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Senior Data Scientist Brazil (Remote)

Seibold GmbH

Snowflake (AZ)

On-site

USD 90,000 - 150,000

Full time

30+ days ago

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Job summary

An innovative firm is seeking a Data Science Technical Lead Manager to spearhead data initiatives and guide a talented team. This role is pivotal in leveraging data science methodologies to tackle complex business challenges while fostering a collaborative environment. The ideal candidate will possess a rich background in data science, strong statistical expertise, and a passion for leading teams to deliver impactful solutions. This dynamic position offers the opportunity to work on cutting-edge projects, utilizing advanced tools and techniques to drive data-driven strategies in a fast-paced marketplace. Join us in shaping the future through data!

Qualifications

  • 7+ years of experience in data science with leadership experience.
  • Strong expertise in SQL and Python, particularly with data science libraries.

Responsibilities

  • Lead a team of data scientists, providing mentorship and technical direction.
  • Design and execute data science projects to drive business strategies.

Skills

Python
SQL
Data Analysis
Statistical Analysis
Data Visualization
Machine Learning
Team Leadership

Education

Bachelor's Degree
Master's or PhD in Data Science

Tools

Looker
Jupyter Notebooks
Pandas
Snowflake
MongoDB

Job description

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 Data Science Technical Lead Manager (TLM) to join our Data Science team. This leader will drive data science initiatives, provide technical guidance, 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 leading teams to deliver impactful data solutions in a dynamic environment. This is a 1-year contract with the potential for extension.

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.

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.
  • 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.

Here at Xometry we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all.

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.

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