Data Scientist

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) - Iowa  - Urbandale  
Function: Data & Analytics (CA)
Title: Data Scientist - 111228 
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.  

Your Responsibilities

As a Data Scientist for Intelligent Solutions Group Urbandale located in Urbandale, IA, you will:

• Run advanced and predictive analyses and perform model assessments, validation, and enhancement activities, using predictive analytics' software tools and functionalities.
• Work independently to collate and analyze data using predetermined tools, methods, and formats to create standard insights.
• Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy.
• Create basic machine learning algorithms and support creation of more complex algorithms that identify patterns in structured data. Partner with different business stakeholders and internal clients to ensure the collection of data in accordance with model standards.
• Consult and educate stakeholders on methods for streamlining and standardizing data recording to ensure quality and accuracy.
• Conduct research using primary data sources, and select information needed for the analysis of key themes and trends.
• Support collection of business requirements using a variety of methods, such as interviews, document analysis, and workflow analysis, to express requirements clearly and succinctly.
• Contribute to the preparation of various data and analytics reports.
• Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation, where relevant, to improve performance and fulfill personal potential. 
• Maintain an understanding of relevant technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media.

VISA Sponsorship is NOT available for this position

What Skills You Need

• Programming: Proficient in Python and relevant libraries (e.g., Pandas, Scikit-learn, NumPy).
• Problem-Solving: Strong analytical and problem-solving skills, with the ability to identify and address data quality issues.
• Statistical Knowledge: Understanding of statistical concepts, and the ability to apply them to data analysis.
• Machine Learning: Experience and strong understanding of machine learning algorithms, techniques, model development, and evaluation.
• Data Analysis: Ability to independently collate, analyze, and interpret complex data using established tools and methodologies.
• Model Assessment: Experience in performing model assessments, validation, and enhancement activities.
• Data Visualization: Ability to create clear and informative visualizations to communicate insights.
• Communication: Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
• Collaboration: Proven ability to work effectively in an agile work environment and collaborate with cross-functional stakeholders.
• Data Reporting: Contributed to the preparation of various data and analytics reports.
• MLOps: Familiarity with MLOps principles and practices for model deployment and monitoring.

What Makes You Stand Out

• 2 plus years of experience in Data Science and Machine Learning
• Education: PhD in Computer Science, Statistics, Mathematics, Engineering or a related field.
• Big Data Technologies: Experience working with large datasets using Spark.
• Geospatial Data: Experience working with geospatial data and related tools (e.g., GeoPandas, ArcGIS, QGIS).
• Databricks: Hands-on experience with the Databricks platform.
• CVML: Experience with Computer Vision (CVML).
• Cloud Platforms: Experience with cloud platforms (AWS, Azure, GCP).
• Advanced Modeling: Experience in creating and supporting the creation of complex machine-learning algorithms.
• Domain Expertise: Experience in agriculture and precision agriculture.
• Research Experience: Experience conducting research using primary data sources and analyzing industry trends.
• GenAI and Advanced AI: Familiarity with Generative AI and other advanced AI techniques.

Education

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

• A minimum of a Master's degree in Computer Science, Statistics, Mathematics, Data Science,  Engineering, or a related quantitative field is required.
• A PhD in any of the above fields is highly desirable, and candidates with a PhD will be given preference.
• Exceptional candidates with a Bachelor of Science (BSc) degree in the aforementioned fields who possess significant and demonstrable experience in data science, particularly within the agriculture and precision agriculture domain, may be considered.

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 Contribution)
• 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

 $85,176.00  - $127,752.00  + Benefits

Follow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL 

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, 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.