Senior Data Scientist, Lucie

Oscar Health
New York, NY
Hybrid

Who this role is best for

Aimed at experienced data scientists with healthcare/insurance domain knowledge who thrive in collaborative, builder-focused environments.

Best fit for

  • Candidates with 4+ years of data science experience and a background in healthcare or insurance
    — “Experience in the healthcare, finance and/or insurance industries”
  • Individuals who enjoy solving ambiguous problems and delivering production-ready systems
    — “the ideal candidate is energized by working in an ambiguous space and transforming it into well-engineered, validated, and maintainable production systems”
  • Professionals with strong cross-functional collaboration skills and a product mindset
    — “you will work with both legacy data and systems as well as building modern infrastructure and models”

Things to consider

  • Hybrid work arrangement requires 3 in-office days weekly, including a mandatory Thursday
    — “hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day”

How to stand out

  • Highlight end-to-end project ownership and production system delivery in your resume and interviews
    — “you will own projects end-to-end—scoping problems with stakeholders, designing the technical approach, implementing pipelines and models, validating outputs against existing processes, and iterating after launch”
  • Showcase experience with SQL, R, and Python for data manipulation and analysis
    — “3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data”
  • Emphasize cross-functional collaboration with product, engineering, and business teams
    — “you will partner closely with product, engineering, operations, and business leads to scope new problems and opportunities”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • impact longer term strategies and roadmap
  • independently propose and execute shorter term roadmap for team
  • build and maintain data pipelines, statistical/ML models, and advanced analyses
Typical background
4+ years of industry or other quantitative technical fields3+ years of work experience working with SQL, R, and/or Python

Skills & requirements

Required

SQLRPythonData ModelingStatistical ModelingData Processing

Preferred

Advanced Degree In A Quantitative Or Technical FieldExperience In Healthcare, Finance, Or Insurance Industries

Stack & domain

SQLRPythonData PipelinesStatistical ModelingData ProcessingLeadershipCommunicationHealthcareInsurance

About the role

Original posting from Oscar Health

Hi, we're Oscar. We're hiring a Senior Data Scientist, Lucie to join our Data Team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

Oscar's data team is focused on pushing our understanding of the complex landscape of the healthcare and insurance business. Insurance companies sit on a trove of data that is both broad and deep—spanning financial claims, clinical medical records, and rich product interaction data from our members. 

Lucie is Oscar’s new all-in-one storefront that transforms how consumers shop for healthcare. As a Senior Data Scientist on the team, you will help to strategize, build, and measure the launch of the business and product. This is a highly dynamic role - you will work with both legacy data and systems as well as building modern infrastructure and models.

You will partner closely with product, engineering, operations, and business leads to scope new problems and opportunities, and bring them to life. This is a builder-focused role: the ideal candidate is energized by working in an ambiguous space and transforming it into well-engineered, validated, and maintainable production systems. You will own projects end-to-end—scoping problems with stakeholders, designing the technical approach, implementing pipelines and models, validating outputs against existing processes, and iterating after launch.

You will report into the Director, Data Science

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $163,944 - $215,176 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.

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 

Requirements:

4+ years of industry or other quantitative technical fields (which may include academia).

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

Bonus points:

Advanced degree in a quantitative or technical field

Experience in the healthcare, finance and/or insurance industries

This is an authentic Oscar Health job opportunity.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.

Pay Transparency:  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Privacy Policy.

Source: Oscar Health careers

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