Data Science Jobs in Sunnyvale, CA

As a Staff Software Engineer on the Data Science team at Northbeam, you'll design and implement data-driven solutions, scale data products, and develop machine learning models, directly impacting the company's core product.

The Director of Data Science will lead data initiatives, mentor teams, and leverage advanced analytics to drive business insights for partners. Responsibilities include implementing machine learning models, data governance, and fostering innovation in data solutions.

Perform internal audits, assess IT controls, develop data analytics routines, and support SOX compliance, ensuring effective risk management.

As a Data Science Intern, you'll work on machine learning algorithms, tackling complex datasets and collaborating with experts to deliver enterprise AI applications.

As a Data Science Analyst, you'll enhance NPS programs, conduct deep analysis, and support strategic decision-making through advanced analytics and AI.

In this internship, you will collaborate with teams to enhance supply efficiency, build ML models, and deploy solutions for decision making.

Manage and develop a team of Data Scientists, oversee analytics efforts, guide data-driven decision-making, and communicate insights to senior leadership.

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.

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

The Executive Assistant will support senior leaders by managing schedules, coordinating meetings, and providing administrative support in a dynamic environment.

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

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

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 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.

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

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.

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.