Top Data Science Jobs

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

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 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.

The Principal Plasma Data Scientist will develop and validate machine learning frameworks for plasma modeling, integrating these models with experimental workflows and collaborating with experts to enhance modeling accuracy.

The Senior Applied AI Data Scientist will build AI workflows, prototype applications, and enhance decision-support systems while collaborating with various teams to operationalize AI solutions.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

Lead end-to-end data science initiatives, developing AI solutions for personalization, marketing, and product experience while collaborating with cross-functional teams on machine learning models.

Provide reproducible data science for campus research: prepare and QA datasets, build analyses and models (statistical and ML), automate pipelines, document methods, scope collaborations, draft statements of work, and contribute to workshops, mentoring, and institute programs.

Design, implement, and maintain marketing inference models (e.g., MMM and attribution). Analyze large datasets and A/B/uplift experiments with rigorous statistics, build predictive and causal models, partner with marketing to generate testable ideas, and communicate insights to drive marketing decisions.

Develop and maintain enterprise data models, predictive and statistical models, and automated Power BI dashboards to forecast cost, schedule, risk, and performance. Integrate and validate program/project data, establish data quality standards, automate reporting workflows, and present analytical findings to executive stakeholders to support decision-making.

Senior Data Scientist supporting Intelligence Community operations. Build customized visualizations and analytic applications using Esri and Python, automate analytic workflows, apply AI/ML to structured and unstructured data, and clearly communicate technical results to stakeholders.

Perform data exploration, cleaning, analysis, and visualization; develop predictive models and algorithms using Python, SQL/NoSQL; work with structured and unstructured data; collaborate with clients and teammates to translate data into actionable insights. Role requires Top Secret clearance and a bachelor's degree.

Analyze structured and unstructured data to develop algorithms, predictive models, and visualizations. Work with clients to define problems, apply ML/AI/NLP techniques, use Python and statistical languages, manage code with Git, and communicate findings. Requires active TS/SCI clearance.

Work with clients to formulate questions, explore and clean structured and unstructured data, build predictive models and algorithms, develop automated analytic software and ETL pipelines, and create visualizations and insights to support decision-making in intelligence and commercial contexts.