John Deere Data Wrangler, Precision Ag Analytics in Johnston, Iowa
There are 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 in our 175-year history. 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.
Primary Location: United States (US) - Iowa (US-IA) - Johnston
Function: Data Science & Analytics
Title: Data Wrangler, Precision Ag Analytics - 56982
Note: This position may be located in Urbandale, IA, or San Francisco, CA, per the hiring manager's discretion. This may be dependent on the successful candidate's background, experience, and proficiency:
As a Data Wrangler, Precision Ag Analytics for John Deere’s Intelligent Services Group (ISG), you will join our team building world class data science solutions to enable smarter machines and better decisions for our customers. As a data wrangler – you will iteratively evaluate and transform data from a variety of sources (including geospatial, transactional, and imagery data) while partnering with a data scientist to create algorithms utilizing machine learning and artificial intelligence. Join a team that is passionate about making a difference by applying cutting edge technology to solve some of the world's biggest problems. In addition, you will:
Discover, ingest, and evaluate data for completeness and quality and recommend cleaning techniques as appropriate for data science solutions
Develop and execute data transformation within a cloud environment to progress data science solutions forward
Research and recommend methods and technology to efficiently manage data and processing to support the operationalization of data science
Collaborate and communicate closely with data scientists and engineers to identify and build needed infrastructure, tools, and libraries to support machine learning algorithms
Visa sponsorship is NOT available for this position.
What Skills You Need
2 or more years of experience and proficiency in at least two of the following technologies - SQL, Python, Scala, or Spark
2 or more years working with large data sets and data processing within a cloud-based environment
2 or more years of experience working across data sources to generate insights
1 or more years of experience analyzing geospatial data
2 or more years of experience developing analytic/data visualizations
2 or more years of experience working with relational databases
What Makes You Stand Out
Other areas of experience or interest that will help us place you on the right team include:
2 or more years of experience working with unstructured data
2 or more years of experience working with agronomic data
2 or more years of experience working on cross-functional projects
Experience working in an agile environment
Education (or equivalent work experience)
- Bachelor's degree in Computer Science, Computer Engineering, or Data and Analytics
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 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.
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 or expression, status as a protected veteran, or status as a qualified individual with disability.