Top Machine Learning Jobs in Leon

The Staff Data Scientist/Machine Learning Engineer will develop ML systems to engage retailers, mentor senior data scientists, and optimize marketing strategies using data insights.

The Strategy & Analytics Lead will drive product decisions through data-driven insights, collaborating with cross-functional teams to enhance business growth.

Lead data partnerships by executing data acquisition strategies, negotiating agreements, and evaluating data quality in clinical and observational studies.

As a Financial Engineer, design and maintain advanced financial models while providing analytical support for trading and hedging activities. Collaborate with stakeholders to enhance operational efficiency through advanced analytics and automation.

Assist in quantitative research and development, focusing on high-frequency trading, statistical arbitrage, and market-making strategies. Rotate through various tracks during the internship.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Lead the technical vision for machine learning in search and recommendation systems, ensuring effective implementation and high standards. Collaborate across teams, balance research with practical applications, and simplify complex problems.

The VP of Data Science will lead Read AI's technical foundation in AI and ML, overseeing a team focused on building and scaling AI models and infrastructure.

The Technical Lead Bioinformatics Scientist will analyze complex sensor data for clinical initiatives, mentor staff, and develop databases for data organization.

As a Staff Analytics Engineer, you'll build production data workflows, ensure data integrity, and create customer-facing data insight products using SQL and Python.

The Integrated Insights Leader will drive strategic insights for Roche's pharma products, collaborating with R&D and commercial teams to enhance patient outcomes and market success through data analysis and customer-centric strategies.

As a Graduate Quantitative Researcher, you will develop algorithmic trading strategies using statistical models and machine learning, while collaborating with a research team.

As a Quantitative Research Intern, you'll work on research projects involving statistical models and machine learning to improve trading algorithms and strategies, impacting real-world trading decisions.

Develop and implement algorithmic trading strategies using statistical models and machine learning, analyzing large data sets to predict market movements.

As a Quantitative Research Intern, you'll develop trading algorithms and analyze strategies using statistics and machine learning, impacting Optiver's trading decisions.

As a Graduate Quantitative Researcher, you will develop algorithmic trading strategies using statistical models and machine learning while working with big data technologies.

Develop and implement algorithmic trading strategies using statistical models and machine learning to analyze and predict market movements while collaborating in a research team.

The Principal Data Scientist will develop algorithms, drive machine learning roadmap, collaborate with teams, and improve rider experiences through predictive models.

The Head of Data Science will lead and develop strategic AI/ML initiatives, mentoring teams, managing budgets, and collaborating with C-suite executives to drive business outcomes and innovation in data science.

The Business Intelligence Analyst interprets business needs into technical specifications, develops data models, analyzes data, and presents insights using AI and ML technologies.

As a Senior Data Scientist, you'll optimize matchmaking algorithms, define performance metrics, and collaborate on system efficiency improvements, focusing on large-scale user connections.

As a Senior Data Scientist and Statistician, you will design experiments, analyze complex datasets, and mentor junior colleagues while driving actionable insights in cell and gene therapy teams.

Responsible for data modeling, analysis, and reporting metrics for digital product initiatives to drive optimization and business strategies.

As a Senior Machine Learning Scientist specializing in NLP at JPMorgan Chase, you will develop advanced machine learning models, collaborate with various teams, and drive firm-wide initiatives in analytics and data utilization.

This role involves developing and implementing machine learning models for NLP and analytics, collaborating across teams to deploy solutions in production.