Top Data Science Jobs in Tijuana
As a Senior Associate in AI & GenAI Data Science at PwC, you will leverage advanced analytics techniques to drive insights from large datasets, develop AI solutions, and collaborate with clients on their business challenges. Your responsibilities will include building analytical models, document business processes for AI opportunities, and managing data interpretation to inform decisions.
As Sr. Director of Data, Analytics, and AI at NinjaTrader, you will lead efforts in data infrastructure, data science, business intelligence, machine learning, and AI. Your role involves managing a team, executing the technical roadmap, ensuring data governance, and fostering collaborations across departments to support data-driven decision-making and enhance user experience.
Empower seeks an experienced analytics leader to oversee Credit and Data Science functions for international markets in Latin America and South East Asia. The role includes developing risk models, launching innovative products, and understanding consumer behaviors to drive business growth and improve customer financial well-being.
The Quantitative Researcher will develop mathematical models and simulation strategies to improve trading outcomes. Responsibilities include analyzing data, implementing trading algorithms, conducting statistical analyses, and automating data processes using Python and KDB/Q. The role involves collaboration with senior researchers and continuous monitoring of trading risk.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
As a Sr. Data Scientist, you will utilize interdisciplinary approaches to extract meaning from large datasets, develop data models, and communicate findings while collaborating with teams to address complex analytic questions. You will also be responsible for translating technical requirements and making informed recommendations regarding technical solutions.
The Data Science Manager - Procurement leads advanced analytics initiatives to improve procurement efficiency and decision-making. Responsibilities include developing analytics programs, aligning risk management strategies with business objectives, integrating AI technologies, and fostering a culture of innovation and collaboration within the team.
The Data Science and AI Manager will lead the development of advanced analytics solutions utilizing NLP and AI to enhance healthcare operations and patient care. This role includes mentoring a team, delivering complex data science projects, and collaborating with various departments to drive data-driven solutions. Responsibilities also involve predictive modeling, data analysis, and ensuring compliance with data regulations.
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The Senior Principal Data Annotation Team Lead will lead a high-performing team to ensure data annotation processes for autonomous vehicle systems are efficient and accurate. Responsibilities include managing vendor relationships, optimizing workflows, implementing quality control measures, and collaborating across teams to meet data requirements.
The Data Scientist will develop and manage dashboards to provide insights into Cargomatic's financial performance, conduct financial data analyses, and collaborate with different teams to support decision-making. Responsibilities include dashboard development, data analysis, cross-functional collaboration, and predictive modeling.
Join Glean's world-class Data Organization as a Data Scientist based in Palo Alto. Collaborate with cross-functional teams to define data assets, improve KPIs, and maintain quantitative frameworks. Address business domains related to product-led user growth strategies and generative AI products.
The Senior Associate will drive data-driven transformation strategies, function as part of a data science team on AI and machine learning initiatives, and solve complex business challenges through data manipulation, modeling, and predictive analysis. The role also involves building scalable data pipelines, documenting work, and mentoring talent.
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The Director, Data Science leads a data science team to leverage customer and campaign data for actionable insights, algorithms, and solutions in marketing. Responsibilities include applying machine learning techniques, data engineering, managing client projects, and building a team of data scientists.
As a data science intern, you will optimize data ingestion pipelines, collaborate with portfolio managers to extract insights from data, and conduct quantitative analysis. You will also produce curated datasets and develop domain expertise across financial asset classes, contributing to data-driven investment strategies.
As a Data Scientist at Twitch, you will define and track KPIs, design experiments, implement data instrumentation, and evaluate product impact. You will inform product strategies and lead analyses to support decision-making across the Creator product team, focusing on creator and viewer behavior.
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 Director of Engineering and Data Science at Fluence leads software engineering and data ops teams, focusing on developing AI-based solutions and aligning initiatives with business goals. The role involves shaping architectural decisions, optimizing performance, and fostering a culture of innovation. Collaboration with executives and mentoring team members are also key responsibilities.
Lead a team of data scientists in delivering advanced statistical techniques and machine learning solutions for underwriting and operations. Collaborate with partners to drive analytics into products, enhancing decision-making and improving business outcomes. Present insights to executives and influence strategic decisions, while also guiding team development and recruitment efforts.
The IT Manager for Data Platforms will lead project delivery teams, manage vendor relations, align technology with business goals, and ensure quality assurance in data science solutions. The role involves collaboration with various stakeholders, continuous improvement of processes, and strategic IT leadership for achieving business objectives.
As a member of the Data Science Center of Excellence, the manager will develop statistical modeling techniques, enhance data science capabilities, guide vendors, collaborate with stakeholders, and communicate insights to ensure robust modeling outputs and informed decision-making across the business.
The Data Scientist will design and implement advanced machine learning models for real-time anomaly detection, automate data discovery from a global honeypot network, and enhance product features through AI/ML techniques. Collaboration with cross-functional teams and direct customer engagement will be essential.
As a Data Science Consultant, you will support business operations through data analysis and presentations. You'll manipulate datasets to drive analytics and collaborate with stakeholders to provide data-driven recommendations and solutions. Strong communication and collaboration skills are essential to succeed in this role.
The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.
The Data Science Senior Advisor role involves utilizing data science and advanced analytics to provide insights for business leaders, collaborating on pilots for new solutions, and developing models in areas ranging from general linear models to machine learning. The position requires regular communication with stakeholders and a strong background in analytics within the insurance industry.
The role involves building and maintaining a secure cloud-hosted laboratory for data science teams at the US Department of Treasury. Responsibilities include developing data pipelines, implementing tools like Databricks, managing AWS services, and ensuring compliance with data security and AI principles.
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