Top Data Science Jobs

The Data Scientist II will drive insights, develop models, and analyze product experiments to inform business decisions and improve member experiences in healthcare.

Partner with IT, Operations, and Engineering to design, build, and deploy data pipelines and analytics for Quality processes. Lead technical projects, translate business requirements into production-ready data solutions, perform data cleaning, modeling, exploratory analysis, and validate statistical and machine learning models; support visualization and training for new digital solutions.

Partner with clients to ingest, clean, transform, and validate data for aiCast. Build ETL/ELT pipelines, dashboards, and forecasting workflows. Deliver end-to-end implementations, troubleshoot data quality, and collaborate with engineering and success teams to enable production analytics and insights.

Lead data science for Search & Discovery: analyze customer search interactions, design and measure experiments, build datasets and analytics pipelines, and optimize ML/LLM ranking models to improve relevance and personalization.

Partner with product, operations, and leadership to develop end-to-end predictive and prescriptive models. Frame ambiguous business problems, perform feature engineering and validation, deploy and monitor models in production, design human-facing outputs, run experiments/causal analyses, and use modern AI/LLM tools responsibly. Communicate insights to influence decisions and help grow Vanguard's analytics practice.

Execute data science projects: build and validate models, wrangle large-scale data, run experiments, assist production deployments, and communicate results to technical and non-technical stakeholders while learning AI-native practices.

Apply quality domain expertise and advanced analytics to detect root causes, build predictive models, automate data pipelines, and translate findings into executive-level insights to improve hardware quality across the product lifecycle.

Perform quantitative real estate and urban economic analysis, applying econometric and spatial methods to synthesize property, macroeconomic, and geospatial data. Build and maintain automated data pipelines, ensure data integrity, document dataflows, and prototype ML/AI methods. Collaborate with research, GIS, and engineering teams to produce reproducible insights and analytical products for stakeholders.

The Lead Data Scientist will manage projects on credit risk and business intelligence analytics, leveraging statistical models to provide insights for financial services clients. Responsibilities include developing solutions, leading client engagements, and mentoring junior staff.

The Data Scientist will develop agent-based workflows and AI features for CAS products, emphasizing software development and collaboration with teams.

The role involves building predictive cohort models, analyzing data to drive business insight, collaborating with teams, and mentoring junior analysts.

As a Senior Data Scientist, you will analyze complex datasets, develop algorithms, and provide insights to clients using machine learning and statistical methods. You'll lead projects, collaborate with teams, and apply data visualization to solve global challenges.

The Senior Data Scientist will analyze data sets, develop algorithms, create ETL pipelines, and provide insights for informed decision-making across various sectors like fraud detection and healthcare.

As a Data Scientist, you'll analyze complex data to extract insights and guide clients' decisions through statistical methods and machine learning techniques while leading teams on missions that require deep data solutions.

As a Senior Data Scientist, you'll analyze complex data to provide insights, develop algorithms, and lead teams to address clients' questions using machine learning and predictive modeling methods.

As a Senior Data Scientist, you will leverage programming languages and analytical techniques to transform complex datasets into actionable insights, guiding clients in decision-making.

The role involves using data science skills to extract insights from data, develop algorithms, and create analytics solutions for clients across various sectors, particularly in fraud detection, cancer research, and national intelligence.

The Senior Data Scientist will analyze foreign warfare threats, conduct technical analysis, and produce intelligence products using diverse data collection methods and scientific techniques.

The Data Scientist II will design, build, and deploy machine learning models and data products, translating business problems into data-driven solutions, while collaborating with various stakeholders and ensuring reliable, production-ready outcomes.

The Data Scientist will leverage machine learning to enhance casino operations through data analysis, model development, and stakeholder communication, focusing on improving guest experiences and operational efficiency.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

Define and execute strategy for datasets in Perception model training, improve data utilization, and establish data-driven best practices. Collaborate with teams and lead data science initiatives.

The Data Scientist will build models using statistical and machine learning techniques, conduct analyses, collaborate with teams, and improve model performance.

The Data Scientist will develop models and algorithms for data insights, design analytics platforms, automate pipelines, and collaborate with stakeholders to create scalable data solutions.

Design and optimize graph-based algorithms, develop scalable data science solutions, analyze large datasets, conduct A/B testing, and automate workflows while collaborating with cross-functional teams.