Senior Data Scientist - Health AI & Pipelines (Hybrid NYC)

oscar

New York (NY)

Hybrid

USD 164,000 - 215,000

Full time

5 days ago
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Benefits offered by this job

Unlimited vacation
Equity grants
Annual performance bonuses
Medical, dental, and vision benefits

Job summary

Oscar in New York City is seeking a Senior Data Scientist to join the Data Team. You will help to strategize, build, and measure the launch of the business and product, transforming data into production-ready pipelines and models.

You will partner with product, engineering, operations, and business leads to scope problems and bring them to life. This builder-focused role expects you to own projects end-to-end from scoping to deployment, with a hybrid work schedule.

Qualifications

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

Responsibilities

  • Works with team and manager to impact longer term strategies and roadmap
  • Independently proposes and executes shorter term roadmap for team
  • Interacts and collaborates closely with data and business counterparts across functional areas
  • Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses
  • Compliance with all applicable laws and regulations
  • Other duties as assigned

Skills

SQL
Python
R

Tools

SQL
Python
R

Job description

Oscar in New York City is seeking a Senior Data Scientist to join the Data Team. You will help to strategize, build, and measure the launch of the business and product, transforming data into production-ready pipelines and models.

You will partner with product, engineering, operations, and business leads to scope problems and bring them to life. This builder-focused role expects you to own projects end-to-end from scoping to deployment, with a hybrid work schedule.

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