Senior Data Scientist - Remote (AI/ML & Data Strategy)

GitHub, Inc.

Northern (KY)

Hybrid

USD 124,000 - 329,000

Full time

7 days ago
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Job summary

GitHub is seeking experienced professionals to elevate our data and analytics efforts. As a Senior Data Scientist in Data Science, you will leverage your deep expertise in data science, AI/ML, analytics engineering, and business to lead data acquisition efforts and influence decision making across stakeholders.

The ideal candidate will contribute to the latest advancements in AI and data science while mentoring teams, developing scalable models, and delivering insights that improve business

Qualifications

  • Bachelor’s degree in data science, math, physics, statistics, econ, OR operations research, CS or related field with 5+ years in data science.
  • Master’s degree with 3+ years in data science.
  • Doctorate with 1+ year in data science or equivalent experience.

Responsibilities

  • Lead data acquisition efforts and ensure data is properly formatted and described while adhering to privacy policies.
  • Mentor others in data cleaning and analysis; onboard new data sets from production systems or third-party vendors.
  • Resolve data integrity problems with relevant teams to promote long-term quality.
  • Leverage data modeling, AI/ML tools, and query languages to build models and conduct experiments.

Skills

Data science experience
Python
SQL
Communication of results

Education

Bachelor's degree in related field
Master's degree in related field
Doctorate in related field
Equivalent experience

Tools

Python
R
SQL
Spark
Airflow
Jupyter

Job description

GitHub is seeking experienced professionals to elevate our data and analytics efforts. As a Senior Data Scientist in Data Science, you will leverage your deep expertise in data science, AI/ML, analytics engineering, and business to lead data acquisition efforts and influence decision making across stakeholders.

The ideal candidate will contribute to the latest advancements in AI and data science while mentoring teams, developing scalable models, and delivering insights that improve business

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