Top Data Science Jobs

As a Data Scientist, you will analyze, visualize, and manipulate data to provide insights, develop algorithms, and support decision-making for clients in various sectors.

The role involves maximizing data value through analytics, data science practices, cleaning data, and employing machine learning techniques. Requires collaboration on developing advanced analytics and visualizations for business intelligence.

As a Data Scientist, you'll develop machine learning models, analyze chatbot data, communicate insights, and guide junior team members.

The role involves developing and tuning financial crimes compliance detection models, conducting statistical analysis, and communicating findings to management. It requires advanced data analysis skills and experience in Python and SQL.

The Data Scientist will analyze data for AI initiatives, mentor junior scientists, develop workflows, perform statistical analysis, and automate processes using Python, while collaborating in a hybrid environment.

The Senior Data Scientist will analyze complex data sets, develop predictive models, and guide teams in leveraging data for decision-making across diverse sectors.

The Data Scientist will analyze datasets to derive insights, develop statistical models, and collaborate with teams to support data initiatives.

The Data Scientist will analyze complex data sets, develop predictive models, visualize data, and collaborate with teams to provide actionable insights for business growth.

As a Data Scientist, analyze complex data sets, develop predictive models, collaborate with stakeholders, and create data visualizations to inform business decisions.

As a Senior Data Scientist in the MAQR group, you'll develop AI/ML models to enhance business decisions, collaborating cross-functionally to drive innovation in financial services.

As a Staff Data Scientist, lead data science initiatives, develop AI/ML models, mentor team members, and drive data-driven strategy and decision-making.

The Data Scientist in Integrity will develop anti-fraud systems, collaborate with various teams, and utilize advanced models to combat abuse effectively.

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.

The role involves analyzing user behavior to prevent account sharing, developing predictive models, collaborating with teams, and ensuring data privacy compliance.

The Staff Data Scientist will lead data science projects, prioritize analyses, develop metrics, and work cross-functionally to inform business decisions. Responsibilities include rigorous analysis, stakeholder communication, and developing measurement plans for initiatives.

The Data Scientist I will develop data-driven solutions using machine learning and analytics, consult with customers, and implement geospatial techniques while also producing compelling visualizations.

The Senior Data Scientist will build data products for insights, develop a data platform, validate impact with partners, and improve technological solutions for student mental health care.

The Staff Data Scientist will lead forecasting efforts, managing revenue and cancellation modeling, automating systems, and enhancing decision-making insights from complex data.

As a Data Scientist at Waymo, you will develop evaluation frameworks, new metrics, and statistical methods for autonomous vehicle performance and collaborate with engineering teams to ensure safety and quality.

As an AI-Native Data Scientist, you will design AI solutions, develop predictive models, and build data products to enhance consumer understanding and industry performance.

As a Research Data Scientist II, you will apply statistical and machine learning techniques, working with various programming languages and data to support data-driven decision-making in healthcare.

The Data Scientist is responsible for analyzing complex data, applying AI/ML concepts, developing algorithms, and driving data-based insights for process improvement.

The Development Data Scientist Analyst designs and implements advanced analytics solutions, conducts data analysis, and collaborates with stakeholders to optimize drug development processes through predictive modeling and machine learning techniques.

The role involves developing automated dashboards and data models, collaborating with business leaders to meet reporting needs, and enhancing data solutions for analytics and decision-making.

The Data Scientist will develop advanced analytics solutions, focusing on machine learning and computer vision, lead technical initiatives, and collaborate with teams to integrate software solutions across various business divisions.