Data Scientist II

San Francisco, CA (Remote)

Our mission is to make higher education accessible and affordable for everyone. We empower students with financial support and supercharge their ability to pay down their debt, so they can get on the right financial track, fast.

We build tools that help people feel in control of their financial future, including:

  • Private student loans - low rates, people-first service, and flexible payments.
  • Student loan refinancing - break free from high-interest rates or monthly payments.
  • Scholarships - access to thousands of scholarships to help students pay less.

Earnies are committed to helping students live their best lives, free from the stress of student debt. If you’re as passionate as we are about our mission, read more below, and let’s build something great together! 

The Data Scientist II position will report to the Manager, Data Scientist. 

As the Data Scientist II, you will:

  • Design and implement ETL pipelines to ingest data from operational systems, third-party sources, and public datasets into the data warehouse, transform existing data for user consumption, and source data for model training
  • Extract data for model training from various sources, including data warehouses (e.g., Earnest, Navient), production databases, third-party providers, and publicly available dataset
  • Prototype machine learning models by applying best practices in feature engineering, model selection, and validation, while writing efficient code using popular frameworks such as Scikit-learn, TensorFlow, and PyTorch
  • Articulate to stakeholders the impact of the models and analyses through presentations and reports. Drafts recommendations for stakeholders that would optimize the product and underwriting policies

Your Impact:

  • You will be responsible for guiding product recommendations and model development.You will communicate analyses and results to the Data team backed by data and coupled with actionable conclusions to drive business decisions. This role will be creating new analytical approaches, design efficient data querying and modeling development

About You: 

  • Bachelor’s Degree in Computer Science, Data Science, Statistics or a related field 
  • 3 years of experience developing traditional machine learning models using Python and applying advanced algorithms
  • 2+ years of hands-on experience working with data warehouse systems such as Snowflake, Airflow and DBT to support data-driven model development
  • Willingness to travel to the Oakland office monthly to collaborate with other Earnies

Even Better:

  • PhD in Machine Learning or very related topic, or Master’s degree with equivalent experience with a minimum of 1-2 years of experience

Where:

  • This role will be based in the San Francisco Bay Area.
  • While you’ll enjoy the flexibility of remote work, we also love to see our Earnies face-to-face! We ask you to join us at our Oakland office for 3 consecutive days a month for team collaboration and some fun. It's a chance to connect, share ideas, and maybe even grab some coffee together!

#LI-JP1

A little about our pay philosophy: We take pride in compensating our employees fairly and equitably. We are showcasing a range of your potential base salary. The successful candidate’s starting pay will also be determined based on job-related qualifications, internal compensation, and budget. This range may be modified in the future.

Pay Range

$142,000 - $160,000 USD

Earnest believes in enabling our employees to live their best lives. We offer a variety of perks and competitive benefits, including: 

  • Health, Dental, & Vision benefits plus savings plans
  • Mac computers + work-from-home stipend to set up your home office
  • Monthly internet and phone reimbursement
  • Employee Stock Purchase Plan
  • Restricted Stock Units (RSUs)
  • 401(k) plan to help you save for retirement plus a company match
  • Robust tuition reimbursement program
  • $1,000 travel perk on each Earnie-versary to anywhere in the world 
  • Competitive days of annual PTO
  • Competitive parental leave

What makes an “Earnie” culture: 

  • Drivers – Drivers are satisfied by making things happen, not coming along for the ride. They feel a strong sense of ownership for their projects and teams and demand high standards from themselves and others.
  • Humility – Humble team players check their egos and consider the team’s needs above their own. They are self-aware of their strengths and opportunities for improvement.
  • Growth Mindset – People with a growth mindset approach challenges and failures as learning opportunities. They seek feedback to improve, give feedback to others, and genuinely want to perform well. 

At Earnest, we are committed to building an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity, inclusion, equity, and belonging enables us to move forward with our mission. We are dedicated to adding new perspectives to the team and encourage anyone to apply if your experience is close to what we are looking for.  

Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, veteran status, disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.

Apply for this job

*

indicates a required field

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

What are your pronouns? *
Select...
Select...
Select...

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Earnest’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Select...
Select...
Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Select...

Voluntary Self-Identification of Disability

Form CC-305
Page 1 of 1
OMB Control Number 1250-0005
Expires 04/30/2026

Why are you being asked to complete this form?

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to:

  • Alcohol or other substance use disorder (not currently using drugs illegally)
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
  • Blind or low vision
  • Cancer (past or present)
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or serious difficulty hearing
  • Diabetes
  • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
  • Epilepsy or other seizure disorder
  • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
  • Intellectual or developmental disability
  • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
  • Missing limbs or partially missing limbs
  • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports
  • Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)
  • Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
  • Partial or complete paralysis (any cause)
  • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
  • Short stature (dwarfism)
  • Traumatic brain injury
Select...

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.