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Senior Partner Decision Scientist

Credit Karma

Senior Partner Decision Scientist

Credit Karma

Charlotte, NC

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

401(k)

Equity

Commuter Benefits

Wellness perks

Paid Time Off

Learning Budget

Healthcare

401k

Equity

Commuter

Learning

Required Skills

Statistical analysis

Data modeling

Credit risk modeling

Data analysis

Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members globally. While we're best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans (car, home and personal) and savings accounts and checking accounts – all for free. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.

Banking services provided by MVB Bank, Inc., Member FDIC

Credit Karma’s fast growing Partner Decision Science team is seeking an experienced Data Scientist or Data Analyst with Credit Risk Modeling support background. This role will allow a motivated individual to be an early member of a growing team who will work closely with our bank and Fintech partners to build and optimize targeting models on the Credit Karma platform. By doing this they will drive significant revenue for Credit Karma and its partners, while providing approval certainty for consumers. This is one of the most significant strategic initiatives at Credit Karma that will change the trajectory of the company and its industry.

What you'll do:

  • Be the critical bridge between banking / fintech partners and the Credit Karma data science platform. Help some of the biggest financial institutions in the country work with the CK modeling platform and meet all data requirements for banking / fintech partners

  • Work hand-in-hand both with the internal data science teams, as well as partner risk science teams to integrate and build decision science models on the CK platform

  • Build strong relations with data science teams at financial institutions, ranging from VP-level executives all the way to hands-on data scientists

  • Thoroughly understand the capabilities of the Credit Karma machine learning platform, and help drive requirements and directly enhance Karma s capabilities

  • Optimize and guide the partner model building and analytics process, in order to achieve optimal results. Coach partner risk teams on machine learning capabilities provided by the CK platform, providing advocacy for partners within Credit Karma and vice versa

Minimum Basic Requirements:

  • Degree (Bachelors or Masters) in Statistics, Math, Data Analytics or a relevant quantitative discipline

  • Approximately 5 years of experience in statistical analysis, modeling, or data analysis, preferably related to one or more of: credit and underwriting, customer segmentation and marketing analytics, or customer valuations

  • Minimum of 3 plus years of experience building, implementing, or utilizing complex models in a financial risk / data science environment

  • Experience with consumer credit data

Preferred Qualifications:

  • Strong knowledge of Python, SQL, or similar industry standard tools used for large-scale data analysis and modeling.

  • Experience and/or interest in machine learning techniques

  • Experience interfacing with teams at Financial institutions

Benefits include:

  • Medical and Dental Coverage

  • Retirement Plan

  • Commuter Benefits

  • Wellness perks

  • Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More)

  • Education Perks

  • Paid Gift Week in December

Equal Employment Opportunity:

Credit Karma is proud to be an Equal Employment Opportunity Employer. We welcome all candidates without regard to race, color, religion, age, marital status, sex (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity or gender expression, national origin, veteran or military status, disability (physical or mental), genetic information or other protected characteristic. We prohibit discrimination of any kind and operate in compliance with applicable fair chance laws.

Credit Karma is also committed to a diverse and inclusive work environment because it is the right thing to do. We believe that such an environment advances long-term professional growth, creates a robust business, and supports our mission of championing financial progress for everyone. We offer generous benefits and perks with a single eye to nourishing an inclusive environment that recognizes the contributions of all and fosters diversity by supporting our internal Employee Resource Groups. We’ve worked hard to build an intensely collaborative and creative environment, a diverse and inclusive employee culture, and the opportunity for professional growth. As part of the Credit Karma team, your voice will be heard, your contributions will matter, and your unique background and experiences will be celebrated.

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About Credit Karma

Credit Karma

Credit Karma

Acquired

Credit Karma is an American multinational personal finance company founded in 2007. It has been a brand of Intuit since December 2020.

501-1,000

Employees

San Francisco

Headquarters

Reviews

3.5

10 reviews

Work Life Balance

4.0

Compensation

3.5

Culture

3.2

Career

2.5

Management

3.0

65%

Recommend to a Friend

Pros

Great team culture and helpful people

Excellent benefits and work-life balance

Free snacks and office amenities

Cons

Culture changed after founder left

Limited opportunities for contractors

Work not challenging or groundbreaking

Salary Ranges

42 data points

Junior/L3

L2

L3

L4

L5

L6

Mid/L4

Senior/L5

Director

Junior/L3 · Business Intelligence Engineer III

3 reports

$215,827

total / year

Base

$166,021

Stock

-

Bonus

-

$185,860

$215,827

Interview Experience

4 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Behavioral Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience