Top Data Science Jobs

Develop and maintain PowerApps and integrations, extract and analyze law-enforcement and city data, build predictive models and dashboards (Power BI/R/Python), conduct program evaluations using time-series and spatial methods, and train stakeholders to support data-informed public safety decisions.

Perform reproducible analyses on large administrative datasets, build and validate statistical and econometric models for causal inference and forecasting, translate results into dashboards and reports, and document methods while ensuring privacy and data governance compliance.

Lead product-focused data science work: define and track metrics, design and analyze A/B tests, evaluate model and agent performance across conversations and workflows, perform root-cause analyses, build statistical models and dashboards, and partner with Engineering and ML teams to improve instrumentation and data quality.

Lead and deliver end-to-end data science projects: design, build, deploy, and monitor ML/statistical models for credit risk, pricing, collections, and fraud. Partner with cross-functional teams to integrate models into production, set model development standards, mentor engineers, and maintain reliable ML pipelines and monitoring systems.

As a Senior Data Scientist, you will develop technologies for signals exploitation, perform data analysis, and implement algorithms while collaborating with project teams.

Lead data-science work for matching features: translate product goals into data problems, design and analyze A/B tests, perform exploratory analysis and data mining, generate strategic insights, and collaborate with AI, product, design, and engineering to develop and iterate production ML models.

Act as an internal consultant solving business problems using data: pull data from SQL, analyze with Python/R/Excel, test statistical significance, visualize in Tableau, and present findings. Partner with data engineers to operationalize work, participate in Agile sprints and frequent stakeholder collaboration, and work onsite regularly in Costa Mesa, CA (within 100-mile radius).

Lead analytics for new-user activation and early-life product experiences. Design and analyze experiments, partner with product/engineering/design, build data foundations, and recommend product changes to improve user retention and habit formation.

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

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.

Perform complex big-data analysis for a DIA OSINT team: identify trends, interpret multi-source results using statistical and data-mining techniques, design and implement solutions, prepare big data, and develop data models and databases to support mission solutions. Communicate findings to stakeholders. Must hold TS/SCI clearance and meet experience/education requirements.

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.

Design and implement AI/ML solutions and advanced analytics for multi-source intelligence. Perform statistical modeling, exploratory analysis, data engineering, automation, and visualization to produce actionable intelligence and support JIOC operations. Collaborate with analysts and engineers, improve data quality, and participate in intelligence planning and technical meetings.

Perform large-scale data analysis and modeling using Hadoop ecosystems and general-purpose languages (Java, Python, R). Apply statistical techniques and machine learning on big datasets, develop creative solutions, visualize patterns, and work independently within a research-oriented team. Strong communication and rapid conceptual learning are expected.

Perform statistical computing using linear programming to identify and extract required data from Oracle databases. Design and write SQL queries to extract and export data, analyze results, and support equity and collateral optimization business needs. Strong communication and database analytical skills required for a 6-month contract.

The Data Scientist will build predictive models, drive forecasting, design experiments, and translate findings for stakeholders, optimizing healthcare operations.

Integrate and analyze large, disparate datasets using statistical methods and machine learning to generate actionable business insights. Build and validate predictive models, analyze unstructured data, and present findings to stakeholders. Manage project budgets and timelines, and apply industry knowledge to deliver on-time, on-budget analytics solutions.

The Senior Data Scientist will design and implement machine learning solutions, conduct advanced statistical analyses, and manage data-related tasks, requiring a high level of expertise.

Perform statistical analysis, predictive modeling, and data visualization on workforce and training data. Build dashboards, produce ad hoc analyses and decision-support products, advise on data governance/privacy, and collaborate with stakeholders to define metrics, deliverables, and reproducible analytic workflows.

Design and implement data science solutions: ingest and clean data, build ETL pipelines, develop predictive models and algorithms, create visualizations, lead teammates, and deliver analytic products for intelligence and commercial clients while maintaining classified clearance requirements.

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.

Work with clients to analyze large, structured and unstructured data sets, build ETL pipelines, develop machine learning models and automated analytic software, produce visualizations, guide teammates, and translate insights into actionable recommendations for public- and private-sector problems.

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

This role involves developing and implementing statistical models, leading data science techniques, applying machine learning to business challenges, and communicating insights to stakeholders.

Use statistical and causal inference methods to build, implement, and monitor marketing models (Bayesian MMM, multi-touch attribution), analyze A/B and uplift tests, partner with marketing to test and drive data-informed decisions from large web-product datasets.