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Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position based in Houston, TX, on a contract basis with a pay rate of $61.25-$87.50 per hour. Requires a BS/MS in a quantitative field, 3 years of data analysis and machine learning experience, and proficiency in programming and data science libraries.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
696
-
🗓️ - Date
January 28, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Houston, TX
-
🧠 - Skills detailed
#Programming #Libraries #Data Science #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Mathematics #Cloud #Visualization #Data Analysis #Computer Science #ML (Machine Learning) #Deployment
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Mitchell Martin, Inc., is seeking the following. Apply via Dice today!
Title: Data Scientist
Location: Houston, TX
Position Type: Contract
Compensation
Pay Range:$61.25-$87.50 Per Hr
Job Description:
Join our team as an entry-level data professional in Houston, TX.
This contract position involves working with senior team members to analyze and interpret data, creating insights that guide decision-making.
You'll utilize programming and statistical methods to build models and visualizations for various business applications.
Key Responsibilities
Collaborate with teams to identify data sources, clean, and transform data for analysis.
Perform exploratory data analysis to identify trends and communicate insights through visualizations.
Support the development and deployment of statistical models, ensuring performance and accuracy.
Translate analytical results into actionable insights for both technical and non-technical stakeholders.
Work with cross-functional teams to support project delivery and continuous improvement.
Qualifications
BS or MS in a quantitative field such as Data Science, Computer Science, or Mathematics.
3 years of experience in data analysis and machine learning through various roles or projects.
Proficiency in programming languages and data science libraries.
Understanding of machine learning and statistical techniques.
Effective communication skills for diverse audiences.
Core Technologies
Programming Languages | Data Science Libraries | Visualization Tools | SQL | Cloud Platforms
Contact Information
Jessica Safarik,
Onboarding Expectations
Learn more about our Onboarding Process here
EEO Statement
Learn more about our EEO policy here
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Mitchell Martin, Inc., is seeking the following. Apply via Dice today!
Title: Data Scientist
Location: Houston, TX
Position Type: Contract
Compensation
Pay Range:$61.25-$87.50 Per Hr
Job Description:
Join our team as an entry-level data professional in Houston, TX.
This contract position involves working with senior team members to analyze and interpret data, creating insights that guide decision-making.
You'll utilize programming and statistical methods to build models and visualizations for various business applications.
Key Responsibilities
Collaborate with teams to identify data sources, clean, and transform data for analysis.
Perform exploratory data analysis to identify trends and communicate insights through visualizations.
Support the development and deployment of statistical models, ensuring performance and accuracy.
Translate analytical results into actionable insights for both technical and non-technical stakeholders.
Work with cross-functional teams to support project delivery and continuous improvement.
Qualifications
BS or MS in a quantitative field such as Data Science, Computer Science, or Mathematics.
3 years of experience in data analysis and machine learning through various roles or projects.
Proficiency in programming languages and data science libraries.
Understanding of machine learning and statistical techniques.
Effective communication skills for diverse audiences.
Core Technologies
Programming Languages | Data Science Libraries | Visualization Tools | SQL | Cloud Platforms
Contact Information
Jessica Safarik,
Onboarding Expectations
Learn more about our Onboarding Process here
EEO Statement
Learn more about our EEO policy here






