This is a fully remote position, open to applicants in United States, +6 more countries.

📋 Description

• Engage in projects that involve credit scoring models, fraud detection, optimizing field visit schedules, and conducting A/B tests for targeted user promotions.

• Collaborate with product managers and business leaders to identify issues and leverage data to enhance outcomes.

• Work closely with product and operations teams.

• Derive insights from customer, merchant, and internal data using statistical modeling, data visualization, and machine learning techniques.

• Create, implement, and assess optimizations for internal operations, user promotions, and the agent network.

• Develop data-driven heuristics and machine-learning models aimed at improving user and business results.

• Manage the analytics process from the initial project scoping and design to communicating insights to stakeholders.

⛳️ Requirements

• A Bachelor's degree in a quantitative discipline such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related field is required.

• Over 5 years of experience in data science, machine learning, or technical analytics roles.

• In-depth knowledge of Python, SQL, and data visualization tools.

• Experience in one or more areas including machine learning, causal inference, statistical modeling, or A/B testing.

• Proficiency in English.

• Capability to produce clear, actionable insights for both technical and business stakeholders.

• Competence to thrive in ambiguous, fast-paced environments and propel progress.

• Background in early-stage product teams or rapidly scaling products.

• Skill in presenting findings to both technical and non-technical audiences.

• Applicants must reside in one of the specified talent hub countries or operating markets.