Published:Tue, 08 Oct 2024 14:50:54 GMTApply:https://remotive.com/remote-jobs/software-dev/data-scientist-ii-1941614
Data Scientist II – Earnest
Earnest is a mission-driven company that aims to make higher education accessible and affordable for all. Our goal is to empower students with financial support and help them pay down their debt quickly, so they can achieve financial stability.
At Earnest, we develop tools to help people take control of their financial future. These tools include private student loans with low rates, flexible payments, and personalized service; student loan refinancing to break free from high-interest rates or monthly payments; and access to thousands of scholarships through our scholarship program.
Our company culture, known as “Earnie,” is built on three key principles:
1. Drivers – We value individuals who take initiative and are dedicated to making things happen.
2. Humility – We believe in putting the team’s needs above our own and recognizing our strengths and weaknesses.
3. Growth Mindset – We embrace challenges and failures as opportunities for growth and are always seeking ways to improve.
Position Overview:
The Data Scientist II will report to the Manager of Data Science and be responsible for designing and implementing ETL pipelines to extract data from various sources for model training. You will also prototype machine learning models and communicate the impact of these models to stakeholders through presentations and reports. Additionally, you will be responsible for creating new analytical approaches and designing efficient data querying and modeling development.
Key Responsibilities:
– Design and implement ETL pipelines for data ingestion and transformation
– Extract data for model training from various sources
– Prototype machine learning models using best practices
– Articulate the impact of models and analyses to stakeholders
– Draft recommendations for optimizing product and underwriting policies
Your Impact:
As a Data Scientist II, you will play a key role in driving product recommendations and model development. You will communicate your analyses and results to the Data team, backed by data, to help drive business decisions. Your role will also involve creating new strategies and approaches to analyzing data and developing efficient models.
Qualifications:
– Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field
– 3 years of experience developing machine learning models using Python
– 2+ years of experience with data warehouse systems such as Snowflake, BigQuery, or Redshift
– Willingness to travel to the Oakland office once a month for team collaboration
Preferred Qualifications:
– PhD in Machine Learning or related field, or Master’s degree with equivalent experience
– 1-2 years of experience with data-driven model development
Location:
This role will be based in the San Francisco Bay Area. While we offer flexibility for remote work, we ask that employees join us at our Oakland office for 3 consecutive days each month for team collaboration and fun activities.
Compensation:
We are proud to offer competitive pay and benefits to our employees. The starting pay for this role will be determined based on qualifications, internal compensation, and budget. The pay range for this position is $142,000 – $160,000 USD.
Benefits:
We believe in supporting our employees in living their best lives. Some of the benefits we offer include:
– Health, Dental, and Vision benefits
– Mac computers and a work-from-home stipend for setting up a home office
– Monthly internet and phone reimbursement
– Employee Stock Purchase Plan
– Restricted Stock Units (RSUs)
– 401(k) plan with company match
– Tuition reimbursement program
– $1,000 travel perk on each Earnie-versary to anywhere in the world
– Competitive days of PTO
– Annual “my day” for personal development
– Pet insurance
– Competitive parental leave
– Earnest swag, in-person team gatherings, picnics, celebrations, and virtual events
Equal Employment Opportunity:
At Earnest, we are committed to creating an inclusive and diverse workplace where all employees feel valued and heard. We believe that diversity, inclusion, equity, and belonging are essential to our success. We welcome and encourage all qualified individuals to apply for this position, regardless of their race, color, religion, sex, national origin, age, sexual orientation, gender identity, veteran status, disability, or genetics. We will also consider qualified applicants with criminal histories in accordance with the Fair Chance Ordinance. Apply link
