Data Scientist Jobs in Utah, United States

Defense Systems Digital Enablement (DE) team in Northrop Grumman’s Strategic Deterrence Systems division builds predictive maintenance solutions for the Sentinel Weapon System. The role develops cloud‑based data architectures, creates statistical and machine‑learning models to forecast Remaining Useful Life of components, and collaborates with reliability engineers and customers to align the CBM+ tech stack.

Northrop Grumman seeks a Data Scientist/Principal Data Scientist to join its Aeronautics Systems team in Clearfield, UT. The role focuses on building data mining architectures, statistical reporting, and data visualization to uncover insights from large datasets. Candidates will develop data collection systems, design data models, and communicate findings to stakeholders.

MGM Resorts International seeks a Principal Data Scientist to lead advanced AI/ML initiatives that personalize guest experiences and drive commercial performance. The role involves designing, building, and deploying predictive models, managing end‑to‑end data pipelines, and collaborating with engineering, analytics, marketing, and product teams.

Analytics Department at Snap Finance uses data, machine learning and statistical modeling to drive financing solutions. The Data Scientist builds and validates predictive models, designs experiments, and analyzes large transaction datasets to support Sales and B2B Marketing.

Data Scientist role at Waystar focuses on leveraging large, diverse data sets to drive actionable insights for healthcare payment solutions. The position involves designing, developing, and programming analytical methods, building automated data pipelines, and creating predictive models that enhance product features and business decisions.

Progressive Leasing’s Data Science team builds data‑driven products in FinTech, blending analytics, machine learning, and software engineering to drive business impact. The role develops and improves decision systems and predictive models, explores new data sources, and prototypes in‑market experiments with cutting‑edge algorithms.

As a Senior Data Scientist on the Marketplace Product Data Science team at Shipt, you will collaborate closely with product managers, engineers, and fellow data scientists to deepen customer understanding, build predictive models, and design & measure experiments. Your role involves applying causal inference and experimentation methods to drive insights in customer acquisition, engagement, retention, and loyalty.

Ken Garff Automotive Group seeks an Applied Data Scientist to build AI‑ready data, develop predictive models, conduct experiments, and translate insights into business outcomes. Responsibilities include data quality, statistical modeling, forecasting, recommendation algorithms, A/B testing, and collaboration with engineering and stakeholders.

Data & AI team at nCino builds intelligent automation for banking. The Senior Data Scientist designs, deploys, and monitors machine learning models, collaborates with cross‑functional stakeholders, and guides teams on best practices.

Senior Data Scientist at Mastercard will develop and drive data‑driven open banking solutions, focusing on affordability/credit decisioning and identity/income verification. Responsibilities include applying advanced data science techniques to large datasets, building interactive dashboards with Plotly Dash, collaborating with data engineers, communicating with stakeholders, conducting customer trials, proposing new data sources, and ensuring reproducibility and governance.

Analytics team at Snap Finance uses data science and experimentation to drive customer acquisition, engagement, and retention across financial products. The Data Scientist II builds and validates segmentation, personalization, and attribution models, designs A/B tests, and translates insights into actionable marketing strategies.

Waystar’s Data Science team builds predictive models and recommendation systems to streamline healthcare payments. The Sr Data Scientist designs, deploys, and monitors ML solutions, collaborates with engineering for production, and mentors junior analysts.

As a Principal Data Scientist at Epicor, you will be the technical leader driving advanced analytics, machine learning, and AI strategy across our product ecosystem. You will guide data scientists and analytics engineers, shape the technical architecture of ML solutions, and ensure our analytics experiences are impactful, intuitive, and aligned with real customer use cases.

Data Scientist with experience in healthcare software. Solve technical, data-driven problems using statistical and machine learning methods.

Snap Finance is a consumer finance company that uses data, machine learning, and a human approach to offer flexible financing solutions. The Data Scientist II role strengthens the analytics department, focusing on supporting Sales and B2B Marketing.

Data Scientist role focused on solving healthcare problems using machine learning and predictive modeling. Collaborates with product, engineering, and operations teams to design experiments, process data, and translate real-world challenges into mathematical solutions.

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon.

Data Science team at Progressive Leasing builds data‑driven products for the FinTech space, turning analytics into competitive advantage. The Data Scientist designs, implements and improves decision systems and predictive models, explores new data sources, runs in‑market experiments and prototypes cutting‑edge solutions.

Progressive Leasing’s Data Science team builds data‑driven products in FinTech. As a Data Scientist you blend analytics, data mining, machine learning, and software engineering to develop predictive models and decision systems that drive business impact.