Top Data Science Jobs

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.

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.

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 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.

As a Junior Associate in AI Science, you will assist in developing AI solutions, conducting data analysis, and collaborating with cross-functional teams to enhance data-driven decision-making.

As a Staff Data Scientist at 15Five, you'll develop and integrate AI/ML models into performance management systems, conducting data analysis and statistical modeling to enhance business insights and outcomes.

The Senior Data Scientist will develop advanced analytics to enhance product value, mentor junior members, and lead initiatives in healthcare commercialization.

As a Staff Data Scientist, you'll lead measurement frameworks, predictive models, and AI analytics in marketing and product, driving user engagement and business outcomes.

Design, build, and maintain data analytics and ML solutions to support CRM, marketing, demand planning and business strategy. Query large datasets, develop and test machine learning models, perform quantitative analysis, and deliver actionable insights and visualizations to drive data-driven decisions.

The Data Scientist will conduct complex data analysis, lead projects, and collaborate with teams to drive data-driven decisions, focusing on secure environments.

The Data Scientist 2 will support the Model Management team by analyzing datasets, developing analytics, and building predictive models using Python, R, and machine learning frameworks.

The Data Scientist will develop machine learning, statistical algorithms, and data analysis to understand signals data, requiring a PhD and 5+ years' experience.

The Data Scientist will support Fox's advertising initiatives by managing analytics processes, conducting deep-dive data analysis, and delivering insights through SQL and visualization tools.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Data Scientist will build and maintain machine learning models, optimize user engagement forecasts, and lead experimental designs to validate business hypotheses.

The Data Scientist II will analyze customer data, build ML models, and communicate insights to support revenue growth and risk management for Socure's clients.

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

As an Applied Data Scientist, you'll develop features that optimize customer interactions, collaborating with various teams to create effective models and evaluate performance.