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
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💰 - Day rate
Unknown
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🗓️ - Date
July 21, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - 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.