Top Data Science Jobs

Lead end-to-end data science projects at Poshmark, focusing on machine learning, model development, and business impact. Collaborate with cross-functional teams and innovate with AI technologies.

The Data Scientist will analyze marketing data, develop AI insights, enhance AI capabilities, and collaborate with teams to build data-driven products.

The Data Scientist will design experimentation frameworks, analyze ad performance, build data pipelines, and develop data science models to influence marketing strategies.

The Data Scientist will analyze large datasets using statistical software to identify insights and present findings to stakeholders, manage projects, and apply machine learning techniques.

Data Scientist needed to analyze customer interactions, optimize product analytics infrastructure, ensure data quality, and generate insights using classical and LLM methods.

The role involves leading data quality management efforts, creating data management capabilities, and mentoring junior data scientists.

The Data Scientist will enhance methodologies, conduct research using NPD data, apply statistical and machine learning techniques, and communicate results effectively.

The Data Scientist Level 3 role involves analyzing large datasets, developing models, and communicating findings to non-technical audiences, requiring significant experience in data science and related fields.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

The Early Career Data Scientist/Economist will use their expertise in economics and data science to drive strategic decision-making, develop forecasts, and collaborate on analytics strategies at EvenUp.

The Staff Data Scientist will leverage data-driven insights to optimize customer engagement and retention through machine learning and analytics, communicate findings, and collaborate with cross-functional teams.

Design and implement data pipelines, perform root cause analysis, ensure data accuracy, conduct exploratory analysis, develop predictive models, and create visualizations to optimize risk segmentation and support decision-making.

As a Senior Quantitative Data Scientist, you will ensure data quality, apply analytical methods for evidence generation, and collaborate with cross-functional teams to meet data strategy and analytic priorities.

The Data Scientist will build predictive models, analyze complex datasets, collaborate with engineering teams, and enhance operational efficiency through data science solutions.

The Data Scientist will analyze and model data related to ad-tier members, focusing on identity modeling and improving ad targeting capabilities, while collaborating with cross-functional teams.

As a Data Scientist, you will enhance sponsored search capabilities, conduct data analysis, build dashboards, optimize ranking models, improve personalization, and support retrieval systems.

As a Data Scientist I on the Integrity team, you will analyze user behavior and develop metrics and models to support product decisions, improving user experience through data insights and experimentation.

Lead data scientist role focused on developing data-driven product strategies, analyzing complex datasets, and deploying machine learning models to enhance user experience on the GeminiApp team.

The Data Scientist will develop AI solutions, implement machine learning models, and manage data pipelines on AWS while collaborating with stakeholders.

As a Data Scientist at Wyetech, develop strategies for analyzing large datasets, communicate findings, and assist others in data-driven decision-making for federal clients. The role emphasizes mathematical and statistical modeling as well as programming skills.

Drive pricing and yield optimization at GoFundMe by applying economics, behavioral science, and machine learning. Lead experimentation, model decision-making, and translate insights into action, while ensuring high standards for modeling and collaboration with product teams.

As a Data Scientist, you will analyze user revenue growth, conduct experiments, interpret data, and collaborate to improve customer experiences.

The Data Scientist will analyze labor market trends and create models and visualizations to derive insights for products and services, requiring strong statistical and machine learning skills.

The Data Scientist will analyze large datasets, design machine learning models, collaborate on data management, and present findings to stakeholders.

Join Modo Energy as a Data Scientist to enhance power market forecasts using complex data, develop models, and collaborate across teams.