Staff Data Scientist

Xometry is seeking a visionary and results-oriented Staff Data Scientist to lead data science across key product and business problems, using analytics, experimentation, statistical methods, and machine learning to drive better decisions and measurable outcomes. As a founding Data Scientist for Xometry’s India PDT team, you will also help establish strong data practices, build cross-region trust and collaboration, and foster a culture of innovation and execution as the organization scales.

Responsibilities

Lead data science across key product and business problems using analytics, experimentation, statistical methods, and machine learning; Drive AI-Enabled Software Development by championing the adoption of AI across the SDLC; Define metrics to measure product and business performance; Analyze data to identify opportunities, issues, and key business drivers; Turn insights into actionable recommendations and estimate business impact; Build dashboards and visualizations to track performance and trends; Design experiments to measure the impact of product and business changes; Apply statistical and causal inference methods to draw reliable conclusions from data; Build and evaluate predictive models; Apply machine learning and statistical modeling to improve decision-making and automate business processes; Prepare and analyze large datasets using cloud platforms such as AWS and Snowflake; Use SQL, Python, Jupyter Notebooks, Looker, and related tools to analyze data and generate insights; Partner with Product, Engineering, and business teams to shape strategy and priorities; Communicate insights, model results, and recommendations to stakeholders; Serve as a founding Data Scientist establishing strong data science practices and building a high-performing team; Set a high technical bar and mentor other scientists

Requirements

8+ years of progressive data scientist experience, with a significant portion in a strategic or staff/principal/director-level role; Bachelor’s degree required; 5+ years of experience with statistical modeling, and optimization techniques; Proficient in Python; Proficient in linear algebra and statistics; Familiar with scientific software principals, e.g. versioning systems, reproducibility

Nice to have

Degree in applied math, computer science, natural sciences or engineering preferred; M.S. or Ph.D. in a related field highly desired; Python (pandas, numpy, SciPy, scikit-learn) preferred; Experience in manufacturing industry desired

Benefits

Play a critical role in driving profitable growth and shaping the future of manufacturing through an AI-powered platform; Partner directly with executive leadership on high-impact strategic decisions; Contribute to a data-driven team focused on transformation, aggressive growth, and building sophisticated technology solutions