Senior Data Scientist

🔥 0 minutes ago

🇦🇷 Argentina – Remote

⏳ Contract/Temporary

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Xometry

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🚘 Automotive

🏥 Healthcare

📦 Logistics

💰 $75M Series E on 2020-09

Automotive • Healthcare • Logistics

Xometry is a leading digital manufacturing marketplace, offering a comprehensive range of on-demand manufacturing and production solutions. Specializing in 3D printing, CNC machining, injection molding, and sheet metal fabrication, Xometry serves industries such as aerospace, automotive, medical, and electronics. The company provides instant quoting, DFM feedback, and quality assurance through its massive global supplier network, enabling clients to efficiently manage prototyping, high-volume production, and custom part manufacturing. Xometry emphasizes environmental sustainability with initiatives like carbon emission offsetting, and offers features such as the Xometry Instant Quoting Engine and Teamspace for streamlined project collaboration.

📋 Description

• Use data analysis, visualization, and modeling tools (e.g., Looker, Jupyter Notebooks, Python, Pandas) to drive data-driven business strategies, focusing on cost prediction for a two-sided marketplace • Design and execute data science projects, including hypothesis development, statistical analysis, and experimentation such as A/B testing • Collaborate with cross-functional teams to translate business needs into data science solutions aligned with Xometry’s objectives • Analyze algorithms for accuracy and performance, recommend optimizations, and update production code as necessary • Query and extract data from databases such as Snowflake and MongoDB for analysis and model development • Implement data science methodologies emphasizing code reproducibility, version control, and model deployment • Iterate and improve solutions in a fast-paced, agile environment • Foster collaboration, knowledge sharing, and continuous learning within the team

🎯 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 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 • 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

• 1-year contract with the potential for extension