Top Data & Analytics Jobs

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.

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

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 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.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

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

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.

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

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.

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

Perform data analysis, build statistical models, and manage machine learning pipelines for product experiments, focusing on large datasets.

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

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

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