Xometry logo
Xometry

Where Big Ideas Are Built

Senior Data Scientist

Data ScientistData ScientistContractRemoteSeniorTeam 1,001-5,000Since 2013H1B SponsorCompany SiteLinkedIn

Location

Brazil

Posted

72 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishMongoDBNumpyPandasPythonScikit-LearnSQL

Job Description

Senior Data Scientist

Xometry

• 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.

Job Requirements

  • 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.

Benefits

  • 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.

Related Categories

Related Job Pages

More Data Scientist Jobs

MIND logo

Senior Data Scientist

MIND

Mind what matters

Data Scientist72 days ago
Full TimeRemoteTeam 11-50H1B Sponsor

• We are seeking a talented data scientist who has a passion for solving business problems by providing data insights through data modeling and analysis. • This position works with senior leadership and data/technology teams to understand and solve complex business problems by developing data models and various techniques to analyze the health populations.

Alaska

Senior Data Scientist

SmarterDx

SmarterDx, founded in 2020 in New York, New York, is a health technology company focused on clinical AI solutions that enhance hospital revenue integrity and ca

Data Scientist72 days ago

• Develop and refine modeling approaches in close collaboration with the Machine Learning Research team, iterating on experiments to improve model performance. • Execute rapid experimentation cycles, documenting learnings and identifying promising avenues for further development. • Support deployment efforts by creating standardized model endpoints and interfaces for seamless integration with product workflows. • Contribute to shared modeling infrastructure, building tools and utilities that accelerate experimentation and standardize workflows across teams. • Collaborate with Engineering, Analytics, and Product teams to integrate machine learning models into product workflows, ensuring they drive measurable business KPIs. • Adapt and enhance existing modeling approaches to drive impact in new product areas. • Identify product needs and communicate them effectively across the Data Science and Machine Learning Research Science teams.

United States
$190K - $220K / year
Welocalize logo

Data Science Intern

Welocalize

Reach, Grow, and Engage Global Audiences with Multilingual Content

Data Scientist72 days ago
InternshipRemoteTeam 1,001-5,000H1B Sponsor

• Draft documentation, project plans etc. to support Projects, Technical and/or Sales teams. • Conduct analysis and produce metric reports and dashboards to support business decisions and strategies. • Deliver key activities to deadlines related to the functional internship you are assigned to. • Connect with internal/external customers in support of project execution. • Maintain status updates on project and/or team activities and communicate to all relevant stakeholders.

United States
Job Closed
CyberSN logo

Data Scientist

CyberSN

Your partner in cyber workforce risk management

Data Scientist72 days ago
Part TimeRemoteTeam 11-50H1B No Sponsor

• Analyze large and complex data sets, identifying patterns and correlations that offer meaningful insights. • Develop predictive models and algorithms to support various business functions and initiatives. • Collaborate with cross-functional teams, including product development, marketing, and operations, to ensure alignment of data-driven projects. • Create clear and engaging visualizations to represent data insights for technical and non-technical stakeholders. • Stay abreast of the latest industry trends, technologies, and methodologies in data science. • Clearly communicate findings, insights, and recommendations to stakeholders at all levels of the organization.

Virginia