

STAFFXPERT LLC
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Dallas, TX, for a 6-month contract. Required skills include machine learning, predictive analytics, SQL, and Python. Experience with large datasets, cloud platforms, and integrating ML models into applications is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 21, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Dallas, TX
-
🧠 - Skills detailed
#Libraries #ML (Machine Learning) #Python #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Azure #Pandas #SQL (Structured Query Language) #Data Science #Data Analysis #Datasets #NumPy #Cloud #Forecasting
Role description
Job Title: Data Scientist
Location: Dallas, TX 75204 (Onsite)
Duration: 6 Months
Job Summary
STAFFXPERT is seeking a Data Scientist to join our team and help build intelligent, data-driven capabilities into operational tools. The ideal candidate will leverage machine learning, predictive analytics, and data science techniques to improve recommendations, automate insights, and enhance decision-making.
Key Responsibilities
• Develop and deploy machine learning models to improve recommendations and business decisions.
• Perform predictive, descriptive, and prescriptive analytics on large historical datasets.
• Query and analyze historical data efficiently to identify trends, patterns, and actionable insights.
• Design data-driven solutions that address both current business needs and future planning.
• Build models that provide forward-looking recommendations rather than only solving immediate problems.
• Collaborate with cross-functional teams to integrate ML capabilities into existing tools and applications.
• Translate complex analytical findings into clear business recommendations.
Required Skills
• Strong experience in Data Science, Machine Learning, and Predictive Analytics.
• Experience working with large historical datasets and performing advanced data analysis.
• Strong SQL skills for efficient data querying and manipulation.
• Experience with descriptive and prescriptive analytics.
• Experience integrating ML models into enterprise applications or operational tools.
• Familiarity with recommendation systems, forecasting, optimization, or decision intelligence.
• Experience with cloud platforms (AWS, Azure, or GCP)
• Proficiency in Python and common ML/data science libraries (Pandas, NumPy, Scikit-learn, etc.).
• Ability to build recommendation engines or intelligent decision-support systems.
• Strong communication skills and the ability to explain analytical findings to business stakeholders.
Job Title: Data Scientist
Location: Dallas, TX 75204 (Onsite)
Duration: 6 Months
Job Summary
STAFFXPERT is seeking a Data Scientist to join our team and help build intelligent, data-driven capabilities into operational tools. The ideal candidate will leverage machine learning, predictive analytics, and data science techniques to improve recommendations, automate insights, and enhance decision-making.
Key Responsibilities
• Develop and deploy machine learning models to improve recommendations and business decisions.
• Perform predictive, descriptive, and prescriptive analytics on large historical datasets.
• Query and analyze historical data efficiently to identify trends, patterns, and actionable insights.
• Design data-driven solutions that address both current business needs and future planning.
• Build models that provide forward-looking recommendations rather than only solving immediate problems.
• Collaborate with cross-functional teams to integrate ML capabilities into existing tools and applications.
• Translate complex analytical findings into clear business recommendations.
Required Skills
• Strong experience in Data Science, Machine Learning, and Predictive Analytics.
• Experience working with large historical datasets and performing advanced data analysis.
• Strong SQL skills for efficient data querying and manipulation.
• Experience with descriptive and prescriptive analytics.
• Experience integrating ML models into enterprise applications or operational tools.
• Familiarity with recommendation systems, forecasting, optimization, or decision intelligence.
• Experience with cloud platforms (AWS, Azure, or GCP)
• Proficiency in Python and common ML/data science libraries (Pandas, NumPy, Scikit-learn, etc.).
• Ability to build recommendation engines or intelligent decision-support systems.
• Strong communication skills and the ability to explain analytical findings to business stakeholders.






