

Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position based in Urbandale, IA or Austin, TX, with a contract until 10/2026, offering $58 - $65 per hour. Key skills include Python, SQL, machine learning, and data visualization. Experience in agriculture analytics is preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
520
-
ποΈ - Date discovered
June 28, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
On-site
-
π - Contract type
W2 Contractor
-
π - Security clearance
Unknown
-
π - Location detailed
Austin, TX
-
π§ - Skills detailed
#Tableau #Spatial Data #Data Science #Datasets #Python #SQL (Structured Query Language) #Model Validation #Data Engineering #Databricks #JavaScript #Scala #Unsupervised Learning #Indexing #AI (Artificial Intelligence) #Data Modeling #Data Quality #Attribute Analysis #Regression #Spark (Apache Spark) #Supervised Learning #Normalization #Visualization #Java #ML (Machine Learning)
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Title: Data Scientist
Location: Urbandale, IA, 50322 or Austin, TX
Duration: Until 10/2026
W2 Contract (No C2C)
Pay rate: $58 - $65 per hour
Job Description:
Would prefer candidates that can work onsite in Urbandale or Austin, TX.
As a Data Scientist for clientβs Intelligent Services Group (ISG), you will join a team leveraging petabyte-scale datasets for advanced analytics and model building to enable intelligent, automated equipment and improved decisions by farmers. Our team partners with product managers and data engineers to design, scale, and deliver full stack data science solutions. Join a passionate team making a difference by applying innovative technology to solve some of the world's biggest problems.
You will:
β’ Communicate with impact your findings and methodologies to stakeholders with a variety of backgrounds.
β’ Work with high resolution machine and agronomic data in the development and testing of predictive models.
β’ Develop and deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data.
β’ Define, quantify, and analyze Key Performance Indicators that define successful customer outcomes.
β’ Work closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics.
Relevant skills include:
β’ Demonstrated competency in developing production-ready models in an Object-Oriented Prog language such as Python.
β’ Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, etc.
β’ Experience with Visualization tools such as Tableau, Kepler.gl, etc.
β’ Experience with Data Modeling techniques such as Normalization, data quality and coverage assessment, attribute analysis, performance management, etc.
β’ Experience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc.
β’ Excellent communication skills. Able to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, and to effectively take notes.
What makes candidates stand-out are skills such as:
β’ Experience with Geospatial data search and analysis, geo-indexing techniques, vector and raster data structures.
β’ Experience with remote sensing, GIS tools, and satellite imagery analysis.
β’ Experience with CVML
β’ Experience with advanced AI techniques and tools.
β’ Examples of professional work such as publications, patents, a portfolio of relevant project-work, etc.
β’ Familiarity with Distributed Datasets
β’ Experienced with a variety of data structures such as time-series, geo-tagged, text, structured, and unstructured.
β’ Additional experience with other languages such as Java, JavaScript, Scala, etc.
β’ Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc.
β’ Experience with model validation, measuring model bias, measuring model drift, etc.
β’ Experience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc.
β’ Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences.
Important information: To be immediately considered, please send an updated version of your resume to somp767@kellyservices.com.