Data Science Jobs in San Jose, CA

As a Data Science Engineer at Adobe, you will analyze data, develop machine learning models, and provide insights to drive business decisions in the B2B segment. Responsibilities include enhancing M/L models, implementing dashboards, and discovering opportunities for growth.

This role involves generating insights from multi-omics datasets, developing statistical models, and collaborating with scientists to enhance data management and analysis.

As a Data Science Engineer, you'll develop revenue-generating models, analyze business performance, and enhance sales strategies through advanced data-driven insights.

The Data Science Intern will work with the Data team to solve business problems using data insights, machine learning, and statistical methodologies.

The Senior Data Scientist will develop machine learning models to enhance site personalization and support data-driven solutions, collaborating with cross-functional teams.

The Data Science Intern will work on improving ad-tech systems and conducting deep-dive analyses to optimize bidding strategies, while designing experiments and providing insights for product decisions.

Develop and deploy algorithms for fish farms, manage data infrastructure, and build statistical models for fish health and weight.

The Data Science Engineer analyzes data to improve customer engagement, provides insights for business strategies, and collaborates with data engineering teams for robust data strategies.

The Staff Data Scientist will analyze data, design machine learning models, ensure data quality, and collaborate on data governance strategies at ID.me.

Manage a 6-person Data Science team focused on ensuring safety on the platform, while improving processes and stakeholder management. Collaborate with cross-functional teams and provide strategic insights for safety initiatives.

As a Principal Data Scientist, you will design cloud-native data solutions, leverage AI/ML for insights, and enhance data-driven decision making.

The internship involves contributing to Pinterest's product roadmap using data analysis, implementing core metrics, and collaborating with cross-functional teams to drive product innovation.

Lead and mentor a team of data scientists to drive analytics for Core Product, shaping strategies and designing experiments to measure product impact.

As a Marketing Science Associate Analyst, you'll automate processes with SQL and Python, analyze data documentation, and collaborate with teams to enhance data management and analytics.

Seeking a Senior Data Scientist to establish a data-driven culture, develop dashboards, and define metrics for growth. Requires 7+ years of experience.

As a Data Scientist, you will analyze data, understand user metrics, shape product development, and collaborate with product and research teams.

Design and implement advanced ML models for aerial LiDAR data, optimize pipelines for object detection, and collaborate with scientists to bring models to production while applying MLOps practices.

Perform data analysis, build statistical models, and manage machine learning pipelines for product experiments, focusing on large datasets.

The Senior Data Scientist will collaborate with engineering and product teams to define data assets, improve KPIs, and enhance analytics for AI-powered products.

Build and train AI platforms as part of the ML/Data Science team, collaborating with a diverse group to develop machine learning applications.

The Research Engineer is responsible for improving data quality, designing pipelines, implementing evaluation frameworks, and researching data improvement techniques.