Top Hybrid Data Science Jobs

The Sr. Data Scientist will apply quantitative analysis, data mining, and statistical modeling to provide actionable data insights, drive decision-making, and collaborate with cross-functional teams.

The Senior Business Intelligence Analyst will develop key metrics, drive data governance, provide performance analysis, design dashboards, and collaborate with stakeholders.

The Senior Data Scientist will develop predictive models, analyze large datasets, and collaborate with teams to enhance machine learning services at Crunchyroll.

The Data Scientist II will develop machine learning infrastructure, optimize products, perform analytics, and communicate insights to management.

As a Lead Data Scientist, you'll build and optimize models for credit risk, marketing spend, and customer churn. You'll work with structured data, collaborating closely with engineering and product teams.

The Data Scientist will analyze datasets, develop predictive models, and communicate insights through visualizations and collaboration with cross-functional teams.

As an Advanced Data Science Consultant, you will develop algorithms, utilize machine learning techniques, collaborate with clients, and mentor junior team members to deliver advanced analytics solutions.

The Lead Data Scientist will guide a team to develop AI innovations in Retail, manage predictive models, and foster AI adoption across the organization.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

Lead Data Scientist overseeing experimentation and product analytics. Responsibilities include establishing practices, mentoring teams, and collaborating on user engagement projects.