

KellyOCG
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Urbandale, IA, offering a 12-month contract at $65.00 per hour. Key skills include Python, SQL, and machine learning. Experience with geospatial data and advanced AI techniques is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
February 12, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Urbandale, IA
-
🧠 - Skills detailed
#Python #Documentation #Tableau #Spatial Data #SQL (Structured Query Language) #Unsupervised Learning #JavaScript #Data Storage #Spark (Apache Spark) #ML (Machine Learning) #Data Modeling #Data Engineering #Normalization #Java #Datasets #Storage #Databricks #Leadership #Regression #Attribute Analysis #Indexing #AI (Artificial Intelligence) #Scala #Model Validation #Programming #Visualization #Supervised Learning #Data Science
Role description
Job Title: Data Scientist
Location: Urbandale, IA (Onsite)
Assignment Length: 12 Months (As a W2 employee of KellyOCG)
Pay Rate: $65.00 per hour
Shift Information: Standard onsite business hours
Visa sponsorship is not available, now or in the future, for this position. Cross border work is not permitted for this role.
Finding your ideal job can feel overwhelming, but KellyOCG is here to make it easier. We’re on the lookout for a skilled Data Scientist to join our team in Urbandale. This opportunity could be the next exciting step in your advanced analytics career!
Position Overview:
As a Data Scientist for John Deere’s Intelligent Services Group (ISG), you’ll leverage petabyte-scale datasets to build advanced analytics and models supporting intelligent, automated equipment and improved decisions for farmers globally. You’ll partner with product managers and data engineers to deliver full stack data science solutions that make a measurable impact.
Key Responsibilities:
• Communicate findings and methodologies clearly to stakeholders of varying backgrounds
• Develop and test predictive models using high-resolution machine and agronomic data
• Deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data
• Define, quantify, and analyze Key Performance Indicators (KPIs) for successful customer outcomes
• Work closely with data engineering teams to ensure efficient data storage and support for required analytics
Relevant Skills:
• Strong competency in developing production-ready models in an object-oriented programming language such as Python
• Experience using data-access technologies like SQL, Spark, Databricks, etc.
• Proficiency with visualization tools such as Tableau, Kepler.gl, etc.
• Experience with data modeling techniques (normalization, quality/coverage assessment, attribute analysis, performance management, etc.)
• Experience building machine learning models (regression, supervised/unsupervised learning, probabilistic inference, natural language modeling, etc.)
• Excellent communication skills: effective meeting leadership, reproducible documentation, persuasive writing, communicating proof-of-concepts, attentive note-taking
What Makes You Stand Out:
• Experience with geospatial data search and analysis, geo-indexing, vector/raster data structures
• Experience with remote sensing, GIS tools, and satellite imagery analysis
• Experience with computer vision and machine learning (CVML)
• Experience with advanced AI techniques and tools
• Examples of professional work (publications, patents, portfolio of relevant projects, etc.)
• Familiarity with distributed datasets
• Experience with a variety of data types (time-series, geo-tagged, text, structured, unstructured)
• Knowledge of additional languages (Java, JavaScript, Scala, etc.)
• Experience with simulations (Monte Carlo, Gibbs sampling, etc.)
• Skills in model validation, measuring model bias and drift
• Experience collaborating with stakeholders in Product, Sales, Finance, etc.
• Ability to explain complex analytics insights in accessible, nontechnical terms
Benefits
When it comes to working, we want to help take some of life’s pressures off - where we can. So, Kelly employees get access to great benefits, perks, and discounts.
EnrollVB Program
► Teledoc ► Supplemental Medical ► Min. Essential Coverage
► Dental ► Vision ► Legal & Financial
► Accident ► Short Term Disability ► Critical illness
► Term Life ► Whole Life
· Access 2 Wellness - lower medication costs
· Kelly’s Life Advisor Wellness Program - access to counselors to assist with a wide range of issues, including Life Coaching sessions
· Retirement Savings
· Direct Deposit. Weekly pay
· Free skills enhancement and training with More than 6,000 courses and 55,000 eBooks and publications are available
· Employee Discounts/Perk Spot - Thousands of popular retailers and service providers, you can obtain discounts for almost anything you can buy
· Holiday and Service plans where applicable
Job Title: Data Scientist
Location: Urbandale, IA (Onsite)
Assignment Length: 12 Months (As a W2 employee of KellyOCG)
Pay Rate: $65.00 per hour
Shift Information: Standard onsite business hours
Visa sponsorship is not available, now or in the future, for this position. Cross border work is not permitted for this role.
Finding your ideal job can feel overwhelming, but KellyOCG is here to make it easier. We’re on the lookout for a skilled Data Scientist to join our team in Urbandale. This opportunity could be the next exciting step in your advanced analytics career!
Position Overview:
As a Data Scientist for John Deere’s Intelligent Services Group (ISG), you’ll leverage petabyte-scale datasets to build advanced analytics and models supporting intelligent, automated equipment and improved decisions for farmers globally. You’ll partner with product managers and data engineers to deliver full stack data science solutions that make a measurable impact.
Key Responsibilities:
• Communicate findings and methodologies clearly to stakeholders of varying backgrounds
• Develop and test predictive models using high-resolution machine and agronomic data
• Deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data
• Define, quantify, and analyze Key Performance Indicators (KPIs) for successful customer outcomes
• Work closely with data engineering teams to ensure efficient data storage and support for required analytics
Relevant Skills:
• Strong competency in developing production-ready models in an object-oriented programming language such as Python
• Experience using data-access technologies like SQL, Spark, Databricks, etc.
• Proficiency with visualization tools such as Tableau, Kepler.gl, etc.
• Experience with data modeling techniques (normalization, quality/coverage assessment, attribute analysis, performance management, etc.)
• Experience building machine learning models (regression, supervised/unsupervised learning, probabilistic inference, natural language modeling, etc.)
• Excellent communication skills: effective meeting leadership, reproducible documentation, persuasive writing, communicating proof-of-concepts, attentive note-taking
What Makes You Stand Out:
• Experience with geospatial data search and analysis, geo-indexing, vector/raster data structures
• Experience with remote sensing, GIS tools, and satellite imagery analysis
• Experience with computer vision and machine learning (CVML)
• Experience with advanced AI techniques and tools
• Examples of professional work (publications, patents, portfolio of relevant projects, etc.)
• Familiarity with distributed datasets
• Experience with a variety of data types (time-series, geo-tagged, text, structured, unstructured)
• Knowledge of additional languages (Java, JavaScript, Scala, etc.)
• Experience with simulations (Monte Carlo, Gibbs sampling, etc.)
• Skills in model validation, measuring model bias and drift
• Experience collaborating with stakeholders in Product, Sales, Finance, etc.
• Ability to explain complex analytics insights in accessible, nontechnical terms
Benefits
When it comes to working, we want to help take some of life’s pressures off - where we can. So, Kelly employees get access to great benefits, perks, and discounts.
EnrollVB Program
► Teledoc ► Supplemental Medical ► Min. Essential Coverage
► Dental ► Vision ► Legal & Financial
► Accident ► Short Term Disability ► Critical illness
► Term Life ► Whole Life
· Access 2 Wellness - lower medication costs
· Kelly’s Life Advisor Wellness Program - access to counselors to assist with a wide range of issues, including Life Coaching sessions
· Retirement Savings
· Direct Deposit. Weekly pay
· Free skills enhancement and training with More than 6,000 courses and 55,000 eBooks and publications are available
· Employee Discounts/Perk Spot - Thousands of popular retailers and service providers, you can obtain discounts for almost anything you can buy
· Holiday and Service plans where applicable






