Top Software Data Science Jobs

Build and optimize machine learning models, analyze structured and unstructured data, perform feature engineering and evaluation, and identify insights for business decisions. Create dashboards and data visualizations, communicate findings to technical and non-technical stakeholders, improve data quality, and maintain data integrity and confidentiality in regulated healthcare-related environments.

Build and deploy production-grade LLM applications, AI agents, models, and scalable RAG pipelines for investment and business workflows. Architect secure MCP integrations with enterprise systems, establish MLOps and LLMOps practices, optimize model performance and latency, and develop evaluation, monitoring, governance, and rollback processes. Collaborate with data engineering and platform teams to provide secure, governed access to organizational data.

Design and operationalize ArcGIS- and Python-based geospatial data science workflows supporting CISA’s critical communications infrastructure mission. Perform spatial statistics, predictive modeling, network analysis, infrastructure mapping, and data validation. Publish web maps, scenes, and analytical services; support dashboards, briefings, training, stakeholder requests, emergency events, and classified enterprise environments. Produce formal reports and documentation while providing surge support during national security and emergency preparedness events.

As a Data Scientist, you will advance applied ML capabilities for healthcare, develop LLM-based chart abstraction techniques, and enhance data science best practices.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

As the first Data Scientist, you will analyze user data and AI outputs to enhance content creation, define metrics, conduct A/B testing, and collaborate closely with cross-functional teams to improve product features.

Perform end-to-end data science work: clean and prepare structured and unstructured data, design experiments, build and deploy ML/NLP models, create visualizations and BI products, support ETL and data engineering, document findings, and collaborate with stakeholders to deliver analytics for audits, investigations, and fraud detection.

The Research Intern will assist in data curation, exploratory analysis, and implementation of machine learning models in healthcare applications.

Evaluate and annotate physics content, create problem sets and technical documentation, and assess AI-generated responses for scientific accuracy. Contribute to dataset creation and provide expert feedback to improve AI model training. Collaborate remotely with project teams to ensure timely, high-quality deliverables and improve evaluation methodologies.

Design realistic, multi-step data analysis benchmark tasks and create reproducible reference analyses. Evaluate AI-generated analyses for correctness, statistical validity, and interpretation. Collaborate with researchers to improve benchmark quality and document methodologies in Jupyter/Colab notebooks.

Lead and coach a team of four data scientists to build productionized analytics and models for B2B Sales and Customer Success. Set roadmap with GTM partners, deliver forecasting, pipeline and health scoring, champion AI-driven automation and self-serve analytics, and represent insights to senior commercial stakeholders.