We are seeking a data-driven and strategic Decision Scientist to join our team. In this role, you will partner with product managers, business stakeholders, designers, and engineers to generate insights that drive product/business decisions.

Youll play a key role in helping the company understand user behavior, measure feature performance, and optimize the product roadmap.

Responsibilities :

- Collaborate with product managers, business stakeholders, and engineering teams to understand requirements and translate them into analytical problems.

- Analyze user behavior across the product lifecycle (acquisition, KYC, activation, engagement, retention) to drive improvements and reduce friction.

- Design and analyze A/B tests and other experiments to inform product decisions.

- Build dashboards and reports to visualize product performance and communicate findings to stakeholders.

- Translate business and product questions into structured analysis and clear recommendations.

- Collaborate with data engineering and platform teams to ensure data accuracy and availability.

- Maintain high standards of data integrity and support audit or compliance requests as needed.

- Present findings and recommendations to senior leadership in a clear, business-oriented manner.

Roles and responsibilities :

- 3 - 5 years in product/business analytics or data science, ideally in fintech, banking, lending, or payments.

- Strong analytical and problem-solving skills, with the ability to distill complex data into clear insights

- Strong proficiency in SQL; experience with Python, R, or other scripting languages is a+.

- Proven track record of designing, executing, and interpreting A/B tests and other forms of experimentation.

- Strong experience with data visualization tools (e.g., Looker, Tableau, Power BI).

- Excellent communication skills with the ability to translate complex data into clear business insights.

- Comfortable working in fast-paced environments and managing multiple projects simultaneously.

- Exceptional written and verbal communication skills to influence cross-functional teams.

- Hands on experience with machine learning preferred.