Top Data Science Jobs in Leon

The ABP Fellowship is a five-week paid summer program designed for undergraduate sophomores to explore career opportunities in financial services. Fellows will engage in learning, mentorship, and a project-based curriculum. Successful completion may lead to a 2026 Summer Internship offer.

The Manager of Data Science will lead a team focused on leveraging advanced analytical techniques to solve business problems related to credit risk and home loan acquisition. Responsibilities include strategic thinking, team management, performance tracking, and developing analytics frameworks to drive business insights and strategies. The role requires active participation in developing machine learning algorithms and delivering findings to various leadership levels.

Senior Manager, Data Science role at a Fortune 200 company specializing in credit card industry disruption and data-driven decision-making. Responsibilities include partnering with cross-functional teams, building machine learning models, leveraging technologies like Python and AWS, and translating complex work into business goals. Ideal candidate is customer-focused, a leader, technically proficient, and a data guru. Basic qualifications include a Bachelor's Degree with 7 years of experience in data analytics or a Master's Degree with 5 years of experience.

As a Manager in Data Science at Capital One, you will lead a team to leverage advanced data analysis and machine learning techniques. Your role involves building machine learning models, collaborating with cross-functional teams, and delivering impactful applications that enhance the customer experience.

As a Data Scientist at Capital One, you will partner with a cross-functional team to deliver customer-focused products. You will leverage technologies like Python and SQL to extract insights from large datasets, build machine learning models, and translate complex analysis into business goals. Your role will involve innovative research and evaluation of technologies while working on impactful applications such as fraud detection and product recommendations.

Lead a team of analysts in Global Data Science, focusing on innovative solutions using Visa's vast data set. Engage with internal and external partners to address strategic business questions, develop visualizations, and create custom data models. Drive product optimization and improve business strategies through predictive modeling and data analysis.

The Lead Machine Learning Engineer will develop innovative AI and machine learning solutions for Disney's advertising platform, driving improvements in ad inventory forecasting, experience, pacing, pricing, targeting, and delivery. The role involves designing ad algorithms, conducting scalable data analysis, and collaborating across teams while mentoring junior members.

As a Data Science Manager at Capital One, you will lead the team in building advanced machine learning solutions for Upmarket Customer Management valuation. You will connect data science solutions with business outcomes and collaborate with senior stakeholders.

As a Principal Machine Learning Engineer, you will lead the development of prediction or optimization engines for advertising platforms, driving innovation through AI and machine learning. Responsibilities include designing ad algorithm architecture, developing scalable data analysis methods, and collaborating with cross-functional teams.

The Lead Data Scientist will drive innovation in advertising by applying data science and statistical analysis. Responsibilities include developing models, defining key metrics, delivering insights, analyzing A/B tests, and mentoring team members within a collaborative environment.

The Data Scientist III (ML Engineering) will focus on building machine learning solutions to enhance Cedar’s healthcare payment platform. Responsibilities include conducting deep data analyses, developing and optimizing ML-powered features, building and optimizing data pipelines, and measuring model performance for continuous improvement.

The Senior Credit Manager / Senior Staff Data Scientist will analyze and evaluate data to develop and propose credit risk strategies and models for various lending products, with a focus on Personal Loans. Responsibilities include implementing underwriting strategies, monitoring portfolio risk trends, and collaborating with cross-functional teams to drive revenue and control risk.

The Head of Bioinformatics and Data Science will lead the data science team to develop genomic clinical tests, drive innovation in data analytics, collaborate with cross-functional teams, and ensure compliance with industry standards. This role includes strategic direction, team management, and participation in R&D growth.

Lead the development of innovative ML-based enterprise products, architect AI-enabled data products, and solve complex cross-functional problems. Engage with senior clients, manage hybrid teams, and shape firm strategy in AI. Foster talent and publish thought leadership.

Lead the development of innovative ML-based products, architect AI data solutions, research advanced algorithms, and engage with senior clients to deliver transformative solutions. Oversee hybrid teams in the creation of AI applications and contribute to ZS's talent development and firm strategy.

The Director of Data Science (Revenue Analytics) will lead the Revenue Analytics team to analyze and drive data-driven decisions to grow revenue. This involves building and owning reports, providing insights, and guiding cross-functional initiatives. The role requires strong critical thinking skills and the ability to communicate effectively with stakeholders.

The Manager of Data Science will harness data science and analytical insights to support brand strategies for the US Commercial team. Responsibilities include developing machine learning models, interfacing with stakeholders, enhancing brand and sales understanding, and driving execution strategies.