
On-demand manufacturing powered by AI technology
Xometry is a leading AI-enabled marketplace for on-demand manufacturing, headquartered in Rockville, Maryland. The company connects over 30,000 customers, including Fortune 100 firms like BMW and NASA, with a network of more than 4,000 suppliers. Xometry has raised over $200 million in funding and w...
Employees enjoy competitive salaries, stock options, flexible remote work policies, generous PTO, and a comprehensive health benefits package....
Xometry fosters a technology-driven culture that emphasizes innovation and efficiency in manufacturing, encouraging employees to leverage AI and data ...

Xometry • North Bethesda, MD
Xometry is seeking a Senior Data Scientist to join their cost prediction team. You'll leverage machine learning tools to develop predictive models and utilize data analysis techniques to inform business strategy. This role requires expertise in Python, SQL, and cloud resources like AWS.
You have a strong background in data science and machine learning, with a focus on developing predictive models that can drive business outcomes. Your experience includes using 3D data and applying statistical methods to make informed decisions based on data analysis. You are proficient in programming languages such as Python and have a solid understanding of SQL for querying databases. Your familiarity with cloud platforms, particularly AWS, allows you to efficiently prepare and process data for analysis.
You thrive in collaborative environments and enjoy working with cross-functional teams to solve complex problems. Your analytical mindset enables you to iterate on solutions quickly, adapting to the fast-paced nature of the industry. You are comfortable with ambiguity and can navigate uncharted territories in data science, always seeking to improve processes and outcomes.
Experience with data visualization tools like Looker is a plus, as it helps you communicate insights effectively to stakeholders. Familiarity with databases such as MongoDB and Snowflake enhances your ability to manage and extract data efficiently. A degree in applied mathematics, computer science, or a related field is essential, as it provides the foundation for your analytical skills.
As a Senior Data Scientist at Xometry, you will be responsible for developing and optimizing predictive models that assess the likelihood of various business outcomes. You will utilize machine learning techniques to analyze 3D data, ensuring that your models are both effective and reliable. Your role will involve writing software to prepare, clean, and sample data, making it ready for model development.
You will leverage cloud resources, particularly Amazon Web Services, to facilitate data processing and analysis. Your expertise in SQL will be crucial as you query and extract data from databases, ensuring that you have the necessary information to inform your models. You will also use data analysis and visualization tools to present your findings and support business strategy decisions.
In this role, you will work closely with other team members, fostering a culture of teamwork and continuous learning. You will be expected to iterate on your solutions, adapting to new challenges and refining your models based on feedback and results. Your ability to solve complex problems will be key to your success, as you navigate the uncertainties inherent in data science.
At Xometry, you will be part of a dynamic team that is dedicated to transforming the manufacturing industry through innovative technology. We offer a collaborative work environment where your contributions will directly impact our business and the industries we serve. You will have access to continuous learning opportunities, allowing you to grow your skills and advance your career.
We encourage you to apply even if your experience doesn't match every requirement. Our commitment to diversity and inclusion means that we value different perspectives and backgrounds, and we believe that this diversity drives innovation and success. Join us in our mission to connect people with big ideas to the manufacturers who can bring them to life.
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