Data Scientist

Data Scientist

This job is no longer open

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.

John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.

Primary Location: United States (US) - Illinois - Moline

Function: Data & Analytics (CA)

Title: Data Scientist - REMOTE - 96653

Onsite/Remote: Remote Position

This position is eligible for remote work at the present time. The arrangement may be delayed for training or other job acclimation purposes and remains subject to change.

Visa sponsorship is NOT available for this position.

Your Responsibilities

As a Data Scientist for Deere & Company World Headquarters located in Moline, IL , you will execute data science projects which drive aftermarket growth and an improved customer experience over the lifetime. A primary focus of this role will be to improve sales and demand forecasts and stocking recommendations, ensuring service parts are available at a dealership when customers need them. You will follow the Aftermarket Analytics Delivery Process to:

  • Collaborate with business stakeholders and analytics team members while taking ownership of complex projects which convert abstract concepts into data science solutions

  • Query and manipulate complex datasets to prepare data for analysis

  • Develop data products such as statistical analyses, dashboards, and models which deliver actionable value to stakeholders

  • Lead code review, validation, and design review activities to ensure and demonstrate high-quality output

  • Participate in strategic roadmap planning and assist in defining project proposals and scope

  • Communicate results at multiple levels of technical detail to various stakeholders

What Skills You Need

  • 2+ years of experience with a statistical programming language (Python, R, or similar)

  • 2+ years of experience of advanced SQL programming

  • 2+ years of experience executing data science projects involving advanced techniques (such as statistical analysis, predictive modeling, forecasting, data visualization, and machine learning) from beginning to end

  • Skill in interpersonal communications and ability to communicate complex topics to non-technical audiences

What Makes You Stand Out

  • Experience using Spark through python and/or Databricks

  • Experience with sales and demand forecasting using time series and/or other regression approaches

  • Knowledge of supply chain concepts, inventory optimization, and constraints

  • Knowledge of dealers, products, customers, markets, and companies in the heavy equipment industry

  • Advanced understanding of dealer channel aftermarket processes, digital solutions, and metrics

  • MS degree in related discipline


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

  • BS Degree discipline or equivalent experience - University Degree (4 years or equivalent)

What You'll Get

At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. 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. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:

  • Flexible work arrangements

  • Highly competitive base pay and performance bonuses

  • Savings & Retirement benefits (401K and Defined Benefit Pension)

  • Healthcare benefits with a generous company contribution in the Health Savings Account

  • Adoption assistance

  • Employee Assistance Programs

  • Tuition assistance

  • Fitness subsidies and on-site gyms at specific Deere locations

  • Charitable contribution match

  • Employee Purchase Plan & numerous discount programs for personal use

Follow this link to learn 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.

The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.

ACA Section 1557 Nondiscrimination Notice

The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, color, national origin, age, disability, or sex.

This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.