Data Science Manager, Product Analytics

Xometry • North Bethesda, MD

1d • $151,000 - $192,000 • Hybrid

About The Position

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 is looking for a highly analytical and data-driven manager for Data Science (Product Analytics) team. This role requires strong statistical skills and a passion for data to drive improvements in technology, while mentoring and guiding a small team of analysts/scientists. This role will be pivotal in leveraging data to optimize product performance, drive strategic decisions, and continuously improve our user experience through rigorous testing. You will lead deep dives into product data, oversee the design and analysis of experiments, and translate insights into actionable recommendations for the product roadmap.

Requirements

• Bachelors Degree in Computer Science, Computer Engineering, Data Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline
• 6-8 years of relevant experience, with at least 1 year in a mentorship, team lead, or supervisory capacity.
• Strong proficiency in data analysis, statistical modeling, and data visualization.
• Proven experience in designing, implementing, and analyzing A/B tests and other experiments.
• Solid understanding of statistical significance and hypothesis testing.
• SQL is a must.
• Knowledge of data science concepts and methodologies.
• Excellent communication and presentation skills, with the ability to explain complex data insights.
• Strong analytical and problem-solving skills.
• Experience working in a product-driven environment.
• Attention to detail and a commitment to data accuracy.

Nice To Haves

• Python is nice to have.
• Any experience with DBT and Looker is desirable.

Responsibilities

• Team Leadership & Mentorship: Guide and mentor junior product analysts, fostering their professional development and ensuring the quality of their output.
• Advanced Analytics Oversight: Oversee comprehensive analysis of product usage, user behavior, and performance metrics conducted by the team to identify opportunities for improvement.
• Experimentation Strategy & Management: Define the strategy for and manage the team's execution of A/B tests, causal analysis, and other experiments. Review and approve clear hypotheses, target segments, and success metrics defined by the team.
• Experimentation Analysis Review: Review and validate experiment results analyzed by the team using statistical methods, providing detailed reports and recommendations. Ensure statistically significant findings are translated into actionable insights.
• KPI Definition & Tracking: Lead the definition of key performance indicators (KPIs) and establish robust tracking and reporting mechanisms across the product analytics function.
• Dashboarding & Visualization: Oversee the development and maintenance of dashboards to visualize experiment results, key metrics, and trends, ensuring data is accessible and understandable to stakeholders.
• Cross-Functional Collaboration: Work closely with product managers, engineers, designers, and machine learning scientists, acting as the primary data point-of-contact to align on goals and integrate experiment findings into product improvements.
• Data Storytelling & Communication: Communicate complex data insights and experiment results clearly and compellingly to diverse audiences, including leadership, and represent the team's findings.
• Data Integrity: Champion data accuracy and integrity for all team analysis and experimentation.
• Methodology Development: Actively contribute to and lead the improvement of our experimentation methodologies and best practices.

Benefits

• We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager