Top Software Data Science Jobs

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.

The Data Scientist will analyze large datasets using statistical software to identify insights and present findings to stakeholders, manage projects, and apply machine learning techniques.

The Senior Data Scientist will lead the modernization of Impact's identity graph infrastructure by auditing and improving its construction, quality, and resolution methods, while collaborating with external partners and maintaining documentation and research.

The Data Scientist will develop and analyze complex queries on large datasets, manipulate structured and unstructured data, and provide analytic support using various tools and techniques in clustered computing environments.

The Senior Manager, Data Analytics leads global Supply Chain analytics, producing insights, managing dashboards, and guiding a team of analysts to drive data-driven decisions across the organization.

Lead and hands-on manage a product Data Science team focused on app experience and data marketplace. Drive AI-native deliverables (agentic services, semantic views), validate AI/ML and LLM outputs, build POCs, mentor teammates on DS and governed generative AI usage, partner with product and engineering stakeholders, and grow team impact and hiring.

Seeking a Senior Data Scientist to collaborate with Product and Engineering teams, develop data models and analytics frameworks, and influence product enhancements using SQL and Python.

Own the complete data science lifecycle for a flagship predictive modeling project. Responsibilities include analyzing and engineering multi-source data, building production-grade pipelines, developing and deploying supervised, unsupervised, reinforcement, deep learning, NLP, and forecasting models, monitoring performance, documenting work, communicating insights, and mentoring junior team members.