Top Data Science Jobs in Ecatepec

The Senior Director of Data Science & Analytics at Roblox focuses on shaping the data strategy and consumer experience across the platform. Responsibilities include applying causal inference methodologies, optimizing algorithms for content discovery, balancing marketplace needs, and collaborating with cross-functional teams to drive user engagement and product development.

As a Senior Data Scientist, you will work with cross-functional teams to establish success metrics for multimedia products, operationalize metrics monitoring, analyze performance trends, and improve user engagement and monetization through data insights. You will leverage A/B experiments and causal inference methodologies to assess product features and their impact on user experiences within the game engine.

As a Senior Data Scientist, you will partner with a team to deliver customer-focused products by leveraging technologies like Python, AWS, and Spark. You will build machine learning models through all phases and extract real-time insights from large datasets to inform business decisions.

The Manager of Data Science will lead a team in developing econometric loss models and predictive analytics that inform strategic decision-making in consumer credit risk management. The role involves optimizing and deploying machine learning models, leveraging extensive data to drive insights and growth opportunities, while collaborating across teams to deliver valuable products.

As a Senior Associate Data Scientist, you will create machine learning models for regulatory compliance and risk management. You'll work with cross-functional teams to extract insights from vast data volumes using advanced technologies, while translating complex analyses into business goals.

As a Senior Associate Data Scientist, you will work in a team to build machine learning models for regulatory compliance and risk management. Responsibilities include leveraging technologies to analyze large datasets, developing and validating predictive models, and collaborating with cross-functional teams to achieve business objectives.

As a Senior Associate in Data Science, you will use generative AI to analyze call transcripts and document images, fine-tune large language models, manage data annotation projects, and collaborate with machine learning engineers and business stakeholders to develop and enhance machine learning solutions.

The Manager Data Science role involves leading the deployment and optimization of machine learning models in the Consumer Credit Risk Management team. You will collaborate with data scientists, software engineers, and product managers to deliver insightful products, leveraging technologies like Python and AWS. This role focuses on translating complex analyses into actionable business goals to enhance company performance.

The Principal Associate , Data Science - Servicing Intelligence at Capital One is responsible for harnessing the power of transformer model architectures, fine-tuning large language models, managing data annotation projects, building machine learning solutions, collaborating with stakeholders, and leveraging a broad stack of technologies to automate workflows using text, audio, and vision data.

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records. The role involves harnessing transformer model architectures, managing large-scale data annotation projects, collaborating with machine learning engineers, and leveraging a broad stack of technologies to automate workflows using huge volumes of text audio, and vision data.

Senior Manager, Data Science role at a Fortune 200 company specializing in data-driven decision-making. Responsibilities include leading a team to deliver customer-centric products using machine learning technologies and collaborating with cross-functional teams. Ideal candidate is customer-focused, a leader, technically skilled, and proficient in big data analysis.

As a Senior Manager, Data Science at Capital One, you will partner with a cross-functional team to deliver products customers love, build machine learning models, and leverage a broad stack of technologies. The ideal candidate is customer-focused, a leader, technically proficient, and a data guru.

As a Manager of Data Science in Marketing and Valuations, you will lead a team in developing advanced machine learning models to improve marketing efficiency and drive account growth. You will ensure the models perform well under various economic conditions and translate business goals into data science solutions.

Lead a team of data scientists to develop advanced machine learning solutions for marketing and valuations, translate business goals into data science solutions, and communicate with senior stakeholders.

As a Principal Associate, Data Science at Capital One, you will partner with a cross-functional team to deliver customer-centric products, utilize a variety of technologies to uncover insights from large datasets, build machine learning models, and translate complex work into business goals. The ideal candidate is customer-first, innovative, technically skilled, statistically-minded, and a data guru. Basic qualifications include a Bachelor's Degree plus 5 years of experience in data analytics. Preferred qualifications include a Master's Degree in a STEM field plus 3 years of experience.

The Director of Data Science will leverage a wide array of technologies to build and implement machine learning models, collaborating with a team to drive improvements in decision-making and risk management. They will also engage in talent development and lead innovative solutions in the Model Risk Office.

As a Director of Data Science at Capital One, you will lead a team focusing on model risk, utilizing your expertise in statistics and software engineering to drive decisions in risk management. You will leverage cloud technologies and machine learning to develop models, and work cross-functionally with various teams to deliver value to customers.