TL;DR

Applied Machine Learning Engineer (Fintech): Building and optimizing high-impact use cases for user growth with an accent on advanced analytics, machine learning, and experimentation. Focus on defining approaches, implementing solutions, shipping to production, and iterating quickly based on real user feedback.

Location: Remote from anywhere (between UTC -5 and +2)

Salary: $149,200 USD

Company

%hirify_global% is building financial services to make Africa the first cashless continent, having grown to millions of users across 9 countries since 2017.

What you will do

Work in a multidisciplinary team with engineers, data analysts, economists, and a product manager.
Own end-to-end advanced analytics and machine learning problems independently.
Prioritize work to maximize positive impact on users and business.
Collaborate with Operations teams to understand real-world outcomes.

Requirements

Minimum Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or Engineering.
4+ years experience in applied data science or similar.
Demonstrated experience with data analysis, machine learning, and product A/B tests.
Very strong Python skills with expertise in data manipulation, analysis, and machine learning, comfortable writing code that runs in production.
Competent in SQL.
Solid foundation in probability and statistics.

Nice to have

Experience in using advanced analytics for optimizing targeting, rewards, or incentive programs.

Culture & Benefits

Work autonomously on projects from problem understanding to monitoring in production.
Competitive salaries with a transparent formula and generous equity package.
Subsidized health insurance for you and your dependents and retirement contributions.
6 months of fully paid parental leave and subsidized fertility assistance.
Flexible vacation, with most folks taking between 21-30 days exclusive of statutory holidays.
$10,000 annual charitable donation matching.

Hiring process

Fill out the form and upload a resume in English and a cover letter.
Applications are reviewed frequently.