Data Scientist II
Company: Tbwa Chiat/Day Inc
Location: San Francisco
Posted on: March 27, 2025
|
|
|
Job Description:
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 datasets.
- 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. Draft 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!
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
First Name *
Last Name *
Email *
Phone *
Resume/CV *
LinkedIn Profile
What are your pronouns? *
This role is not eligible for relocation. Are you located within 50 miles of Oakland? * Select...
Current Working Location? (City, State, Country) *
How did you hear about this job? *
Have you ever worked at Navient or an associated subsidiary? * Select...
This role is not eligible for sponsorship. Will you now or in the future require sponsorship to legally work in the U.S.? * Select...
If yes, please add any additional information you feel necessary.
We would love to see your work! Please include a link to your Website / Github / Portfolio here.
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.
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.
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.
#J-18808-Ljbffr
Keywords: Tbwa Chiat/Day Inc, San Francisco , Data Scientist II, Other , San Francisco, California
|
Click
here to apply!
|
