes.

Lead measurement and optimization of marketing investments using causal inference and MMM. Deliver end-to-end data science solutions for Growth: define problems, build statistical pipelines, productionize models, design and analyze experiments, own roadmaps, and support automated campaigns via on-call rotation.

The Data Scientist will transform data into actionable insights using technical expertise in programming and machine learning to improve decision-making and efficiency within teams, while guiding junior personnel.

As a Lead Data Scientist at Oliver Wyman, you will manage analytics projects, develop models, and engage with global clients to solve business challenges using advanced data science methodologies.

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

The Principal Data Scientist will design, develop, and deploy machine learning models, innovating methodologies and collaborating across teams to enhance financial decision-making and risk management.