Role Overview
Achieve is hiring a entry-level Data Scientist (AHL). This is a full-time role in Tempe. Part of Achieve's Lifecycle hiring, posted today. The posted range is $140k to $160k; applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
This role offers $140k-$160k. The median for Junior-level Lifecycle roles is $89k-$134k (based on 115 listings). 35% above median.
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Job description
As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience), you’ll impact the lives of everyday people and help them go from surviving to thriving with innovative digital personal finance solutions. You will focus on developing and deploying predictive and descriptive models throughout the customer lifecycle, including machine learning models. Additionally, you will conduct strategic analytics and develop BI to monitor program results. You will serve as a strategic thought partner for leaders throughout the company, helping them in identifying and exploiting opportunities where modeling and analytics can add value.
What you’ll do:
- Conduct deep-dive analytics on strategic initiatives
- Access data, run analytics models, solve business problems.
- Understand an influence the pillars of conceptual risk modeling
- Establish and maintain relationships with internal stakeholders.
- Serve as a strategic thought partner for other members of the Data Science team
What you’ll bring:
- 1-2+ years of experience as a professional data scientist. This is a must. (Experience in a regulated industry like banking with hands-on compliance work is a plus).
- Excellent risk modeling and analytic skills.
- Proficient coding skills in SQL and Python/R.
- Experience developing BI dashboards using Tableau is a plus
- Keen eye for opportunities to get value from data.
- Ambitious, resourceful, and possessed of excellent judgment as evidenced by steadily growing professional responsibility.
- Strong organizational skills with an ability to manage multiple projects at any given time.
- Strong verbal and written communication skills. In particular, be able to convert highly technical concepts and results into easily understood business value proposition.
- Demonstrated ability to work independently as a self-starter.
- Education in a "hard" quantitative field (e.g. Math, Stats, Economics, Operations Research, etc.), with evidence of outstanding academic achievement. This is a must.
- Ideal candidates will have an advanced degree (>= MS), although professional experience and achievement are more important.
Preferred:
- Experience in consumer lending domain (secured/unsecured loans, credit cards, etc.) or fintech lending environment.
- Experience with credit risk modeling (development & monitoring) and loss/prepayment forecasting.
- Experience working with credit decisioning engines such as Oscilar, TakTile etc. will be a plus.
- Experience working with capital markets and servicing businesses.
- Knowledge or working experience in loan-level economics, yield curves, margins/profitability, etc.
- Experience working in the GCP environment.
- A Passion for fintech, agile environment, ability to work both independently and in a collaborative, fast-paced team.
All your information will be kept confidential according to EEO guidelines.
Achieve well-being with:
- 401 (k) with employer match
- Medical, dental, and vision with HSA and FSA options
- Competitive vacation and sick time off, as well as dedicated volunteer days
- Access to wellness support through Employee Assistance Program, physical and mental health wellness programs
- Pet care discounts for your furry family members
- Financial support in times of hardship with our Achieve Care Fund
- A safe place to connect and a commitment to diversity and inclusion through our six employee resource groups
We are proudly offering hybrid options in the San Mateo, CA and Phoenix, AZ metro market. In other locations throughout the country, we offer work from home.
Salary Range: $140,000 - $160,000 + bonus + benefits.
This information represents the expected salary range for this role. Should we decide to make an offer for employment, we'll consider your location, experience, and other job-related factors.
Join Achieve, change the future.
At Achieve, we’re changing millions of lives.
From the single parent trying to catch up on bills to the entrepreneur needing a loan for the next phase of growth, you’ll get to be a part of their journey to a better financial future. We’re proud to have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas. We are strategically growing our teams with more remote, work-from-home opportunities every day to better serve our members. A career at Achieve is more than a job—it’s a place where you can make a true impact, have a sense of belonging, establish a fulfilling career, and put your well-being first.
Attention Agencies & Search Firms: We do not accept unsolicited candidate resumes or profiles. Please do not reach out to anyone within Achieve 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 Achieve’s Talent Acquisition leader.
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About Achieve
Achieve
achievegroup.asia
23 other open roles at Achieve on TryApplyNow.
Frequently Asked Questions
How do I apply for the Data Scientist (AHL) position at Achieve?
Use the Apply button above to submit your application directly to Achieve. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Scientist (AHL) position at Achieve located?
This position is based in Tempe. Achieve has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
How much does the Data Scientist (AHL) role at Achieve pay?
Achieve has posted a compensation range of $140k to $160k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.
When was the Data Scientist (AHL) role at Achieve posted?
This role was posted on July 22, 2026 (today). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the Data Scientist (AHL) role at Achieve entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Achieve has listed.
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