Top Data & Analytics Jobs

The role involves driving product strategy for data infrastructure, leading cross-functional teams, and implementing MLOps practices for data engineering solutions.

The role involves leading the analytics strategy for procurement, overseeing a team, developing AI/ML models, and collaborating with cross-functional teams to improve operational performance and data governance.

As a Customer Experience Data Science Intern, you will analyze data using SAS and Python to solve business problems, develop propensity models, and support AI projects while communicating findings effectively.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

Lead and manage a team of data professionals in delivering analytics solutions, improving business insights, and fostering partnerships with various stakeholders.

Lead the Promotional Media Data Science team, overseeing causal inference, experimentation, and analytics to optimize promotional strategies and enhance member experience at Netflix.

Lead a diverse team in data science and analytics, optimizing the Netflix streaming product by scaling analytics and applying methodologies for business impact.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

Lead the Global Analytics team at Hitachi Vantara, driving data-driven decision making by managing data analysis projects and mentoring analysts.

The role involves mentoring junior analysts, driving business performance through data analytics, collaborating with various teams, and ensuring analytical strategies align with business goals.

Lead and scale the Analytics and Data Science functions, empowering teams to deliver insights that drive business outcomes and foster a data-driven culture.

Lead data initiatives, develop machine learning models, conduct analysis to improve programs, and collaborate with cross-functional teams to drive results for health insurance enrollment.

Lead development and deployment of clinico-molecular data products by applying bioinformatics, ML, and large-scale data integration. Communicate and educate internal and external partners, collaborate with research teams, and build reproducible analytical workflows, QC, and statistical analyses to support biomarker and drug-target discovery.

Lead complex analytical projects, collaborate with C-suite to drive data-driven decisions, improve business performance with data modeling and analytics.

The Manager leads the Predictive Analytics and Data Science team, develops predictive models, and collaborates with cross-functional teams to drive data-driven solutions in healthcare.

The Data Engineer will execute data architecture projects, manage data ingestion processes, ensure data quality, and transition data to new systems while collaborating with investment teams.

The Analyst, Data Science role involves analyzing complex datasets to drive business outcomes in Ventas' Senior Housing portfolio through predictive modeling, data visualization, and collaboration across teams.

The Manager, Data Science - Oncology will lead data engineering initiatives, optimize workflows, and support data projects, specifically in Oncology R&D. Responsibilities include developing data pipelines, managing a technical team, and collaborating with stakeholders to deliver data solutions.

The Director of Data Science will lead AI/ML and GenAI initiatives, oversee project delivery, and mentor a data science team, focusing on life sciences.

Lead AI/ML and GenAI initiatives across life sciences clients, focusing on scaling offerings, driving growth, and delivering innovative solutions.

As a Data Science Intern, you'll learn to translate business challenges into statistical problems, analyze large datasets, build machine learning models, and communicate insights effectively.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Lead marketing data science efforts, overseeing analytics and machine learning strategies to enhance user acquisition, engagement, and retention. Mentor a team and communicate data insights to executives to influence marketing and budget decisions.

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

The role involves leading data science initiatives, managing large datasets, developing predictive models, and building a high-performing analytics team.