Top Data Science Jobs

The Data Scientist will develop solutions using AWS, validate data formats, maintain source code in GitHub, and collaborate with teams on collection capabilities.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

As a Senior Data Scientist, you'll utilize your leadership and expertise to analyze complex data sets, create insights, and guide teams to solve global challenges using machine learning and AI technologies.

The position involves unlocking insights from data sets using IoT and AI, developing algorithms, and collaborating with clients to solve data-driven problems.

As a Data Scientist, you will perform complex data analytics, applying AI methodologies to address real-world problems in a collaborative environment.

The Data Scientist develops analytics and AI solutions for pricing and forecasting, manages data assets, models, and tools, while ensuring scalability and governance. Responsibilities vary by level, from independent model design to mentoring and leading AI initiatives.

The Staff Data Scientist will lead data science projects focused on fraud detection, analyze complex datasets, and mentor junior scientists while driving strategic initiatives.

The Data Scientist II role involves developing scalable analysis frameworks, building monitoring systems, enhancing data pipelines, and facilitating model improvements for customer success while collaborating across teams.

The Data Scientist will develop and deploy machine learning models to improve manufacturing and supply chain processes, leveraging enterprise analytics platforms.

The Staff Data Scientist will partner with teams to enhance Moloco's creative systems through data strategy, measurement frameworks, and product influence, ensuring competitive advantage.

As a Data Scientist at Profound, you'll build predictive models, optimize AI-driven brand visibility, and turn data insights into actionable strategies. Requires proficiency in Python, R, and SQL, with 3+ years of analytics experience.

As a Data Scientist focusing on unit economics, you'll develop models to analyze customer LTV, guide pricing strategies, and collaborate with various teams to drive business decisions based on economic insights.

The Staff Data Scientist will lead data science projects, build ML models, develop AI solutions, and mentor junior staff while integrating data-driven insights into business operations.

The Staff Data Scientist will advance machine learning models to optimize claim audits and improve business outcomes in healthcare.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

As a Data Scientist at Sleeper, you will analyze user behavior, build analytics systems, and develop risk insights to improve user experience and integrity on the platform.

The Data Scientist Level 3 role involves extracting value from large datasets using advanced modeling, statistical analysis, and effective communication of data insights, demanding significant experience in data science and machine learning.

The intern will assist the data science team by working on projects related to Ardian's portfolio assets and company-wide initiatives, requiring autonomy with supervision.

As a Data Scientist at Booz Allen, use analytical skills to solve complex problems using data. Develop predictive models and algorithms from structured and unstructured data to provide insights for decision-making.

As a Mid Data Scientist, you will analyze data, develop models, and utilize machine learning techniques to solve client challenges across various sectors.

Drive disease modeling using statistical, epidemiological, and machine learning techniques. Collaborate with engineering and product teams on data-driven healthcare solutions.

The Data Scientist will apply AI/ML techniques to optimize workflows in Computer Network Operations, analyze datasets, and develop data-driven solutions. Responsibilities include collaboration, documentation, and adapting to dynamic mission needs.

The Data Scientist will apply machine learning and statistical analysis to support mission analysis, develop analytical tools, and visualize complex datasets for insights.

The Data Scientist will develop data-driven solutions, integrate APIs, manipulate data using Python, analyze large datasets, and collaborate with teams.

The Sr. AI & Data Scientist architects and delivers AI/ML solutions for healthcare, mentoring others, and partnering with leaders to achieve measurable outcomes.