Data Scientist – Data Analytics and Infrastructure

Job Description:

  • Design and maintain data infrastructure and analytics systems
  • Develop efficient, scalable pipelines for large, complex datasets
  • Automate workflows and enable reliable data analytics
  • Enable data accessibility across teams and implement analytics tracking
  • Deliver high-quality insights to directly impact business decisions
  • Collaborate with engineers and stakeholders on analytics requirements

Requirements:

  • BS (or higher, e.g., MS, or PhD) in Computer Science, Data Engineering, or a related technical field
  • Experience building and maintaining data pipelines and infrastructure in production environments
  • Proficient in SQL and data wrangling at scale (e.g., Spark, Airflow, dbt, etc.)
  • Strong grasp of statistics, data modeling, and performance tuning
  • Skilled in Python (Pandas, Numpy, etc.) and data visualization tools (e.g., Tableau, Power BI)
  • Familiarity with cloud data platforms (e.g., AWS, GCP, Azure)
  • Ability to design data schemas and implement analytics tracking strategies
  • Strong problem-solving, communication, and collaboration skills

Benefits:

  • Competitive compensation
  • Employees can work remotely
  • Work on cool projects based on your interests and skills
  • Accountability and NOT micro-management
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