Top Lead Data Scientist Jobs

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 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.

As Lead Data Scientist, you'll advance forecasting models, deploy pipelines, collaborate on diverse datasets, and mentor junior team members.

As a Lead Data Scientist, you'll develop ML models, mentor junior scientists, and provide insights from telemetry data to support strategic decisions.

Lead the analytics function for autonomous driving, focusing on evaluation, experimentation, mentoring analysts, and building automated analysis pipelines.

The Lead Data Scientist leads data science initiatives to enhance decision-making and systems development, managing complex models and enterprise operations, while building client relationships and integrating best practices.

Lead a team of analysts and data scientists to analyze customer data, develop predictive models, and establish a data-driven culture for strategic decision-making.

Lead a team to design, develop, and deploy advanced AI/ML solutions (especially LLMs). Mentor junior data scientists, set team strategy and best practices, analyze large datasets, collaborate with cross-functional stakeholders, and ensure model quality and governance.

The Lead Data Scientist will analyze data, develop machine learning models, collaborate with teams on AI solutions, and mentor junior analysts.

The Lead Data Scientist will design and deploy AI solutions, focusing on Generative and Agentic AI. Responsibilities include collaboration across teams, mentoring, ensuring compliance, and optimizing AI model performance.

The Lead Data Scientist will build pricing systems, lead experiments, mentor teammates, and influence strategy across various departments based on data-driven insights.

Lead enterprise AI initiatives from problem definition through production deployment and monitoring. Evaluate buy vs. build, design ML/LLM solutions, partner with business and engineering, enforce MLOps and governance, and communicate results to leadership.

The Lead Data Scientist will drive data strategy, build predictive models, analyze healthcare datasets, and collaborate with teams to improve clinical outcomes.

Lead Data Scientist will design, develop, and deploy advanced analytics solutions, mentor teams, and engage with business stakeholders to drive data-driven value.

Lead development and deployment of NLP and transformer-based models for financial surveillance. Analyze large unstructured datasets, guide model governance and explainability, mentor junior data scientists, handle data annotation/EDA, and collaborate with product, engineering, and business stakeholders to operationalize ML solutions for compliance.

The Lead Data Scientist will develop advanced analytical solutions for pricing and customer insights in pet insurance, mentor teams, and collaborate with stakeholders.

Lead the development of appraisal and pricing capabilities using data science to automate valuation decisions. Collaborate across teams for insights into pricing and operational strategies.

The Lead Data Scientist leads AI and machine learning model development, mentors junior team members, and collaborates on data-driven solutions for complex problems.

Design and build high-performance AI infrastructure, optimizing and maintaining production systems while collaborating with researchers and analysts.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

The Senior Director, Lead Data Scientist will lead data science projects, oversee model lifecycles, collaborate with stakeholders, and provide mentorship.

Lead modeling efforts in data science, providing analytics support, developing visualization solutions, and managing data governance for clients.

The Lead ML Ops Data Scientist will design scalable MLOps systems, mentor data scientists, and develop models for rental matching and personalization.

Lead a team of data scientists to analyze complex data sets, mentor team members, and provide actionable insights to clients leveraging machine learning and statistical analysis.

Lead and own the data science function: design and build production ML systems (recommendation, forecasting, segmentation), develop configurable multi-tenant models, run rigorous experimentation and causal analyses, connect model outputs to business impact, set scientific standards, and hire and mentor a high-velocity data science team.