Remote Otter LogoRemoteOtter

Data Scientist - Remote

Posted Yesterday
Data Analysis
Full Time
Worldwide
up to 149200 USD/year

Overview

We’re making Africa the first cashless continent by building financial services that just work. As a Data Scientist, you will help grow and strengthen our user base through high-impact analytics and machine learning.

In Short

  • Join a multidisciplinary team focused on advanced analytics and machine learning.
  • Work on high-impact use cases with millions of users.
  • Own the full data science cycle from defining approaches to shipping in production.
  • Engage with business metrics and collaborate with Operations teams.
  • Experiment with ideas and iterate based on user feedback.
  • Use machine learning methods to solve business problems.
  • Work remotely from anywhere with reliable Internet access.
  • Receive competitive salary and generous equity package.
  • Enjoy benefits like subsidized health insurance and flexible vacation.
  • Participate in a mission-driven company focused on financial inclusion.

Requirements

  • Bachelor's degree in a quantitative field; Master's or PhD is a plus.
  • 4+ years of experience in applied data science.
  • Experience with data analysis, machine learning, and product A/B tests.
  • Strong Python skills and proficiency in SQL.
  • Solid foundation in probability and statistics.

Benefits

  • Subsidized health insurance for you and your dependents.
  • 6 months of fully paid parental leave.
  • Flexible vacation policy.
  • $10,000 annual charitable donation matching.
Wave logo

Wave

Wave is the largest financial institution in Senegal, boasting over 7 million users. The company is in the early stages of its product roadmap, aiming to significantly impact people's everyday lives. Wave focuses on innovation and growth, particularly within its Engineering and Product teams, by implementing effective people strategies and fostering a collaborative culture. The organization values inclusivity and employee development, offering competitive salaries, generous benefits, and a commitment to maintaining a startup mindset as it scales.

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