Top Senior Data Science Jobs

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.

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, you will lead a team to develop AI solutions, collaborate with cross-functional teams, design predictive models, and ensure data quality in machine learning pipelines.

The Senior Data Scientist leads data analysis and model development projects, leveraging machine learning to drive insights and solutions. Responsibilities include executing data strategies, developing predictive models, collaborating with teams, ensuring model validity, and guiding junior members in a dynamic environment.

The Senior Data Scientist will design and implement advanced analytics solutions, focusing on predictive models and algorithms, collaborating with teams and mentoring juniors.