Top Data Science Jobs

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.

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

The Data Scientist will develop and deploy ML models, automate workflows, and handle unstructured data while communicating effectively with stakeholders. A strong background in ML, programming, and business acumen is required.

The Data Scientist II role involves designing methods to analyze big data, developing analytical models, and using statistical tools for data mining and visualization, as well as presenting findings to stakeholders.

Work with clients to explore, clean, analyze, and visualize structured and unstructured data. Develop predictive models, NLP/text-mining and machine learning solutions, and communicate insights to support decision-making. Support algorithm development and tool selection.

Design, build, and operationalize interoperable data models, taxonomies, and ontologies; perform EDA and anomaly detection; translate unstructured data into standardized formats; implement IC/DoW/AF-compliant solutions and collaborate with stakeholders to operationalize workflows.

Lead data science projects by exploring, cleaning, and analyzing structured and unstructured data. Design data pipelines, develop predictive models, create visualizations, and guide teammates. Communicate findings clearly at both strategic and technical levels to inform client decisions.

As a data scientist, you'll analyze complex data sets, lead projects, and utilize machine learning to provide insights for informed decisions across various sectors.

As a Data Scientist, you will explore and analyze data, develop predictive models, and present findings to leadership to aid decision-making.

As a data scientist, you will analyze complex data sets to provide insights, develop predictive models, and assist clients in making data-driven decisions. You will work with various data sources and utilize machine learning techniques to solve real-world challenges.

As a Data Scientist, you will analyze data, develop predictive models, and work with machine learning techniques to solve complex problems for clients.

As a data scientist, you'll analyze structured and unstructured data to develop predictive models and provide actionable insights for clients using machine learning and AI techniques.

As a data scientist, you'll analyze complex data sets, develop algorithms, create data visualizations, and collaborate with clients to derive actionable insights.

As a data scientist, you'll analyze data for insights, develop algorithms, and support decision-making using statistical programming and BI tools.

The Data Scientist will define success metrics for recruiting systems, design measurement frameworks, and translate signals into impactful decisions while collaborating with Product and Engineering teams.

The Senior Director & Data Scientist will lead a team to use advanced statistical techniques and machine learning models, communicating insights to drive decision-making and enhance competitive advantage in the insurance market.

The Data Scientist will analyze large healthcare datasets and present findings to stakeholders to influence TRICARE program decisions. Responsibilities include oversight of datasets, supporting decision-making, and translating analytics into actionable insights.

Interns will gain practical experience with AI/ML projects, mentorship from senior data scientists, and contribute to impactful solutions for clients.

Design and implement data science solutions: prepare and analyze datasets, develop and validate machine learning models, create visualizations, communicate findings to stakeholders, and apply cloud and operationalization best practices to deliver production-ready analytics.

The Data Scientist will leverage AI and machine learning to optimize operations, enhance customer experiences, and drive strategic decision-making across the business, working closely with various stakeholders.

The AI Data Scientist will develop AI/ML models, optimize operations, and enhance customer experiences by leveraging advanced analytics across Hunter Douglas's business functions.

The Data Scientist I will develop machine learning solutions, analyze large datasets, and collaborate with cross-functional teams to drive growth.

As a Data Scientist, you'll analyze complex data sets to provide insights, develop algorithms, and guide decision-making for global challenges. You'll work in collaborative environments with clients on diverse applications from fraud detection to healthcare.

The Geospatial Data Scientist Intern will analyze large datasets, assist with data processing automation, and conduct statistical analysis for various projects.