Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

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.
Implement robust data science methodologies, emphasizing best practices in code reproducibility, version control, and model deployment.

From the employer’s posting

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.

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.

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.

What you’ll bring

All qualifications

Core experience

5+ years of experience in data science
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.

Qualification wording

5+ years of experience in data science

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.

Education & alternatives

Qualifications: - A bachelor’s degree is required; an advanced degree (M.S. or PhD) in applied math, computer science, data science, engineering, or a related field is highly preferred. - 5+ years of experience in data science

Tools in this posting

Python
SQL
Looker
MongoDB
Snowflake
NumPy
pandas
Scipy
scikit-learn

Source

Responsibilities: - 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.

- 5+ years of experience in data science - 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.

- 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.

Job description

View original posting ↗

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 seeking a Senior Data Scientist to join our Data Science team. This person will drive data science initiatives, provide technical guidance when needed, and leverage data to solve complex business challenges. The ideal candidate has a deep understanding of data science methodologies, strong statistical expertise, and proven experience delivering impactful data solutions in a dynamic environment. This is a 1-year contract with the potential for extension.

Responsibilities:

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.

Qualifications:

A bachelor’s degree is required; an advanced degree (M.S. or PhD) in applied math, computer science, data science, engineering, or a related field is highly preferred.
5+ years of experience in data science
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.

#LI-Remote

#Promoted

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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Source & posting history

View original posting ↗

Source notes

Source excerpts

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Pay: No pay amount identified in the saved description.
Location & working pattern: Buenos Aires, Argentina
- Strong communication and interpersonal skills to collaborate with global teams and articulate complex technical information to non-technical stakeholders. #LI-Remote #Promoted
Work authorization: Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Open source at job-boards.greenhouse.io ↗Read the full description ↓

Status in our records: Active
First seen by us: Aug 25, 2026
Recorded sightings: 82
Last seen by us: Oct 9, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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