FlexHired LogoFlexHired
Logo of Empower

Empower

Staff Data Scientist - Cashalo

Job Summary

The role involves leading the development and deployment of machine learning models for Empower's lending business in the Philippines. Candidates should have experience in data science, machine learning, statistical analysis, and programming in Python and SQL. The position requires collaboration with cross-functional teams including credit, product, engineering, and leadership to improve risk models and analytical tools. Benefits include comprehensive health coverage, remote work support, and opportunities for professional growth.

Required Skills

SQL
Data Pipelines
Problem Solving
Machine Learning
Communication
Python Programming
Data Science
Analytics
Statistical Analysis
Predictive Modeling
Deep Learning
Data Standards
Model Deployment
ML Packages
Risk Modeling

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Equity
Competitive Salary
Growth Opportunities
Work From Home Reimbursement
Company Onsites

Job Description

EMPOWER OVERVIEW

Empower is shaking up an outdated financial system by providing real opportunity for our customers: the opportunity to get the cash they need, to access fair credit, and to change their financial story. Today, we’re helping millions of people find financial security through machine learning models that evaluate creditworthiness using a more inclusive lens and mobile-first products: Cash Advance, Thrive line of credit, and Petal credit cards. Tomorrow? Creating even more financial paths for our customers (and their wallets) to succeed.

This year, Empower ranked #65 on Inc. 5000’s Fastest-Growing Private Companies list — our third year in a row cracking the top 100 — and was named by Forbes as one of the 25 Next Billion-Dollar Startups for 2024. Empower was also featured by Forbes on America’s Best Startup Employers list in 2023, and our Thrive line of credit product was named by Fast Company as one of 2022’s Next Big Things in Tech.

Empower is backed by Sequoia Capital, Blisce, and Icon Ventures. Ready to grow your impact and accelerate your career? Take a look at our open roles — we can’t wait to meet you.

The Opportunity: Staff Data Scientist – Cashalo

We’re looking for a highly analytical and technically skilled Data Scientist to lead the development and deployment of machine learning models for Cashalo, our Philippines based lending business. This is a high-impact role where you'll work across product, engineering, and credit to build end-to-end model pipelines and help shape the future of financial services in the Philippines.

How You'll Make an Impact

  • Develop data standards, analytics pipelines, and new risk models for Empower’s business in the Philippines to uncover novel insights that move our business forward

  • Collaborate closely with the credit team to influence and use models that solve business problems, monitor business outcomes and enhance analytical tools

  • Work with Cashalo's leadership team to refine and execute the business plans and agenda

  • Partner with other credit and data science teams operating internationally and in the US to identify transferable learnings, strategies, and synergies and help implement them

  • Partner with leaders in product, engineering, marketing, and finance to ensure that the team’s work fits within the larger picture

Why You're a Great Fit

  • Bachelor’s degree in Engineering, Computer Science, or Mathematics

  • 4+ years of industry experience in data mining, machine learning, statistical analysis, and/or predictive modelling

  • Deep understanding of statistics and machine learning techniques, including regression, classification, clustering and optimisation; experience building predictive models from scratch

  • Strong programming skills in Python with intermediate to advanced knowledge of SQL

  • Demonstrable experience with ML packages: scikit-learn, LightGBM, XGBoost, SparkML, etc.

  • Experience using LLM tools like Github Copilot, Cursor, or Windsurf to responsibly accelerate workflow. Understanding of the key tradeoffs between major model providers like Anthropic, OpenAI, and Google

  • Knowledge in deep learning and experience with DL toolkits (Tensorflow, Keras, PyTorch) is preferred though not required

  • Comfort working with a variety of cross functional partners in tech, product, credit, and business

  • Exceptionally strong problem solving and communication with the ability to both get in the weeds and communicate to an executive audience

  • Ideal candidate location is in APAC in the Philippines time zone.

Our Interview Process

  1. Initial Recruiter Call: A conversation to learn about your experience and what you're looking for in your next role.

  2. Hiring Manager Interview: A deeper discussion about your background and approach to solving challenges.

  3. Skills Panel: Meet with Empower and Cashalo team members to discuss your expertise and problem-solving approach through real-world scenarios.

  4. Leadership Conversation: A final conversation with our CEO to discuss our mission and how you could contribute to it (and how we can help you achieve your career goals along the way).

Don't meet every qualification? If you're excited about this challenge and driven to innovate, we still want to hear from you!

What You'll Get at Empower

  • Meaningful Ownership: Competitive salary and generous equity in a profitable, fast growing company.

  • Complete Support: 100% coverage for medical, dental, vision, and life insurance, plus a generous WFH reimbursement.

  • High-Impact Teams: The chance to thrive in a small, focused team where your contributions directly shape outcomes for our business and customers.

  • Remote First: A virtual first environment built on trust and outcomes.

  • Team Connection: Twice-yearly company onsites where we come together to connect, learn, and build for the future (our last few have been in San Diego, Vail, and Flagstaff)!

  • Growth Path: Ongoing opportunities for development in a dynamic, supportive, and creative environment.

The Empower Way

The Empower Way is one where bold ambition meets an owner mindset, where open dialogue and spirited debate are encouraged, and where everyone works together to put our customers first. We believe diverse voices lead to the best ideas, and we foster an environment where every individual is valued, heard, and supported as part of one unified team working to change lives and build a more inclusive future.

If that sounds like you, join us and be part of a team that's helping millions of people reshape their financial futures.

Interested in this job?

Application deadline: Open until filled

Logo of Empower

Empower

Instant delivery to your bank account and easy, automated repayment. No interest, no late fees, no credit checks. Cover unexpected bills or every day essentials with Empower Cash Advance.

See more jobs
Date PostedJuly 18th, 2025
Job TypeFull Time
LocationRemote - APAC
SalaryCompetitive rates
Exciting remote opportunity (requires residency in China, India, Japan, Singapore, South Korea, Taiwan, Australia, New Zealand) for a Staff Data Scientist - Cashalo at Empower. Offering competitive salary (full time). Explore more remote jobs on FlexHired!

Safe Remote Job Search Tips

Verify Employer Thoroughly

Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.

Never Pay to Get a Job

Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.

Safeguard Your Personal Information

Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.

Scrutinize Communication & Interviews

Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.

Beware of Unrealistic Offers

If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.

Insist on a Formal Contract

Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.

Related Jobs

Full Time
Remote - APAC
Full Time
Remote - APAC

Subscribe Newsletter

Never miss a remote job opportunity. Subscribe to our newsletter today and receive exclusive job alerts, career advice, and industry insights delivered straight to your inbox.