🕒 20 days ago
Provide technical leadership for Claims Fraud, building production machine learning and generative AI systems that improve risk decisioning, automate claims workflows, and deliver robust, measurable outcomes.
Staff Data Science Analyst
📅 Aug 26
Data ScienceAnalyticsAI-enabled Software DevelopmentExperimentation
📜 Description
- Champion AI adoption across the software development lifecycle to accelerate data analytics.
- Define performance metrics, analyze business drivers, and turn findings into recommendations with estimated impact.
- Build dashboards and visualizations to track performance and trends.
- Design experiments and apply statistical and causal inference to assess product and business changes.
- Develop and evaluate predictive models using machine learning and statistical methods to improve decisions and automate processes.
- Analyze large datasets, partner with Product, Engineering, and business teams, communicate findings, and establish data science practices while mentoring scientists.
🛠️ Requirements
- 8+ years of progressive data scientist experience, including significant time in a strategic or staff/principal/director-level role.
- Bachelor’s degree required; applied math, computer science, natural sciences, or engineering preferred.
- M.S. or Ph.D. in a related field highly desired.
- 5+ years of experience with statistical modeling and optimization techniques.
- Proficiency in Python; pandas, NumPy, SciPy, and scikit-learn preferred.
- Proficiency in linear algebra and statistics.
- Familiarity with scientific software principles, versioning systems, and reproducibility.
- Manufacturing industry experience 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 that is focused on transformation, aggressive growth, and building sophisticated technology solutions.
Full job description
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry (NASDAQ: XMTR) is the global source for on-demand manufacturing, transforming one of the largest industries in the world. Our AI-driven marketplace connects buyers—ranging from independent engineers and designers to Fortune 100 procurement teams—with a global network of over 10,000 manufacturing partners. We provide instant pricing, lead times, and manufacturability feedback for custom parts, empowering the creators of today to build the products of tomorrow.
Xometry is seeking a visionary and results-oriented Staff Data Science Analyst 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.
How You'll Contribute:
AI Driven Analytics
- Drive AI-Enabled Software Development: Champion the adoption of AI across the SDLC, identifying and scaling innovative ways to accelerate data analytics across Xometry
Analytics & Business Insights
- 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.
Experimentation & Statistical Inference
- Design experiments to measure the impact of product and business changes.
- Apply statistical and causal inference methods to draw reliable conclusions from data.
Predictive Modeling & Machine Learning
- Build and evaluate predictive models that estimate the likelihood of key business outcomes. Apply machine learning and statistical modeling to improve decision-making and automate business processes.
Data, Tools & Technical Leadership
- 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.
- Clearly communicate insights, model results, and recommendations to stakeholders.
Found and Scale Xometry’s India Product Development Center
- 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 across analytics, experimentation, and modeling
What You'll Brind to Xometry:
- 8+ years of progressive data scientist experience, with a significant portion in a strategic or staff/principal/director-level role
- Bachelor’s degree required; degree in applied math, computer science, natural sciences or engineering preferred
- M.S. or Ph.D. in a related field highly desired
- 5+ years of experience with statistical modeling, and optimization techniques
- Proficient in Python (pandas, numpy, SciPy, and scikit-learn preferred)
- Proficient in linear algebra and statistics
- Familiar with scientific software principals, e.g. versioning systems, reproducibility
- Experience in the manufacturing industry is desired
Why Join Xometry?
- 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 that is focused on transformation, aggressive growth, and building sophisticated technology solutions.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
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