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JobsSoFi

Senior Manager, Data Science - Borrow

SoFi

Senior Manager, Data Science - Borrow

SoFi

CA - San Francisco; NY - New York City

·

On-site

·

Full-time

·

1w ago

Required Skills

Data Science

SQL

Python

Management

Machine Learning

Employee Applicant Privacy Notice

Who we are:

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The role

The Borrow Data Science team is seeking a Senior Manager who will help support growth in our Lending businesses by improving So Fi’s ability to execute with data. This is an exciting role for someone to leverage their Analytical, Engineering, and Management skills to lead a team of Data Scientists with high visibility and impact.

You will serve as a data leader, balancing urgent requests and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach. You will create a culture of strong technical ownership, deliver impact with prioritization, support the growth of individual contributors, and hold the team accountable with high standards.

You are expected to work cross-functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them.

What you’ll do:

  • Manage a team of Data Scientists supporting So Fi’s Personal Loans, Student Loans, and Home Loans businesses

  • Collaborate with senior leaders and other stakeholders to identify and prioritize Data Science initiatives

  • Set high standards for quality and on-time delivery.

  • Recruit, grow, and retain top talent

  • Ensure that the team is operating in an agile and efficient manner

  • Stay up-to-date on the latest AI/ML technologies

  • Identify high impact business opportunities to help members achieve their financial goals

  • Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation.

  • Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders

  • Collaborate with cross-functional teams and business leaders to understand needs and offer data-driven solutions

What you’ll need:

  • Bachelor’s Degree in a technical field

  • 7+ years of Data Science or Software Engineering experience

  • 3+ years management experience

  • Experience leveraging data-driven analysis to influence key decisions, preferably in a Tech or Finance company

  • Experience with using Airflow and DBT to build Data Pipelines in Snowflake

  • Strong programming skills in SQL and Python

  • Experience with building data visualizations with Tableau, Looker or other BI tools

  • Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics.

  • Ability to work in a dynamic, cross-functional environment, with a strong attention to detail;

  • Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;

  • Strong relationship building and collaborative skills;

  • Exceptional problem-solving

Compensation and Benefits

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.

To view all of our comprehensive and competitive benefits, visit our Benefits at So Fi page!
So Fi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
So Fi is committed to an inclusive culture. As part of this commitment, So Fi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

Internal Employees

If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

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About SoFi

SoFi

SoFi

Public

SoFi Technologies, Inc. is an American financial technology company. Founded in 2011 by Stanford University students, it operates as a nationally chartered online bank and is a technology provider to other financial institutions. SoFi is the largest U.S.

1,001-5,000

Employees

San Francisco

Headquarters

Reviews

3.3

25 reviews

Work Life Balance

3.2

Compensation

4.1

Culture

3.4

Career

3.6

Management

3.3

65%

Recommend to a Friend

Pros

Great benefits and compensation

Understanding and caring management

Remote work flexibility

Cons

Long hours and high workload stress

Poor communication between departments

Bureaucratic processes and red tape

Salary Ranges

6 data points

Junior/L3

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Baseline Data Scientist

0 reports

$206,850

total / year

Base

-

Stock

-

Bonus

-

$175,823

$237,878

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 33%

Neutral 50%

Negative 17%

Interview Process

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Interview

5

Behavioral Interview

6

Onsite/Virtual Interviews

7

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Culture Fit