Top Machine Learning Jobs in Tijuana
The Analytics Supervisor will lead a team, drive data analysis projects using statistical and machine learning techniques, collaborate with clients to deliver impactful data solutions, and oversee data quality and integrity.
The Manager, Data Scientist will lead analytics projects, develop machine learning models, and collaborate across departments to drive insights and recommendations. Key responsibilities include formulating data science problems, statistical modeling, and ensuring data quality and governance. This role aims to establish a robust data science foundation within the organization.
The Research Scientist will investigate fundamental questions of intelligence and knowledge to develop software with human-level intelligence. Responsibilities include creating research questions, coordinating experiments, and mentoring research engineers, while collaborating with internal and external teams.
The Principal Data Scientist will work with various data sources to build predictive models that enhance revenue expansion and reduce churn for enterprise software companies. They will collaborate with stakeholders to improve model accuracy, innovate on data science opportunities, and partner with engineering to ensure scalable data science infrastructures.
As a Research Scientist, you will conduct research focusing on AGI, design and implement AI algorithms and systems, collaborate with teams, and present findings.
The Senior Big Data Engineer will lead the modernization of Master Data Management systems, designing and building data solutions across various platforms. Responsibilities include collaborating with cross-functional teams to implement data engineering services, maintaining data quality, and optimizing cloud and big data environments for operational and analytic applications.
The Applied ML Scientist at PDT will collaborate with researchers and technologists to enhance trading strategies using statistical methods and machine learning. Responsibilities include conducting large-scale experiments, developing research methodologies, and generating innovative research ideas. Candidates should possess strong programming skills and experience in machine learning or statistical modeling.
As a Senior Data Scientist at Moloco, you will analyze large datasets, influence research and development strategies, and model components of the ad-tech stack. Your expertise will drive performance monitoring and product improvement in the high-growth Moloco Commerce Media.
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The Principal Consultant will lead cloud data management and analytics initiatives for life sciences clients, ensuring the timely execution of projects and fostering client relationships. This role involves providing strategic leadership, overseeing innovative solutions, and driving delivery excellence in data transformation and cloud-based technologies.
The Director of Data Management will lead the global team to deliver Commercial Data Management, Reporting, and Analytics solutions for Life Sciences clients. Responsibilities include overseeing data integration, collaborating with stakeholders, and managing end-to-end analytics projects while ensuring high-quality solutions that meet client needs.
As a Staff Data Engineer, you will drive data platform initiatives, design and optimize data architecture, and implement ETL/ELT processes for analytics and reporting, enhancing insights through machine learning and generative AI technologies.
The Senior AI & ML Consultant will architect and implement AI and ML solutions using OpenAI and Azure ML, lead project lifecycles, develop strategic roadmaps, and facilitate workshops to enhance AI understanding among clients. The individual will address complex business needs with innovative AI solutions while ensuring fairness in AI deployment.
In this role, you will design and build advanced search and recommendation algorithms that improve the customer experience at Wayfair. You will develop scalable machine learning models while collaborating with cross-functional teams and addressing complex challenges. You will also stay abreast of the latest advancements in ML.
The Head of Data Science & Analytics will lead the data science team, manage strategic projects, develop innovative solutions, and collaborate with cross-functional teams to optimize processes and enhance products and services using data-driven strategies.
Design and implement infrastructure for training, evaluating, and deploying deep learning models for self-driving semi trucks. Develop and optimize training pipelines, track metrics, and enable continuous integration and deployment of model improvements in collaboration with cross-functional teams.
In this role, you will support the Hive Media team by conducting analysis, managing client projects, collaborating with various teams, and delivering innovative solutions for clients in the media industry while adhering to industry best practices.
Design and develop algorithms to model interactions in enterprise cybersecurity, apply AI and graph analysis techniques, build solutions balancing complexity and performance, and collaborate with engineering teams on ML infrastructure and data pipelines.
As a Data Scientist at HUMAN, you will partner with various teams to enhance bot detection, develop statistical detection techniques, lead projects, and contribute to the Data Science culture and standards within the company.
The Senior Data Scientist will collaborate with product, engineering, and analysts to enhance bot detection and develop detection algorithms. Responsibilities include researching detection frameworks, supporting Data Science best practices, participating in code reviews, and improving data and ML infrastructure.
As a Graduate Quantitative Researcher, you will develop algorithmic trading strategies using statistical models and machine learning, analyze data to identify trading opportunities, and build models for pricing financial derivatives in a collaborative research team.
The Data Strategy & Operations Manager will develop the data operations program, implement data quality strategies, manage data flow and accuracy in CRM systems, and analyze data for executive leadership. This role requires collaboration with various teams to enhance data processes and ensure high data integrity.
The Staff Data Scientist will research and implement advanced data models and algorithms using both structured and unstructured data. Responsibilities include processing large datasets, optimizing advertising product performance through machine learning models, running A/B tests, and creating data visualizations to share insights.
As a Senior Data Scientist on the Search Ranking Team, you will analyze large datasets, build and deploy machine learning models, and improve product search relevance. Your work will focus on solving complex problems in machine learning, NLP, and computer vision to enhance user experience and drive business results.
The Staff Data Scientist will lead the development of generative AI models for e-commerce data, optimize advertising campaigns using advanced machine learning techniques, conduct experiments to validate model performance, and collaborate with leadership to enhance the advertising ecosystem.
Conduct world-class research on data analytics and contribute to the long-term research agenda in large-scale data analytics and machine learning. Develop AI/Machine learning models to detect credit card information attacks. Collaborate with product stakeholders to formulate and solve complex technical data problems.
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