Xometry is seeking a Data Science Technical Lead Manager to join its Data Science team. This role involves driving data science initiatives, providing technical guidance, and using data to solve complex business challenges.
Responsibilities:
- Lead and manage a team of data scientists.
- Use data analysis, visualization, and modeling tools to drive data-driven business strategies.
- Design and execute data science projects.
- Collaborate with cross-functional teams to translate business needs into data science solutions.
- Analyze existing algorithms for accuracy and performance.
- Query and extract data from databases to support analysis and model development.
- Implement robust data science methodologies.
- Continuously iterate and improve solutions within a fast-paced, agile environment.
- Foster a culture of collaboration, teamwork, and continuous learning.
Requirements:
- A bachelor’s degree is required; an advanced degree (M.S. or PhD) is highly preferred.
- 7+ years of experience in data science, with at least 3 years in a leadership role.
- Strong expertise in SQL and Python.
- Proficient in applied statistics.
- Experience with pricing algorithms and technology-driven product development.
- Knowledge of scientific software principles.
- Demonstrated ability to work in a fast-paced, ambiguous environment.
- Must be able to work core hours aligned with US Eastern Time (GMT-5).
- Strong communication and interpersonal skills.
What the Role Offers:
- Opportunity to work remotely.
- Chance to lead and manage a team of data scientists.
- Ability to drive data-driven business strategies using advanced tools.
- A 1-year contract with the potential for extension.
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Xometry
Xometry is a digital marketplace connecting businesses with manufacturing solutions. It empowers innovators with access to a vast network of manufacturers, providing resources to bring ideas to fruition. Simultaneously, Xometry equips manufacturers with the tools to expand their businesses by tapping into a broader customer base. The company serves industries by offering scalable and efficient manufacturing capabilities through its online platform.