STAFFXPERT LLC
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist I position for a contract in Iowa, requiring a Bachelor's degree in a related field, proficiency in Python and SQL, and experience with data analysis and machine learning techniques.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 21, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Iowa, United States
-
🧠 - Skills detailed
#Databases #Datasets #GitHub #Scala #Data Analysis #Data Modeling #Spark (Apache Spark) #Agile #Databricks #PySpark #Python #Data Science #Telematics #SQL (Structured Query Language) #AI (Artificial Intelligence) #Bash #Data Pipeline #Mathematics #GIT #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Statistics #AWS (Amazon Web Services) #Data Engineering #Computer Science
Role description
Data Scientist I – Data Science & Machine Learning
Location: Iowa (Onsite)
Employment Type: Contract
About STAFFXPERT LLC
STAFFXPERT LLC partners with organizations to deliver high-quality hiring solutions across industries. We specialize in connecting skilled professionals with the right opportunities, ensuring an optimal fit for both clients and candidates. Learn more at https://staffxpertllc.com
Job Summary
STAFFXPERT LLC is seeking a Data Scientist I – Data Science & Machine Learning on behalf of our client in Urbandale, Iowa.
This role supports data science and machine learning initiatives by applying advanced analytics, statistical modeling, and ML techniques to solve complex business challenges. The ideal candidate will work cross-functionally to transform data into actionable insights that drive strategic decisions.
Key Responsibilities
• Lead and support end-to-end data science and analytics projects
• Translate business requirements into scalable analytical solutions
• Clean, preprocess, and analyze large structured and unstructured datasets
• Build, validate, and deploy statistical and machine learning models
• Perform feature engineering and support data pipeline preparation
• Collaborate with cross-functional teams to deliver data-driven insights
• Present findings through reports, dashboards, and stakeholder presentations
• Work within Agile teams while maintaining transparency in tasks and deliverables
• Stay current with emerging data science and machine learning trends
Required Qualifications
Education:
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field
Technical Skills:
• Strong proficiency in Python and SQL
• Hands-on experience with data analysis, ETL processes, and data preprocessing
• Solid understanding of statistical analysis and machine learning techniques
• Experience working with structured and/or unstructured datasets
• Strong analytical and problem-solving skills
• Excellent communication and collaboration abilities
• Ability to work independently in a fast-paced environment
Preferred Qualifications
• Master’s or PhD in a related field
• Experience with PySpark, Databricks, AWS, Git/GitHub, and Bash
• Knowledge of data modeling and relational databases
• Exposure to MLOps or Data Engineering practices
• Experience with AI/LLMs or transformer-based models
• Domain experience in telematics, agronomic, or manufacturing datasets
Data Scientist I – Data Science & Machine Learning
Location: Iowa (Onsite)
Employment Type: Contract
About STAFFXPERT LLC
STAFFXPERT LLC partners with organizations to deliver high-quality hiring solutions across industries. We specialize in connecting skilled professionals with the right opportunities, ensuring an optimal fit for both clients and candidates. Learn more at https://staffxpertllc.com
Job Summary
STAFFXPERT LLC is seeking a Data Scientist I – Data Science & Machine Learning on behalf of our client in Urbandale, Iowa.
This role supports data science and machine learning initiatives by applying advanced analytics, statistical modeling, and ML techniques to solve complex business challenges. The ideal candidate will work cross-functionally to transform data into actionable insights that drive strategic decisions.
Key Responsibilities
• Lead and support end-to-end data science and analytics projects
• Translate business requirements into scalable analytical solutions
• Clean, preprocess, and analyze large structured and unstructured datasets
• Build, validate, and deploy statistical and machine learning models
• Perform feature engineering and support data pipeline preparation
• Collaborate with cross-functional teams to deliver data-driven insights
• Present findings through reports, dashboards, and stakeholder presentations
• Work within Agile teams while maintaining transparency in tasks and deliverables
• Stay current with emerging data science and machine learning trends
Required Qualifications
Education:
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field
Technical Skills:
• Strong proficiency in Python and SQL
• Hands-on experience with data analysis, ETL processes, and data preprocessing
• Solid understanding of statistical analysis and machine learning techniques
• Experience working with structured and/or unstructured datasets
• Strong analytical and problem-solving skills
• Excellent communication and collaboration abilities
• Ability to work independently in a fast-paced environment
Preferred Qualifications
• Master’s or PhD in a related field
• Experience with PySpark, Databricks, AWS, Git/GitHub, and Bash
• Knowledge of data modeling and relational databases
• Exposure to MLOps or Data Engineering practices
• Experience with AI/LLMs or transformer-based models
• Domain experience in telematics, agronomic, or manufacturing datasets
