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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.
Job Responsibility:
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
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
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 have:
Python is nice to have
Any experience with DBT and Looker is desirable
Knowledge of data science concepts and methodologies
What we offer:
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