Top Senior Data Science Jobs

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 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.

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 develop models and algorithms for data insights, design analytics platforms, automate pipelines, and collaborate with stakeholders to create scalable data solutions.

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.

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.

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.

The role involves analyzing complex data related to private markets, developing data models, creating visualizations, and collaborating on data-driven products.

Lead measurement and experimentation for the Identity product, define metrics and frameworks, design A/B tests and causal analyses, build datasets and dashboards, quantify growth vs. abuse trade-offs, and partner cross-functionally to inform product strategy.

As a Data Scientist, develop analytical approaches, lead technical data science, create innovative solutions in big data, and support stakeholders' needs.

As a Senior Data Scientist, you will analyze data to support Air Force mission solutions, develop data tools and algorithms, and communicate findings.

Use data science to source, ingest, clean, transform, analyze, and visualize structured and unstructured data in WDP. Develop dashboards and data products (Databricks, SQL, Python, Tableau/Qlik), create visual narratives, and brief senior DoW leadership to support IT portfolio management.

Build and deploy credit risk models for acquisition and account management. Create datasets and features from traditional and non-traditional sources, collaborate with credit, product, and engineering partners, run experiments, and monitor models in production to enable responsible lending decisions.

The Staff Data Scientist leads machine learning initiatives for personalization and optimization. Responsibilities include causal measurement, LTV model development, and technical leadership across data science teams, partnering with cross-functional teams to align strategies and impact revenue outcomes.

Design, refine, and operationalize geospatial analytic models; structure GEOINT attributes into defensible scoring frameworks; automate workflows and build dashboards; integrate models with analytic platforms (ArcGIS); work with analysts and leadership to ensure tradecraft integrity, transparency, and repeatable mission-focused outputs using Python and SQL.

The Data Scientist will collaborate with teams to shape product strategy using machine learning and econometric models on large datasets, measuring outcomes and designing data-driven solutions.

As a Staff Data Scientist, you'll design and optimize ML systems for claims handling automation, collaborating with product and engineering teams.

As the Staff Data Scientist, you will lead the data science function, driving strategy, mentoring peers, and shaping product direction through advanced analytics and experimentation.

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.