Job Description

Senior Data Scientist

Location US-CA-San Diego ID 2019-13457 Category Data

Overview

Overview:

Intuit is hiring a Senior Data scientist to focus on our Consumer Group. We are looking for exceptional talent that can drive customer benefit for our personal finance offerings.

Responsibilities

Responsibilities:

Excellent leadership and communication skills to influence teams and to evangelize data science across the organization

Proven experience in the domain of Data Science

Having a wide-latitude in determining 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 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

Qualifications

Qualifications:

MS or PhD in Statistics, Applied Math, Operations Research, Computer Science, Physics, Engineering, or related fields, or equivalent experience

Solid knowledge of statistical techniques is required

Proven experience with Machine Learning techniques, especially on large scale datasets

Hands-on programming experience with one or more of the following: Java, Python, R, or related languages

1-3+ years’ experience manipulating large datasets and using databases (e.g. SQL, Hive, Spark, Python, R, etc.)

1-3+ years’ experience with a general-purpose programming language (e.g. Python, C, Java, etc.)

Familiarity with basic principles of distributed computing and/or distributed databases (Hadoop, NoSQL, etc.)

Familiarity with cloud computing environments (AWS, Azure, Google Cloud, 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

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

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