What you'll bring

• PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
• Solid knowledge of statistical techniques is required
• 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 with one or more of the following: Java, Python, R or related languages
• 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.)
• Familiarity with basic principles of distributed computing and/or distributed databases (Hadoop, NoSQL, etc.)
• Demonstrable ability to quickly understand new concepts-all the way down to the theorems—and to come out with original solutions to mathematical issues

• 
  PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
• Proven experience with Machine Learning techniques, especially on large scale datasets
• Proven experience with Hadoop and related programming environments (Hive, Pig, etc)
• Demonstrable skills in creative-problem-solving of complex and advanced technical subject matter
• Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel

How you will lead

• Excellent leadership and communication skills, to influence and lead teams and to evangelize data science across the organization
• Proven leadership experience in the Data Science domain
• Having a wide-latitude in determining objectives and approaches to solution development on mission critical assignments
• Going beyond established analytical thinking and problem-solving by applying creativity to unconventional concepts and out-of-the-box solutions
• Be part of a dynamic and cohesive team of highly trained and successful researchers
• Independence in the shaping and development of projects
• Ability to quickly understand patterns within large quantity of data and to reference key characteristics using visualization techniques
• Demonstrating strong programming skills in large-scale data analysis using Java, R, Python or related software
• Leveraging strong math skills and statistical knowledge to advanced data mining and data analysis activities related to next generation Cloud technologies
• As an insight incubator, works autonomously or leads teams to generate or shape new and highly critical business propositions that exploit and monetize big data research
• Provides consultative guidance across Intuit's businesses on how best to utilize data for business decision-making, and to build the organization mind-set and capabilities needed to fully exploit this data as an asset
• Works with business planners to propose innovative products and services that fully utilize the power of big data, or that indicate the need for new data platforms and associated product/service functionality
• Sets self-initiated research objectives and exercises a wide latitude of discretionary judgment in exploring advances in artificial intelligence and applying innovative machine learning techniques to Intuit's data capturing and mining business strategy
• Collaborates with infrastructure architects in assessing and addressing the requirements for more automated, streamlined systems and for the data governance required for agile and responsive data manipulation
• Introduces industry-leading or academic-based ideas, research, and insights required by Intuit leadership to solve complex questions or fuel new business opportunities
• Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community