Top Machine Learning Jobs in Tijuana

The Data Scientist will leverage data science techniques to extract insights from customer data within the Customer Data Platform. Responsibilities include developing predictive models, implementing machine learning algorithms for personalization, collaborating with marketing and sales teams, creating visualizations, and ensuring alignment of initiatives with business objectives.

AI Scientists at HHMI develop and execute AI-based research projects aimed at biological discoveries. They lead collaborative teams, oversee projects, explore new methods, and contribute to scientific publications. They work on a range of scales, from individual projects to large initiatives, and ensure coordination across teams.

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 Predictive Analytics Consultant leads the analytics team in designing and delivering solutions like Automated Underwriting and Risk Scoring. Responsibilities include managing complex datasets, developing predictive models, ensuring solutions meet business objectives, and presenting findings to stakeholders.

The Sr. Data Scientist will develop and improve predictive models for pricing algorithms at CarMax, focusing on feature engineering and incorporating new insights. Responsibilities include leveraging statistical and machine learning techniques, conducting controlled experiments, and communicating findings to senior leaders to drive business change.

The Data Scientist will solve healthcare data-driven problems using machine learning and predictive modeling methods, collaborating with the Data Science team and Product Management to maximize the utility of predictive modeling in healthcare operations.

As a Senior Data Scientist at Bose, you will deliver AI and machine learning solutions for demand forecasting and supply chain models. Engage with stakeholders to translate business problems into data science solutions, collaborate with various teams, and mentor others while deploying predictive and prescriptive models.

As a Full Stack Data Scientist & Machine Learning Engineer at Cardinal Health, you'll develop and deploy machine learning models, integrate generative AI solutions, create user-facing applications, and construct robust APIs. You will collaborate with cross-functional teams and stay updated on AI trends while ensuring scalable and efficient solutions in healthcare.