Top Data Science Jobs in Mexico
As a Data Science TLM Manager, you will shape Airbnb's search and personalization strategy by leading a team of data scientists, developing specialized models for the recommendation platform, and ensuring collaboration between the relevance team and product organization to enhance user experience.
The Director of Data Science will lead the Data Science team, focusing on Big Data Analytics, AI, and ML to meet client needs. They will manage a portfolio of government projects, ensure team skills and resources are adequate, and drive operational policies and goals while maintaining high standards of service quality.
As the Advisor of Data Science and Advanced Analytics at Ciena, you will enhance the company's analytics capabilities by transitioning from descriptive analytics to predictive and prescriptive analytics. Responsibilities include collaborating with business teams to identify data-driven solutions, preparing data for analysis, developing statistical and machine learning models, deploying data models into production, and ensuring data quality and security.
The Data Science Product Portfolio Manager will manage data science product delivery, coordinate multi-project initiatives, and enable technical solutions. Responsibilities include translating business goals into product solutions, managing client expectations, ensuring quality deliverables, and collaborating with technical and business teams to drive AI and machine learning analytics projects.
The Manager will lead marketing analytics projects, maintain client relationships, oversee data science teams, and implement business strategies to enhance client performance. Responsibilities include managing data scientists, driving strategic consulting initiatives, and fostering team development.
The Manager of Data Science for Pricing Algorithms at CarMax will develop and optimize models that accurately value vehicles based on various market conditions. Responsibilities include analyzing data, leveraging machine learning techniques, conducting controlled experiments, and communicating insights to senior leaders.
The Data Science Manager will lead application development for Availity's products, focusing on statistical and machine learning solutions. Responsibilities include managing the data science development lifecycle, translating business requirements, analyzing technology trends, and coaching the analytics team.
The Senior Technical Curriculum Developer will create engaging technical learning content for customers, including hands-on labs and certification programs. They will collaborate with engineering and product teams, evaluate training needs, improve existing courses, mentor junior members, and utilize SQL and scripting for reports and data handling.
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As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
The Data Science Manager will lead the Pricing and Promotion Optimization team at Tiger Analytics, driving product strategies and overseeing roadmap development. Responsibilities involve analytics communication, team leadership, stakeholder collaboration, and market analysis to enhance pricing initiatives for CPG clients.
As a Manager of Data Science, you will lead a team to develop and optimize decision systems and create scalable, data-driven products that drive business outcomes. You'll manage machine learning models and statistical analysis to generate insights and enhance company processes, fostering innovation and mentoring junior team members.
The Principal Decision Scientist will lead and mentor teams by providing high-impact analytics insights and solutions for clients. Responsibility includes optimizing client success with Ibotta platforms, communicating analytical results to enhance client strategies, driving internal projects, and mentoring junior colleagues.
The Head of Data Science and AI is responsible for driving innovation in Ai and data science at Socure, focusing on developing machine learning models, leading cross-functional collaboration, overseeing advanced data strategies, and mentoring technical teams to enhance AI-driven solutions.
The Data Science Analyst Program involves collaborating with teams to deliver innovative data science solutions that address business challenges. Interns will gain hands-on experience in machine learning and analytics within a data-driven environment for JPMorgan Chase.
As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.
As a Data Science Analyst Intern, you will use your technical skills to create innovative solutions and work on projects involving machine learning, data engineering, and visualization. The role emphasizes collaboration and delivering impactful solutions for clients, with mentorship opportunities throughout the 10-week program.
The Data Science Manager at DMG leads the development of analytical frameworks and decision support tools to enhance understanding of content performance. Responsibilities include building statistical models, analyzing data trends, partnering with technology teams, and mentoring junior members. The focus is on leveraging advanced analytics to inform business strategies and improve overall performance.
As a Data Science Engineer at PrizePicks, you will develop and maintain streaming data and MLOps infrastructures, ensuring data reliability and quality for pricing models. Collaborate with data science, engineering, and product teams to operationalize data science assets and deliver real-time market offerings.
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.
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.
As a Senior Associate in Data Science at PwC, you will leverage advanced analytical techniques to extract insights from large datasets. Your responsibilities include developing AI/GenAI solutions, collaborative problem-solving with clients, and managing data engineering tasks to optimize business operations.
As a Senior Associate in the AI & GenAI Data Scientist role at PwC, you will leverage advanced analytics and data manipulation techniques to solve complex business problems for clients. You will collaborate with teams to build AI solutions, document business processes, and design AI architectures, while supporting daily operations and delivering quality insights.
As a Senior Associate in AI and GenAI Data Science, you'll leverage data manipulation, visualisation, and statistical modelling skills to solve complex business problems for clients. You'll work on AI and GenAI solutions, collaborating with teams and clients to understand their needs and develop analytical models, ensuring high quality and adherence to professional standards.
The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.
As a Principal Associate, Data Scientist, you will develop machine learning models to prevent application fraud. You'll work with a team to analyze and extract insights from large data sets, leveraging various technologies and ensuring customer-focused solutions.
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