Top Data Science Jobs in Tijuana

This is a speculative job posting where Recursion invites candidates to submit their resumes for future opportunities in Data Science and Machine Learning, emphasizing their commitment to innovative drug discovery through technology and learning.

The Sr. Data Architect at CDK Global will design and optimize data platforms, ensuring data integrity, security, and efficient processing. They will collaborate with stakeholders to align business needs with technical solutions across various data functionalities, and oversee the implementation of data models and architecture for diverse applications.

As a Technical Principal Consultant, you will partner with clients to develop strategies for optimizing business solutions involving AI and ML, manage engagements worth $2-5M, assist in business development, and provide mentoring while delivering high-quality results on multiple projects.

The Data Science Consultant will analyze business problems, create Data Science roadmaps, communicate methodologies, work on end-to-end digital solutions, and identify appropriate machine learning solutions for clients. They'll also need to have experience in deploying models and using advanced analytics.

Conduct detailed analyses, create Data Science roadmaps, communicate methodologies, work on end-to-end solutions, identify solutions for client problems.

As a Data & Analytics Manager, you will work with post sales teams to translate business problems into analytics solutions, build dashboards and visualizations for customer success, apply data science techniques, and communicate insights non-technically. You'll also create prototype data applications to support customer engagement.

As a Senior Data Scientist at Faire, you'll work on developing machine learning models to optimize shipping costs, evaluate retailer creditworthiness, and enhance retailer acquisition through predictive modeling and SEO strategies, collaborating with a skilled team.

The Senior Manager of Data for Paid Placement will lead a team of data scientists, define data vision and strategy, prioritize projects, and enhance the effectiveness of data science models and algorithms to deliver significant business impact.

The Senior Manager of Data Science oversees the implementation of solutions for identifying complex patterns in large data sets. Responsibilities include leading a team to design and deliver AI/ML solutions, collaborating with product teams, and ensuring alignment with business needs and technological trends.

The Sr. Data Insights Analyst at Samsung Ads will collaborate with various teams to provide data-driven insights to media & entertainment advertisers. The role involves analyzing campaign performance, leveraging first-party data, presenting analytical capabilities to clients, and designing measurement plans to enhance key performance indicators (KPIs).

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.