Intuit

Principal Data Scientist

Job description

Overview

Intuit is hiring a Principal Data Scientist to join our Intuit AI team in Mountain View, CA.

Come join our collaborative and creative group of data scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches. We are waiting for you to join us and do the best work of your life.

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 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

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

How you will lead


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
  • 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

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