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Flexible Nhl Data Science Jobs (NOW HIRING)

Director, Data Science

San Francisco, CA · On-site

$302K - $415K/yr

This flexible approach gives team members the best of both worlds: plenty of focus time along with ... The Opportunity As Director, Data Science , you will lead the data science strategy and team for a ...

Director of Data Science

New York, NY · On-site

$225K - $250K/yr

At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to ... Flexible PTO Policy * 401k plan * Paid Parental Leave * Physical and mental wellbeing benefits ...

At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to ... Flexible PTO Policy * 401k plan * Paid Parental Leave * Physical and mental wellbeing benefits ...

Manager, Data Science

Denver, CO · On-site

$158K - $185K/yr

Ibotta is looking for a Manager, Data Science to join our fast growing team! This role will build ... This position is located in Denver, CO and includes competitive pay, flexible time off, benefits ...

Own data science requirements and tracking, working to identify strategies and opportunities to ... Grow and recharge with tuition reimbursement, flexible time off for exempt employees or paid time ...

You will report into Director, Data Science on our Merchant Analytics team in our Analytics ... For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.

Showing results 21-40

Flexible Nhl Data Science information

See salary details

$46K

$165K

$243.5K

How much do flexible nhl data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for flexible nhl data science in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Flexible Nhl Data Science vs Nhl Data Analyst?

AspectFlexible Nhl Data ScienceNhl Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/RDegree in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, tech-focused companies, sports analytics firmsSports teams, media companies, analytics departments
Industry UsageUsed across sports analytics, tech companies, and researchPrimarily within sports organizations and media outlets
Common Search/ComparisonOften compared for roles involving advanced analytics and modelingCompared for roles focused on data reporting and visualization

Flexible Nhl Data Science involves developing predictive models, machine learning, and advanced analytics, while Nhl Data Analyst focuses on data reporting, visualization, and basic analysis. Both roles require strong analytical skills but differ in technical complexity and responsibilities within the sports industry.

What cities are hiring for Flexible Nhl Data Science jobs? Cities with the most Flexible Nhl Data Science job openings:
What are the most commonly searched types of Nhl Data Science jobs? The most popular types of Nhl Data Science jobs are:
What states have the most Flexible Nhl Data Science jobs? States with the most job openings for Flexible Nhl Data Science jobs include:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


OneMain Financial rating

7.4

Company rating: 7.4 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

117th of 150 rated financial services


Job description

Manager, Data Science

Location: Wilmington, DE (Hybrid Schedule)

OneMain Financial is seeking a Data Science Manager based out of Wilmington, DE, to join our innovative and fast-moving Data Science team.

Successful candidates will be willing to challenge assumptions and bring fresh ideas, own projects from inception to production, and collaborate with internal partners to improve customer experience and drive OneMain's financial performance.

Example projects include building underwriting models for our core personal loans business; evaluating new data sources, technologies, and model-building techniques; and developing algorithmic solutions to automate income verification.

Key qualities include creativity, clarity in communication, ability to strike a balance between speed to market and quality of delivery, and a willingness to seek out or develop new tools and ideas. Bring your individual strengths, knowledge, and interests to bear on the problems we tackle. Propose new ideas. Pursue some of them.

Responsibilities:

  • Identify high impact opportunities where a model or data-related solution can provide large leverage. Then design, build, validate, implement, monitor, and improve that data science solution.
  • Identify new data sources, new technologies, new techniques, and new insights that will create value for our customers and lines of business.
  • Promote best practices for model development and software design.
  • Communicate and collaborate with cross-functional partners.
  • Work with third-party vendor partners to evaluate data and products and integrate those that that show promise into our data science practices and platforms.
  • Develop testing & control procedures to ensure execution accuracy and effective post-implementation monitoring.
  • Independently complete analyses, draw conclusions, and present results to influence business & strategy decisions.
  • Unlock insights from non-traditional data sources such as information from other industries, tax data, deposit data, demographic data, and digital data.

Requirements:

Technical skills
  • Proven experience with data analysis and coding equivalent to 4+ years of experience working as a data scientist
  • Applied experience with a variety of modeling techniques like regression, boosted decision trees, deep learning, NLP, and so forth
  • Strong software development skills covering design, algorithms, optimization, testing, and source control
  • Hands-on experience with building self-contained solutions with clear interfaces
  • Demonstrable mathematical and algorithmic aptitude
Communication
  • Outstanding communication skills with the comfort to interact with all levels with clarity and at an appropriate level of detail
  • Ability to identify and convey the essential information in every communication
  • Ability to understand the business intent behind every project and tell the story around it
  • Willingness to propose and defend ideas
Collaboration
  • Experience working in cross-functional teams across a large, multi-stakeholder organization
  • Ability to work with a high degree of autonomy: can resolve or escalate issues appropriately; can fill in the gaps when requirements are incomplete
  • Ability to work with teams of diverse individuals focused on several disparate projects simultaneously
Risk management mindset
  • Can foresee risks and potential points of failure in a data science system and appropriately mitigate or manage them
    • Anticipate weaknesses in models, software, and systems
    • Use defensive practices to build robust products (e.g. testing, code review)
    • Minimize surface area for failure (develop around clear interfaces, use well-understood tools, minimize external dependencies)
    • Prepare for the unexpected (fail fast with clear error messages, develop failure contingency plans)
    • Understand the importance of monitoring production systems and setting up clear alert systems
  • Appropriately balance the tradeoffs between the use of cutting-edge enterprise systems vs. simple and familiar tooling

Who We Are

OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.

Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.

Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-timers with:

  • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances

  • Up to 4% matching 401(k)

  • Employee Stock Purchase Plan (10% share discount)

  • Tuition reimbursement

  • Paid time off (15 days' vacation per year)

  • Paid sick leave as determined by state or local ordinance, prorated based on start date

  • Paid holidays (11 days per year, based on start date)

  • Paid volunteer time (3 days per year, prorated based on start date)

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.


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