Top Data Science Jobs in Ecatepec

Manage a team of data scientists and machine learning engineers to develop AI products aimed at enhancing business performance. Translate data science outputs for wider business applications and establish data science capabilities across the organization.

The Lead Data Scientist will transform data into actionable insights for marketing strategies using advanced analytics and machine learning. Responsibilities include collaborating with teams, developing predictive models, optimizing marketing initiatives, and providing strategic recommendations based on data analysis to enhance customer acquisition and retention.

As a Senior Data Science Consultant, you will collaborate with clients to understand their data needs, analyze large datasets, build predictive models, and create data visualizations to derive insights. You will also contribute to internal projects and work closely with engineering teams to address business challenges through data-driven solutions.

As a Senior Data Science Consultant, you'll collaborate with clients to understand their data needs, analyze large datasets, and build predictive models. You'll also contribute to internal Data Science projects and communicate insights through various mediums while proposing strategic solutions to business challenges.

As a Data Science Consultant, you will partner with clients to understand their data needs, analyze large amounts of structured and unstructured data to discover trends, build predictive models, and communicate insights through various mediums. You will collaborate with multiple stakeholders and contribute to developing solutions tailored to clients’ requirements.

The Data Science Consultant will work alongside clients and internal teams to understand data needs, analyze large datasets, build predictive models and machine-learning algorithms, and effectively communicate insights through various mediums. Responsibilities include collaborating with stakeholders to propose solutions to business challenges and contributing to internal Data Science projects.

The Data Science Manager will lead data science projects focused on marketing analytics, applying data science techniques to solve complex marketing challenges such as customer segmentation and predictive modeling. Responsibilities include managing project delivery, driving business development, engaging with clients, supporting marketing efforts, and mentoring team members.

The Senior Data Science Consultant will collaborate with clients and internal teams to analyze data, build predictive models, and derive insights. Responsibilities include data acquisition, modeling, presenting findings, and contributing to internal projects while working with advanced analytics and machine learning techniques.

The Senior Data Scientist will focus on Pricing Optimization Analytics, conducting extensive data analysis to drive financial benefits and evaluate pricing strategies. This includes performing various analytics like causal inference and sensitivity analysis, aimed at improving decision-making within PayPal's monetization framework.

The Data Scientist 3 role involves analyzing key metrics, conducting data analysis, creating dashboards, and making business recommendations based on consumer product performance. The position requires collaboration with product leaders and engineering for metrics definition and data tracking solutions, while also mentoring junior team members in a dynamic environment.

The Senior Product Data Scientist will lead analyses of consumer and business trends, designing dashboards and conducting in-depth analyses to drive actionable insights for product and feature launches. The role involves collaboration across teams and continuous monitoring of product performance.

The Marketing Data Scientist will lead solutions for complex business challenges, providing actionable insights and business intelligence to support the Consumer Marketing organization. This role involves collaborating with marketing leadership and cross-functional teams to develop data-driven strategies and actionable recommendations.

As a Data Scientist, you will lead efforts to enhance developer experience with PayPal's products by conducting data science projects. You will analyze product flows and use statistical methods to provide insights that inform the product roadmap for optimizing the developer journey.

The Applied Data Science Associate will undergo a 6-month training program to support customer engagements using the DataRobot platform. Responsibilities include assisting clients with complex data science problems, leveraging AI, and enhancing customer success through effective communication and collaboration with sales and engineering teams.

The Senior Analyst, Data Science conducts data analysis to identify trends and derive insights that drive revenue generation. Responsibilities include managing large datasets, ensuring data quality, developing dashboards, and collaborating with stakeholders. The role emphasizes continuous improvement and effective problem-solving using analytical skills and data visualization tools.

Lead a team of data scientists and analysts focusing on creating safety metrics for self-driving vehicles. Responsible for developing metrics strategy, enhancing machine learning models, and ensuring data science best practices. Engage with various stakeholders to drive data-informed decision making in the AV industry.

As a Data Science Intern at Riot Games, you will collaborate with game design and engineering teams to build data-driven features and services for VALORANT. Your responsibilities include optimizing player experiences using statistical modeling and machine learning techniques, and applying data science systems to live games.