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トレンド企業

トレンド企業

採用

求人Credit Karma

Senior Partner Decision Scientist

Credit Karma

Senior Partner Decision Scientist

Credit Karma

Charlotte, NC

·

On-site

·

Full-time

·

1mo ago

福利厚生

Healthcare

401(k)

Equity

Commuter

Unlimited Pto

Learning

必須スキル

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.

Privacy Policies:

Credit Karma is strongly committed to protecting personal data. Please take a look below to review our privacy policies:

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Credit Karmaについて

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

従業員数

San Francisco

本社所在地

$7.1B

企業価値

レビュー

3.6

10件のレビュー

ワークライフバランス

3.8

報酬

3.5

企業文化

4.0

キャリア

3.2

経営陣

2.8

65%

友人に勧める

良い点

Good work-life balance and flexible hours

Supportive team and collaborative environment

Interesting and creative projects

改善点

Poor management and lack of direction

High workload and stressful peak times

Limited career advancement opportunities

給与レンジ

41件のデータ

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist II

2件のレポート

$191,673

年収総額

基本給

$147,441

ストック

-

ボーナス

-

$191,673

$191,673

面接体験

4件の面接

難易度

3.0

/ 5

期間

14-28週間

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Behavioral Interview

6

Offer

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience