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Sr or Principal Data Scientist

Company: Freedom Financial
Location: Tempe
Posted on: November 19, 2020

Job Description:

We are hiring Data Scientists at these levels:


Lead (Staff or Sr. Staff)



Voted one of the Top 100 Fastest Growing Companies in the Bay Area for 2020, Freedom Financial Network is a family of companies that takes a people-first approach to financial services, using technology to empower consumers to overcome debt and create a brighter financial future. The company was founded in 2002 by Brad Stroh and Andrew Housser on the belief that by staying committed to helping people, you can ensure better financial outcomes for both the customer and the business. This Heart/$ philosophy still guides the vision of our growing company, which has helped millions of people find solutions for their financial needs.

What began with 2 people in a spare bedroom has now rapidly expanded to a vibrant business that employs over 2000 employees (known internally as The Freedom Family) in two locations: San Mateo, CA and Tempe, AZ. When you visit either of our offices, you’ll understand why our employees have voted us the Best Place to Work for the last several years. It’s a place where the Heart/$ philosophy continues to thrive, where we believe that success is only achieved by doing what’s right for our customers, our employees, and our communities.

In order to create brighter futures for our clients, employees, and businesses, Freedom Financial Network holds itself to four core values that have grown out of our Heart + $ philosophy: to care for everyone around us, act with integrity every time, collaborate with everybody we work with, and get better at what we do every day.


The Sr. or Principal Data Scientist will be heavily involved in executing data analysis and modeling tasks for Freedom Financial Asset Management, the lending division of the Freedom Financial Network.  The overarching mandate for the Sr. or Principal Data Scientist is to execute on analytic delivery and to develop new analytic capabilities for the company’s mortgage initiative.  The position will essentially be to partner with the mortgage division to execute a new analytic vision.  Additionally, he/she may collaborate with other team members to assess and develop new analytic opportunities.  This role will provide the candidate exposure and visibility into a strategic initiative for the company, and as such, will be a high impact role within the organization.


Some of the key responsibilities for the Analytic Scientist will include:

Drive better understanding of FFN customers and prospects. Optimize customer experience and FFN value proposition by leveraging of GLM, supervised and unsupervised ML modeling solutions.

Utilize your technical and analytical skills, while also gaining in-depth exposure to business strategy.

Act as consultant to cross functional teams, advise how to best leverage predictive modeling and data in general.

Responsibility: Design, build, optimize and maintain customer LTV / lifecycle modeling platforms.

Identify opportunities to apply data science solutions to improve customer experience and FFN value proposition.

Consult with business partners to develop data science strategy to address and influence customer LTV.

Analyze data, build models and assess their quality

Design experiments and evaluate the results

Monitor model performance and make recommendations

Ad-hoc Statistical requests

Communicating results and recommendations to senior management

Identify and apply best practices and innovative solutions for optimization of customer life cycle.

Skillset and Requirements: Expert knowledge of logistic regression, decision trees, survival analysis, design of experiment and other statistical techniques

Expert knowledge of supervised and unsupervised ML modeling techniques

Communicating clearly and concisely to individuals from various backgrounds

Influencing others in both verbal and written mediums

Leverage data and advanced statistical and machine learning techniques to develop comprehensive customer experience strategy

Qualifications and Experience

Masters or PhD in Statistics or similar quantitative field of study (Math, Economics, Financial Engineering, Physics, Chemical Engineering, Industrial Engineering, Operations Research, etc.)

Hands on expertise in statistical modeling and analysis

Experience with use of credit bureau data for statistical modeling

Experience working with relational databases

Expert SAS/R/Python knowledge

Experience with cloud-based modeling (AI) platforms

0 - 7+ years of total experience. Financial services or mortgage experience, is not required, but is preferred.

Demonstrated experience in statistical modeling and analysis.  Expert level skills in Python or R.

Proficiency in qualitative and quantitative data analysis and reporting.

Aptitude working with relational databases and manipulating data from databases for statistical modeling.

Familiarity with UNIX/LINUX environments and BASH/shell scripting is desired.

Very strong analytical skills, combined with an ability to tie analytic results to business implications.

A can do attitude for problem solving.

A keen eye to spot opportunities to automate and streamline analytic processes.

High level of comfort working within the financial services industry, as well as working within a rapidly growing environment in which change is a constant.

An ability to work independently with limited direction but with the judgment to do so within appropriate limits of authority.

Initiative to constructively, but passionately, challenge existing analytic processes.

CULTURAL FIT (Our Core Values):

Care (for everyone): We show compassion and contribute to the well-being and growth of those around us. We only pursue products that improve the financial lives of our clients.

Act with Integrity (every time): We take the right action even when it is hard and even when no one is watching. We treat our employees, clients, and communities the way they wish to be treated.

Get Better (every day): We innovate, iterate, and improve each day. We are creative, take thoughtful risks, and ultimately learn and recover from failures.

COLLABORATE (with everybody): We strive to work together toward a common purpose by proactively sharing information and inviting participation. We recognize the perspective of various groups and embrace healthy, constructive debate.


Fast, continued growth – there’s a lot of opportunity for advancement

Voted a Best Place to Work multiple times by our employees, most recently #1 in Phoenix for the 2nd year in a row!

Benefits start within 30 days

401k with employer match

3 weeks’ paid vacation (increased with tenure)

9 paid holidays & 5 sick days

Paid time off for volunteer work and on your birthday

This is your opportunity to be part of a growing company where dedicated professionals strive to help customers and each other succeed every day. If that sounds exciting to you, we want to talk to you. Apply today!

Attention Agencies & Search Firms: We do not accept unsolicited candidate resumes or profiles. Please do not reach out to anyone within Freedom Financial Network (FFN) to market your services or candidates. All inquiries should be directed to Talent Acquisition only. We reserve the right to hire any candidates sent unsolicited and will not pay any fees without a contract signed by FFN’s Talent Acquisition leader. Thank you for your consideration.

Keywords: Freedom Financial, Tempe , Sr or Principal Data Scientist, Other , Tempe, Arizona

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