Udemy

Staff Data Scientist

Udemy

full-time

Posted on:

Location Type: Hybrid

Location: Denver • Colorado • 🇺🇸 United States

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Salary

💰 $170,000 - $213,000 per year

Job Level

Lead

Tech Stack

AirflowPandasPySparkPythonScikit-LearnSQL

About the role

  • Architect and develop intelligent, scalable, and maintainable solutions for key analytics services, including user segmentation, forecasting, and dynamic pricing
  • Design, build, and maintain production data systems that power Udemy’s most impactful machine learning products
  • Collaborate cross-functionally with product managers, engineers, and analysts to define requirements and translate ambiguous needs into clear technical designs
  • Lead development and scaling of modular, reusable ML components (data pipelines, workflows, evaluation, monitoring, retraining)
  • Raise standards for code quality, data hygiene, reproducibility, and infrastructure for analytics-centric ML systems
  • Mentor and upskill other team members on advanced machine learning concepts and software engineering best practices
  • Act as subject matter expert on ML service lifecycle and shape long-term roadmap for analytics and ML initiatives

Requirements

  • Proven expertise in architecting, developing, and deploying machine learning solutions (e.g., segmentation, forecasting, pricing)
  • 7+ years of professional experience in data science or applied machine learning
  • Deep fluency in Python and SQL
  • Extensive hands-on experience with ML and data engineering libraries (e.g., scikit-learn, pandas, PySpark, MLflow, Airflow)
  • Track record of designing pragmatic, scalable architectures for ML-powered analytics services
  • Strong understanding of model lifecycle: data ingestion, feature engineering, model development, evaluation, deployment, and monitoring
  • Expertise in MLOps best practices, including reproducibility, testing, CI/CD, monitoring, and responsible model governance
  • Experience mentoring data scientists and establishing shared standards in code and modeling
  • Prior experience designing, running, and interpreting A/B experiments and statistical evaluations
  • Deep understanding of causal inference
  • Exceptional communication skills and strong business judgment
Benefits
  • In addition to a base salary, this role is also eligible for equity.
  • Full access to Udemy courses
  • A monthly UDay to invest in yourself
  • A budget to spend on whatever helps you improve
  • Benefits vary by region; review Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits, Turkiye Benefits & US Benefits pages
  • Benefits start with you and were built to provide you and your family with the protection and care you need

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningdata sciencePythonSQLscikit-learnpandasPySparkMLflowAirflowMLOps
Soft skills
communicationmentoringcollaborationbusiness judgment