Intuit Staff Data Scientist 

Kenya, Nairobi County, Nairobi 

229909464

• Set Technical Vision and Strategy:
  • Contribute to and help refine a data science roadmap aimed at driving product funnel optimization and scalable growth initiatives.
  • Apply rigorous causal inference methods, advanced statistical modeling, and machine learning techniques to turn complex data into actionable insights.
• Drive Deep Analytics & Experimentation:
  • Develop an integrated view of the customer journey across various business metrics, quickly familiarizing yourself with new areas to pinpoint growth opportunities.
  • Design, implement, and analyze targeted experiments to validate hypotheses, ensuring each initiative is built on data-driven insights and sound causal analysis.
• Collaborate Across Functions:
  • Work closely with Product, Engineering, Design, and other crossfunctional teams to translate data insights into strategic product enhancements.
  • Support ongoing improvements in instrumentation, data quality, and logging practices to enrich our analytical capabilities and understanding of customer behavior.
• Lead by Example:
  • Serve as a technical SME within the Product Growth team, championing analytical rigor and innovative problem-solving approaches.
• Operate with Agility and Impact:
  • Rapidly assimilate diverse business metrics and data sources to uncover insights and propose high-impact hypotheses.
  • Balance rigorous technical analysis with swift, iterative execution to ensure that insights are quickly transformed into effective strategies.

Experience & Expertise:

• 5+ years of experience in data science or analytics, with a proven record of applying advanced analytical methods to drive product and business growth.
• Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design.

Technical Proficiency:

• Advanced skills in SQL, Python, R, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Power BI) to communicate insights.
• Experience with data integration and pipeline development is a plus.

Cross-Functional Collaboration & Leadership:

• Strong ability to quickly understand new business areas, mastering the essential data and metrics needed for informed decision-making.
• Excellent communication and storytelling skills, with a track record of effectively influencing both technical and non-technical stakeholders through data-driven insights.

Mindset & Attributes:

• A relentless focus on customer centricity, with deep empathy and a commitment to uncovering opportunities that improve customer experiences.
• An agile, entrepreneurial mindset, capable of balancing long-term strategic initiatives with rapid, iterative experimentation.

Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master’s Degree preferred