Senior Manager, Data Science & Operation Analytics

Xometry
United States
Workplace: HybridFull timeUSD 170,000 - 185,000 annuallyFunction: Data Science & Machine LearningExperience: 7-10 yearsEducation: mastersSkills: ["Leadership","Communication","Analytical rigor","Evidence-based decision making","Intellectual curiosity"]

Lead analytics strategy for an AI-powered manufacturing marketplace, translating complex business questions into statistical frameworks and scalable data assets. Establish experimentation capabilities, measurement methodologies, KPI/semantic layers, and executive-ready dashboards to improve marketplace performance, operational efficiency, customer experience, and profitability. Partner with Product, Operations, Sourcing, Pricing, Engineering, and Finance on A/B tests, causal inference, forecasting, and operational insights while leading and mentoring a team of data scientists.

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FursaFursa
Xometry
Xometry
1 month ago

Senior Manager, Data Science & Operation Analytics

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Lead analytics strategy for an AI-powered manufacturing marketplace, translating complex business questions into statistical frameworks and scalable data assets. Establish experimentation capabilities, measurement methodologies, KPI/semantic layers, and executive-ready dashboards to improve marketplace performance, operational efficiency, customer experience, and profitability. Partner with Product, Operations, Sourcing, Pricing, Engineering, and Finance on A/B tests, causal inference, forecasting, and operational insights while leading and mentoring a team of data scientists.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead strategic analytics across marketplace performance, customer behavior, sourcing operations, pricing, and business trends.
  • •Develop analytical frameworks and AI agents to measure marketplace health and business outcomes.
  • •Translate complex business problems into structured analytical approaches and actionable recommendations.
  • •Establish best practices for statistical analysis, causal inference, and experimental design; partner to design, measure, and interpret A/B tests and operational experiments.
  • •Lead, mentor, and develop a high-performing team of data scientists and analytics professionals while establishing analytics development and code-quality best practices.

Pay and Benefits

Salary: USD 170,000 - 185,000 annually
Perks:401kHealth InsuranceDentalVisionPaid Leave

Key Requirements

  • •7–10 years of experience in data science, analytics, statistics, economics, operations research, or a related quantitative field.
  • •Strong foundation in statistical inference, experimental design, causal analysis, forecasting, and quantitative modeling.
  • •Demonstrated experience designing and analyzing A/B tests, observational studies, and business experiments.
  • •Expertise in SQL and Python (Pandas, NumPy, SciPy, Statsmodels) for data analysis and statistical computing.
  • •Strong BI and visualization skills using Tableau, Looker, or Power BI.
Experience:7-10 yearsMarketplaceTechnologyManufacturingSupply chainE-commerce
Education:Master's
Skills:LeadershipCommunicationAnalytical rigorEvidence-based decision makingIntellectual curiosity
Languages:English
Tech Stack:SQLPythonPandasNumPySciPyStatsmodelsTableauLookerPower BI

Company Brief

Xometry
Operates an on-demand digital manufacturing marketplace connecting buyers with manufacturing partners for CNC machining, 3D printing, sheet metal, injection molding and other custom parts, leveraging instant quoting and supply chain services.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 100M to 250M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Rockville, United States
Founded: 2013
Glassdoor
Glassdoor: 3.8
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