Top Data Science Jobs in Leon

The Data Science Lead is responsible for defining and building data assets to track performance metrics for AI-powered products. They will work with engineering, product management, and design to improve key performance indicators and develop quantitative methodologies for performance analysis. The role focuses on user experience and cross-functional collaboration to enhance Glean's AI products.

The Engineering Lead Manager, Data Science is responsible for overseeing the research, development, and implementation of ML and data science algorithms within a high-performance environment. This role requires both technical leadership and the ability to drive efficiency in global transaction processing and auction evaluations.

The Director of Data Science will oversee AI Insights at Movable Ink, managing a data team and guiding product analytics. Responsibilities include maintaining the internal reporting stack, mentoring client-facing teams, and presenting insights to senior client executives. The role focuses on advancing the Analytics product and driving improvements in the model suite through collaboration.

The Data Science Manager will lead the P2P Analytics team, taking ownership of key initiatives, designing experimentation at scale, and shaping product strategy through deep data insights.

The Senior Manager of Checkout Analytics will lead efforts to identify key business levers, establish causal relationships, and deliver data-driven insights to enhance PayPal's digital payments platform and improve financial services.

Lead a team of data scientists to deliver analytics solutions that positively impact business outcomes. Manage data science projects, implement predictive models, and improve deployed solutions. Ensure effective communication regarding data science methodologies and support project management practices.

The Senior Manager of Data Science will lead a team focusing on data-driven insights and product strategies in the AdTech sector, shaping business decisions and developing automated models for operational efficiency.

The Data Science Manager will lead a team of Data Analysts in managing P&L for Lyft's rideshare business. Responsibilities include mentoring team members, providing analytics and insights, partnering with Data Scientists and Engineers, and presenting findings to senior leadership.

The Assistant Professor will teach undergraduate courses in Data Science and Mathematics, engage in research activities with students, and participate actively in departmental and university initiatives.

The Lead Data Science Analyst will manage advanced analytics initiatives, focusing on credit risk and home loans servicing. The role involves developing machine learning algorithms, collaborating cross-functionally to deliver insights, and creating reports and dashboards to monitor metrics. Additionally, the analyst will identify and implement efficiency improvements and continuously enhance their skills through training.

The Senior Manager, Data Science will lead the personalization analytics team, driving data-backed strategies to enhance Walmart's personalization algorithms and improve item recommendations for customers. Responsibilities include leading product analytics efforts, collaborating with teams, conducting A/B tests, and influencing stakeholders with insights.

The Data Science Lead will define and build data assets, identify improvements for KPIs, and create quantitative frameworks. They will work closely with cross-functional teams to drive user growth, retention, and engagement through data-driven insights, enhancing user experiences and supporting Customer Success Management teams.

The facilitator of Data Science at Flatiron School will guide a small class of learners through online coursework, provide feedback on projects, and lead discussions connecting curriculum to real-world applications. They will foster a collaborative learning environment, assessing and guiding students while exemplifying the school's values.

The Data Science Director in Model Risk at Capital One will lead a team in using statistical models and advanced technologies. Responsibilities include partnering with data scientists and engineers, building machine learning models, and translating complex analyses into business goals to drive better risk management decisions.

Data Science Manager at Capital One focusing on building customer management valuation models using advanced machine learning solutions. Responsibilities include developing model pipelines, translating solutions into business outcomes, and managing existing model suites.

In this role, you'll lead analytical initiatives by employing techniques like machine learning and optimization to address business problems. Responsibilities include managing risks, developing reports and dashboards, collaborating across departments, and delivering presentations on findings to various leadership levels.

As Head of Data Science, you will lead all aspects of data science including statistical methods and data analytics. You will oversee a team of data scientists, manage large complex datasets, and collaborate with product managers and engineering. Your role will enhance data-driven insights to inform decisions and drive product improvements.