Data Scientist

🕒 October 13

🌐 United States, United Kingdom, +6 more countries – Remote

🇺🇸 United States – Remote 🇬🇧 United Kingdom – Remote 🇪🇸 Spain – Remote 🇰🇪 Kenya – Remote 🇬🇭 Ghana – Remote 🇸🇳 Senegal – Remote 🇨🇮 Côte d’Ivoire – Remote 🇧🇫 Burkina Faso – Remote

💵 $130.6k - $236.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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Wave Mobile Money

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2017

💼 Consulting

📦 Logistics

💳 Fintech

Consulting • Logistics • Fintech

Wave Mobile Money is a company that offers a revolutionary mobile money service. Their platform allows users to deposit, withdraw, and send money with minimal fees—only 1% for sending money. Customers can pay bills and buy airtime instantly for free. Wave ensures the protection of users' finances with best-in-class security and provides customer support through a toll-free number. The service is praised for its simplicity, efficiency, and convenience, making it a popular choice for transferring money and managing mobile financial transactions.

📋 Description

• Work on projects including credit scoring models, fraud detection, field visit schedule optimization, and A/B tests for targeted user promotions • Partner with product managers and business leaders to understand problems and apply data to improve outcomes • Embed closely with product and operations teams • Generate insights from customer, merchant, and internal data using statistical modelling, data visualization, and machine learning • Design, implement, and analyze optimizations for internal operations, user promotions, and the agent network • Build data-driven heuristics and machine-learning models to improve user and business outcomes • Own the analytics process from project scoping and design through communicating findings to stakeholders

🎯 Requirements

• Minimum Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline • 5+ years of experience in data science, machine learning or technical analytics roles • Deep expertise with Python, SQL, and data visualization tools • Experience in one or more of: machine learning, causal inference, statistical modeling, or A/B testing • Fluency in English • Ability to generate clear, actionable insights for technical and business stakeholders • Ability to work in ambiguous, fast-moving environments and drive progress • Experience working in early-stage product teams or rapidly scaling products • Ability to present findings to technical and non-technical audiences • Candidates must be based in one of the listed talent hub countries or operating markets

🏖️ Benefits

• Yearly $1,200 stipend to support coworking meetups with teammates • Subsidized health insurance for you and your dependents • Retirement contributions • 6 months of fully paid parental leave • Subsidized fertility assistance • Flexible vacation, with most folks taking between 30-40 days per year • $10,000 annual charitable donation matching • Generous equity package

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