Top Data Science Jobs in Mexico

As a Senior Data Science Engineer at DraftKings, you'll drive data science projects from inception to deployment, develop statistical models and machine learning algorithms, collaborate with teams to implement solutions, mentor junior scientists, and innovate content generation approaches to enhance user engagement.

As a Lead Data Science Engineer, you will lead a team to develop and implement machine learning models, enhance search capabilities, and drive impactful projects that create tailored user experiences in the Sportsbook industry.

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.

The Data Scientist will support vertical data science teams by providing guidance in experiment design, analysis, and troubleshooting. Responsibilities include developing scalable solutions for measuring ecosystem health, collaborating with DS and Product teams, and building data science systems and tools. The role focuses on using big data to create business value in a collaborative environment.

As a Senior Data Scientist, you will analyze complex business problems using advanced statistical methods and machine learning techniques. Collaborating with various teams, you will develop predictive models, design experiments, and communicate insights to stakeholders to drive revenue for the organization.

The Senior Director of Creator & Engine Data Science at Roblox will lead data strategies and AI innovations across the Creator, Studio, and Engine ecosystems. Responsibilities include mentoring data science teams, enhancing Studio tools, optimizing engine performance, and integrating advanced technologies to empower creators. This role emphasizes collaboration with product and engineering teams to drive innovation and improve creator experiences.

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.

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 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.

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.