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John Deere Data Scientist - Asset Value Risk in Johnston, Iowa

At John Deere, we run so life can leap forward. This powerful purpose is our promise to humankind that we will dream, design and deliver breakthrough products that sustain our world for generations to come. The world is counting on us to feed billions of people and build vital infrastructures in villages, towns, and megacities. We live up to the legacy our founder forged in a one-room blacksmith's shop nearly two centuries ago by creating a culture that brings out the best in all of us. A culture where great ideas thrive because every voice is heard.

Primary Location: United States (US)- Iowa- Johnston

Function: Data & Analytics (CA)

Title: Data Scientist - Asset Value Risk- 84770

Onsite/Remote:Remote Position

Your Responsibilities

* This position may be located in Johnston IA or can be performed remotely per the hiring managers discretion. This may be dependent on the successful candidates background, experiences, and proficiency *

As a Data Scientist for the Asset Valuation team at John Deere Financial located in Johnston, IA, you will.

  • participate in the development and lifecycle management of the machine learning or regression-based asset value models, this may include development, enhancement, maintenance, and validation of models that are used across a growing number of functions and users within John Deere Financial.

  • Proposes innovative ways to look at problems utilizing analytical methodology and available data.

  • Supports communication of derived insights

What Skills You Need

  • Demonstrated proficiency in mining cleansing, and analyzing data set using various programming languages (R, Python, SAS, SQL, etc.)

  • Exposure to developing and deploying advanced data science techniques, including predictive and machine learning models and time series forecasting, to drive business solutions

  • Communications skills, including the ability to cogently convey advanced technical concepts to a non-

  • analytical audience

  • Demonstrated commitment to team success and a proactive, collaborative approach to problem solving

What Makes You Stand Out

  • Proficiency in R or Python programing

  • Exposure to cloud services (AWS) and interacting with a Data Lake environment

  • Exposure to R Shiny application development

  • Knowledge of Agriculture and Construction & Forestry equipment

  • Knowledge of finance and accounting concepts and financial products

Education

Ideally you will have a degree or equivalent related work experience in the following:

  • Bachelors degree in quantitative field (e.g. mathematics, statistics, data science, analytics, computer science, information technology, economics, engineering). Masters degree preferred.

    What You'll Get

    At John Deere, you are empowered to create a career that will take you to where you want to go. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. We offer comprehensive relocation and reward packages to help you get started on your new career path. Click here (http://www.deere.com/en/our-company/john-deere-careers/why-john-deere/) to find out more about our Total Rewards Package.

    The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.

    An Equal Opportunity Employer, John Deere requires a diversity of people, perspectives and ideas to address the complex challenges of its global business. John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity, status as a protected veteran, or status as a qualified individual with disability.

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