Intuit Principal Data Scientist 

Kenya, Nairobi County, Nairobi 

232357772

• Practices excellent leadership and communication skills to influence and lead teams and to evangelize data science across the organization
• Leads team’s work in one or more of: ML, NLP, Statistics, or Optimization, performs hand-on work in these domains.
• Weighs ROI considerations of general and tailored capabilities for projects in the team
• Creates new capabilities that solve critical business problems
• Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends
• Influences business leaders to shape mission critical projects
• Creates multi-year vision that connects product strategy with technology strategy
• Drives architecture decisions, influences and contributes to ML platform architecture and strategy
• Leads team and partners to the successful delivery and integration of ML solutions
• Conducts design reviews, holds teams to technical and operational rigor.
• Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community

• PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
• Solid knowledge of statistical techniques
• 3+ years as either a lead in a data science role or in a management position in data science
• Strong communication skills and proven experience as an influencer at the executive level
• Hands-on programming experience in one or more of: ML, NLP, Statistics, or Optimization
• 6+ years’ experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)
• 6+ years’ experience with a general-purpose programming language (e.g. Python, Scala, etc.)

Strongly Preferred:

• PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
• Expert knowledge and hands-on experience in one or more of: ML, NLP, Statistics, or Optimization
• Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns
• Proven track record of influencing business leaders to shape mission critical projects
• Proven track record of leading team to successful delivery of ML solutions
• Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel