Senior Data Scientist

Remote role for a Senior Data Scientist focused on data acquisition, data quality, and building validated data science and AI/ML models.

Responsibilities

• Lead data acquisition efforts, ensuring datasets are properly formatted, accurately described, and aligned with GitHub privacy policies
• Mentor others in data cleaning and data analysis best practices
• Identify gaps in existing datasets and drive onboarding of new datasets from production systems or third-party vendors
• Collaborate with relevant teams to resolve data integrity issues and support upstream change for long-term quality
• Use expertise in data modeling, AI/ML tools, programming languages, and query languages to:
  • Create models
  • Conduct experiments
  • Analyze results
  • Evaluate methodology and performance of team model outputs
  • Recommend improvements
• Drive best practices for model validation, implementation, and application
• Partner across the organization to identify and explore opportunities for transformative solutions for stakeholders and customers
• Develop and communicate data-driven strategies aligned to business priorities
• Lead conversations with end customers and/or internal stakeholders to define and solve business problems
• Communicate complex statistics and machine learning topics to diverse audiences (multidisciplinary teams, customers, technical and non-technical)
• Independently write efficient, readable, extensible code across multiple features or solutions
• Contribute to code and model review by providing feedback and implementation improvement suggestions
• Drive operational excellence for model deployment, including performance, scalability, monitoring, maintenance, integration into engineering production systems, and stability
• Produce project plans to define steps needed for completion and deliver measurable improvement in business performance metrics over time

Requirements

• Bachelor’s Degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 5+ years experience in data science (e.g., managing structured and unstructured data, applying statistical techniques)
• OR Master’s Degree in the same fields AND 3+ years experience in data science (e.g., managing structured and unstructured data, applying statistical techniques)
• Technical understanding of data science techniques including regression, classification, time-series analysis, experimental design, and causal inference
• Proficiency in Python or R
• Experience with query languages such as SQL and KQL
• Experience with data manipulation tools such as Spark and Airflow
• Ability to communicate findings to non-technical stakeholders using storytelling and visualization with tools such as Jupyter notebooks or Azure Data Explorer/PowerBI dashboards

Technologies

• Python
• R
• SQL
• KQL
• Spark
• Airflow
• Jupyter notebooks
• Azure Data Explorer
• PowerBI

Benefits

• Annual bonus
• Stock
• Sales incentives based on revenue or utilization (depending on the plan terms and employee role)
• Benefits to support you, wherever you are

GitHub Leadership Principles

• Customer-obsessed
• Ship to learn
• Growth mindset
• Own the outcome
• Better together
• Diverse and inclusive
• Model
• Coach
• Care
• Create clarity
• Generate energy
• Deliver success

Compensation

Base salary range: USD 124,000.00 - USD 329,200.00 per year.