Top Software Data Science Jobs

Contribute data science and statistical expertise to design analytical challenges, create high-quality training data, evaluate AI-generated solutions, build evaluation frameworks, and collaborate with researchers to improve LLM quantitative reasoning and model performance.

Lead end-to-end data science experiments on messy federal and private data: run EDAs, graph analytics and GNNs, perform probabilistic entity resolution, apply LLM-based NER, train interpretable classifiers and anomaly detectors, document reproducible pipelines, and present rigorous, statistically sound findings to operational stakeholders.

Apply quality domain expertise and advanced analytics to detect root causes, build predictive models, automate data pipelines, and translate findings into executive-level insights to improve hardware quality across the product lifecycle.

Design and implement methods to consolidate and analyze unstructured big-data sources, develop and deploy machine learning models, and generate actionable insights. Collaborate with product and service teams to define analysis questions, interpret results, and communicate findings to stakeholders to improve products and services.

Coordinate data ingestion and vendor workflows to support AI research: manage dataset onboarding, track vendor deliverables and SLAs, route datasets for technical review, document data provenance and licensing, and maintain dashboards and pipeline tracking to ensure compliance and research readiness.

The Director of Data Science leads the data architecture and team, transforming complex datasets into actionable insights and strategies that propel product development and business growth.

As a Sr. Solutions Engineer, you'll guide customers on big data solutions, collaborate on architectures, and promote Databricks projects with a focus on data engineering and data science.

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.

As a Data Engineer, you will create and optimize datasets and data pipelines, focusing on large-scale data collection across various modalities and collaborating with multiple teams.

The Data Science Intern will build matching models for Executive Partners and clients, analyze datasets for trends, collaborate with teams, present findings, and optimize models.