Senior Data Scientist

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Oscar

πŸ’΅ $158k-$207k
πŸ“Remote - Worldwide

Job highlights

Summary

Join Oscar, a health insurance company built on a technology platform, as a Senior Data Scientist. You will develop models and analyses to enhance business operations and support Oscar's goals, reporting to the Lead Data Scientist. This role offers a blended work culture with remote options, depending on location. The base pay is $158,400 - $207,900 per year, plus benefits, unlimited vacation, equity grants, and performance bonuses. You'll collaborate with data and business teams, research and develop data pipelines and models, and ensure compliance. The position requires significant experience in data science and analytics.

Requirements

  • Have 4+ years of industry or other quantitative technical fields (which may include academia)
  • Have 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
  • Have 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Responsibilities

  • Work with team and manager to impact longer term strategies and roadmap
  • Set shorter term roadmap for team
  • May manage data scientists and/or analysts
  • Interact and collaborate closely with data and business counterparts across functional areas
  • Research, develop, and maintain data pipelines, statistical/ML models, and/or advanced analyses
  • Comply with all applicable laws and regulations
  • Perform other duties as assigned

Preferred Qualifications

  • Have an advanced degree in a quantitative or technical field
  • Have experience in the healthcare, finance and/or insurance industries

Benefits

  • Employee benefits
  • Participation in Oscar’s unlimited vacation program
  • Company equity grants
  • Annual performance bonuses
  • Medical, dental, and vision benefits
  • 11 paid holidays
  • Paid sick time
  • Paid parental leave
  • 401(k) plan participation
  • Life and disability insurance
  • Paid wellness time and reimbursements

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