Principal Data Scientist

Key Skills

Databricks, Java Programming, Python Programming, SPARK Programming, SQL

Job Description

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 - Urbandale
Function: Data & Analytics (CA)
Title: Principal Data Scientist - 84277
Onsite/Remote: Remote Position

Your Responsibilities

As a Principal Data Scientist for John Deere’s Intelligent Services Group (ISG), you will join a team leveraging petabyte-scale datasets for advanced analytics and model building in order to enable intelligent, automated equipment and improve decisions by farmers and ag service providers. Our team partners with product managers and data engineers to design, scale, and deliver full stack data science solutions. 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:\

• Develop, evaluate, and deliver production-ready models for vehicle routing, logistics planning, and decision recommendations for precision agriculture use cases. You will predict outcomes as well as prescribe actions for customers.
• Analyze and interpret high resolution machine and agronomic data to assess machine performance, operational productivity, and opportunities for improvement
• Partner with product managers and engineers to jointly discover the key needs and desired benefits of the John Deere Operations Center for dealers, retailers, and other agriculture businesses
• Communicate with impact your findings and methodologies to stakeholders at multiple levels
• Provide technical guidance, coaching and supervision for junior data scientists and actively peer review science within the team

In this role you will be expected to regularly deliver high quality, innovative results while working closely with other data scientists, engineers, and domain experts across the company. We believe in continuous improvement and are seeking a motivated person who wishes to grow their own skills while helping Deere deliver its vision for helping farmers feed the world.

What Skills You Need

• 10+ years of data science experience
• Exceptional skills with data analysis and interpretation, statistical inference, and predictive modeling
• Demonstrated experience delivering data science solutions in SaaS products as part of a product team
• 5 or more years in developing predictive ML / AI systems and with a strong track record of improving models through feature engineering
• Strong experience with Python and use of software engineering best practices
• A curious and inquisitive mind, with a desire to understand and solve problems
• Demonstrated ability to communicate complex analytical insights in a manner which is clearly understandable by non-experts
• An interest in mentoring and coaching other data scientists, whether under your direction or as peers

What Makes You Stand Out

• Previous experience building predictive models from precision agriculture data
• Expertise with large geospatial datasets or satellite imagery
• Demonstrated ability to function in a collaborative team environment that is distributed across time zones and locations
• A strong track record of publications, presentations, and contributions to the data science community
• Previous experience with Spark
• Previous experience with Databricks

Education

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

• Advanced degree with specialization in statistics, engineering, data science, computer vision, machine learning, mathematics, or computer science OR equivalent work experience