Top Data Science Jobs

The Data Scientist will develop analytics solutions, analyze data, and collaborate with stakeholders to deliver insights for business improvement. Responsibilities include owning analytics projects and mentoring junior data scientists.

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.

As a Senior Data Scientist, you will utilize machine learning and data programming to analyze complex datasets, develop algorithms, and provide insights to clients to tackle global challenges, particularly in sectors like fraud detection and cancer research.

As a Senior Data Scientist, you'll analyze data to solve complex problems using machine learning and statistical methods. You'll lead projects, develop algorithms, and work closely with clients to derive insights from data.

As a Senior Data Scientist, you will engineer solutions using AI, build scalable ETL pipelines, and work with complex data analysis, mentoring others in the process.

The Senior Data Scientist will develop analytic solutions for fraud prevention, lead analytic client engagements, and communicate strategies across various industries, predominantly in financial services.

As a Senior Data Scientist, you will embed machine learning in operations, guide modeling, collaborate with engineering teams, and mentor talent to enhance data science capabilities.

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

The Senior Data Scientist leads advanced analytics and AI/ML model development, focusing on statistical modeling, market share analysis, and strategic analytics while mentoring juniors and ensuring responsible AI practices.

The Senior Data Scientist will optimize HVACR system performance using machine learning, develop data solutions, and work collaboratively across teams to enhance technical applications.

The Data Scientist collaborates with stakeholders to develop machine learning applications, analyze data, and enhance team operations, improving processes with data-driven insights.

The Data Scientist will analyze business data, build reports, and visualizations, mentor analysts, and collaborate with stakeholders to drive data-driven decision-making.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Data Scientist will analyze workforce data to support job reclassification, utilizing advanced analytics, NLP, and machine learning techniques.

As a Data Scientist, you will analyze complex data sets, build machine learning models, and work in a team to provide solutions, ensuring data security and optimization.

The Data Scientist will analyze complex data, build predictive models, and collaborate with teams to innovate technical solutions and optimize processes.

Lead advanced analytics efforts for a Federal government client, develop data strategies, enhance data capabilities, and deliver insights using AI and data visualization tools.

As a Data Scientist, you will identify opportunities using data to shape product decisions, develop metrics, and influence strategic partnerships across teams.

The Senior Data Scientist will develop metrics for system availability and reliability, analyze performance, and collaborate across teams to enhance Netflix's infrastructure.

The Data Scientist II will develop statistical models and algorithms for insurance interventions, improving customer lifetime value and enhancing conversion/retention using machine learning techniques.

The Staff Data Scientist will optimize ads delivery, lead experimentation, mentor junior scientists, and communicate findings to stakeholders. They will work with product and engineering leaders to evolve strategy and improve tools for analyzing ads performance.

As a Data Scientist III, you will drive the analytics roadmap, providing descriptive and predictive solutions using data mining, statistical, and machine learning techniques while collaborating with various teams.

Lead data science strategy for Accounting, Finance, and Payments. Build ML/AI systems (including LLM workflows) for forecasting, fraud detection, anomaly monitoring, and financial automation. Architect data pipelines, models, and dashboards while advising finance leadership and scaling analytics capabilities.

The Data Scientist will analyze financial datasets, develop predictive models, and collaborate with stakeholders to enhance data-driven decision-making in wealth management.

Lead design and deployment of graph ML and network-biology analyses to generate drug target hypotheses from RWD and multi-omic data. Prototype methods, integrate solutions with engineers, prioritize tasks, and communicate results to cross-functional stakeholders while championing data science best practices.