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Senior Data Scientist

  • Hybrid
  • 6+ years

Salary

$160,000 - 220,000/ year

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Description

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.

Responsibilities

  • 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.
  • 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 the company 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.

Where you’d work

Part of the week in the office

You can work from

  • United States

About the company

Company hidden

Office in New York, United States

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 17 checks run
  • 7 good signs
  • 0 red flags

Still hiring?

11 checks

Actively hiring

In its favour4

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
1 moreFewer
  • States its salarySlight evidence

How crowded?

6 checks

Low

In its favour3

  • In its Early Window: not on the big job boards yetStrong evidence
  • Hybrid in New York: only people nearby can take itSlight evidence
  • Senior level: far fewer people qualifySlight evidence

Fits Me

How well does this role fit you?

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  • Must-haves
Details13 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
Seniority
Senior
Type
Full-time
Equity
Equity offered
Specialty
Data Science
Region
United States
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Seniority
Senior
Experience
4+ years
Tech stack
  • Python
  • SQL

Location

Work model
Hybrid
Region
United States
Office
  • New York, United States
Remote from
  • United States

Compensation

Salary
$160,000 - 220,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

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