Decision Scientist - R/Python

As a Decision Scientist at our company, you will be responsible for partnering with product managers, business stakeholders, designers, and engineers to generate insights that drive product/business decisions. Your role will involve analyzing user behavior, measuring feature performance, and optimizing the product roadmap. Key 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. Qualifications: - 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 plus. - 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. As a Decision Scientist at our company, you will be responsible for partnering with product managers, business stakeholders, designers, and engineers to generate insights that drive product/business decisions. Your role will involve analyzing user behavior, measuring feature performance, and optimizing the product roadmap. Key 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. Qualifications: - 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 plus. - 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.