Responsibilities:

• Excellent leadership and communication skills, to influence and lead teams and to evangelize data science across the organization 
• Proven leadership experience in the domain of Data Science and Machine Learning/Artificial Intelligence 
• 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 and tools like Tableau 
• 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 decisionmaking, 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 teams 

Qualifications: 

• 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 executive level  Hands-on programming experience with one or more of the following: Java, Python, R, or related languages 
• 5+ years’ experience manipulating large datasets and using databases (e.g. SAS, R, SQL, S-Plus, etc.) 
• 1-3+ years’ experience with a general-purpose programming language (e.g. C, Java, Python, etc.) 
• Familiarity with basic principles of distributed computing and/or distributed databases (Hadoop, NoSQL, etc.)

Strongly Preferred: 

•  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