Top Hybrid Data Science Jobs

Seeking a Senior Data Scientist to leverage AI and machine learning in healthcare datasets. Responsibilities include developing algorithms, leading projects, and mentoring juniors while collaborating with technical and business teams.

The Senior Manager, Data Science leads analytics projects, develops machine learning models, and guides a team of data scientists to enhance digital customer experiences at Grainger.

The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.

As a Staff Data Scientist, lead high-impact data science projects, mentor team members, and innovate using AI and machine learning. Collaborate across teams to enhance products and deliver insights.

The Sr. Data Scientist leads projects applying machine learning and data analysis to solve business problems, mentors junior scientists, and communicates findings to stakeholders.

The Data Scientist II will design and deploy machine learning models for personalization and inventory optimization, collaborate across teams, and manage the complete ML lifecycle.

Analyze data sets, develop predictive models, collaborate with stakeholders, design visualizations, ensure data quality, and stay current with trends.

The Data Scientist will design scalable data models, support data transformation, provide business insights, maintain data quality, and drive evidence-based decisions.

The Statistician will collect, analyze, and interpret data, develop statistical models, create visualizations, and collaborate with researchers and stakeholders to inform decision-making.

The Data Scientist will analyze large data sets, develop predictive models, create visualizations, and collaborate with teams to drive business insights.

Analyze large data sets, develop predictive models, create visualizations, and collaborate with teams to drive business decisions.

As a Senior Data Scientist at Moloco, you will analyze large datasets, improve campaign performance, and guide product development through data-driven insights.