Top Data & Analytics Jobs

Conduct research using data mining and statistical modeling to derive insights from large unstructured data sets for investment decisions.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

The Data Scientist will identify new datasets, build tools for data ingestion and cleaning, analyze data, and support trading operations.

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 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 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.

Analyze and interpret complex data sets, develop predictive models, collaborate with teams, create visualizations, and communicate insights.

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.

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.

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.

The Open Science Data Steward will manage research data lifecycle, ensure data quality, support integration with AI systems, and foster collaboration with researchers.

The Data Scientist will design experiments, monitor metrics, build dashboards, evaluate data sets, and perform data analysis to inform operational decisions.

Looking for a Data Scientist with experience in ML and AI alignment research to work on client projects and alignment research.

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

This role involves managing Sales GTM analytics and data science, ensuring data integrity, and providing actionable insights for Sales performance using various analytical tools and frameworks.

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

Lead digital marketing measurement and data science, analyze digital data, develop statistical models, and collaborate with marketing teams for optimization and insights.

Analyze large data sets, build predictive models, automate data collection, and collaborate with teams to enhance decision-making and performance.

As the first Data Scientist at Hang, you will analyze data to drive insights, develop predictive models, collaborate with teams, visualize data, and contribute to data strategies.

As a Data Scientist, you will define metrics, design A/B tests, and create dashboards to improve data-driven product development at OpenAI.

Provide advanced analytical support by interpreting data, programming for data cleaning, leading data experiments, and collaborating with analysis teams for intelligence products.

Collaborate to enhance product through analytics, conduct data exploration on user behavior, and present insights to influence product decisions.

The Data Scientist will apply advanced statistics and machine learning to analyze data, design prediction algorithms, and collaborate with engineering for insights and improvements.

Responsible for driving the technical roadmap, developing prediction models, collaborating across teams, and mentoring new talent while delivering data-driven insights.

The Assistant Manager will lead data governance and analytics, manage the Data Warehouse systems, ensure data security, and develop policies for data management and compliance.