Data Science Manager, Tech Lead

Summary

Join Xometry's Data Science team as a Data Science Technical Lead Manager! This 1-year contract position (with potential extension) requires leading a team of data scientists, providing technical guidance, and leveraging data to solve complex business challenges. You will drive data science initiatives, focusing on cost prediction for a two-sided marketplace. The ideal candidate possesses strong statistical expertise and experience leading teams to deliver impactful data solutions. This role demands proficiency in data analysis, modeling, and collaboration with cross-functional teams. The position is remote.

Requirements

• A bachelor’s degree is required
• 7+ years of experience in data science, with at least 3 years in a leadership role (managing data science projects or teams)
• Strong expertise in SQL and Python (numpy, scipy, pandas, and scikit-learn preferred) and experience with API integrations using Python
• Proficient in applied statistics, including knowledge of probability distributions, confidence intervals, statistical tests (e.g., t-tests, ANOVA, Chi-Square), and power analysis
• Experience with pricing algorithms and technology-driven product development
• Knowledge of scientific software principles, including version control, code reproducibility, and deployment practices
• Demonstrated ability to work in a fast-paced, ambiguous environment and manage shifting priorities effectively
• Must be able to work core hours aligned with US Eastern Time (GMT-5)
• Strong communication and interpersonal skills to collaborate with global teams and articulate complex technical information to non-technical stakeholders

Responsibilities

• Lead and manage a team of data scientists, providing technical direction, mentorship, and guidance to support their professional growth and ensure high-quality output
• Use data analysis, visualization, and modeling tools (e.g., Looker, Jupyter Notebooks, Python, Pandas) to drive data-driven business strategies, with a focus on cost prediction for a two-sided marketplace
• Design and execute data science projects, including hypothesis development, statistical analysis, and experimentation (e.g., A/B testing) to answer key business questions and validate assumptions
• Collaborate with cross-functional teams to translate business needs into data science solutions and ensure alignment with Xometry’s objectives
• Analyze existing algorithms for accuracy and performance, provide recommendations for optimization, and update production code as necessary
• Query and extract data from databases (e.g., Snowflake, MongoDB) to support analysis and model development
• Implement robust data science methodologies, emphasizing best practices in code reproducibility, version control, and model deployment
• Continuously iterate and improve solutions within a fast-paced, agile environment, addressing challenges with innovative, data-driven approaches
• Foster a culture of collaboration, teamwork, and continuous learning, encouraging knowledge sharing and skill development within the team

Preferred Qualifications

An advanced degree (M.S. or PhD) in applied math, computer science, data science, engineering, or a related field

Benefits

#LI-Remote