Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position based in Dallas, TX, for a 12-month contract. Requires 8+ years of experience, 5+ years in data science, strong Python and SQL skills, and expertise in AI/ML, Generative AI, and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 13, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Cloud #Monitoring #Azure #R #NLP (Natural Language Processing) #SageMaker #SQL (Structured Query Language) #Data Pipeline #Anomaly Detection #Neural Networks #Microsoft Power BI #PyTorch #Classification #Tableau #Hugging Face #Spark (Apache Spark) #AWS SageMaker #Python #TensorFlow #Programming #MLflow #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #BERT #Clustering #Regression #Langchain #Security #Model Evaluation #Docker #Forecasting #BI (Business Intelligence) #Data Analysis #ML (Machine Learning) #AI (Artificial Intelligence) #Databases #Data Science
Role description
Job Title: Data Scientist
Location: Dallas, TX (Onsite)
Job Type: 12 month contract
About the Role
We are seeking a highly skilled and motivated Data Scientist to join our growing analytics team in Dallas. This is a hands-on role where you’ll design, develop, and deploy AI/ML solutions that drive measurable impact across our business. You’ll work on diverse projects including predictive modelling, Generative AI/LLM applications, customer analytics, and real-time anomaly detection, collaborating with engineers, stakeholders, and product teams.
Key Responsibilities
• Design, develop, and deploy machine learning and AI models (classification, regression, NLP, computer vision, forecasting).
• Build and optimize end-to-end data pipelines using Python, SQL, Spark, and cloud platforms (AWS, Azure, GCP).
• Implement Generative AI/LLM workflows (RAG, LangChain, Hugging Face, vector databases) for enterprise use cases.
• Conduct exploratory data analysis, feature engineering, and model evaluation with tools like Scikit-learn, TensorFlow, and PyTorch.
• Develop and maintain ML pipelines with MLOps frameworks (MLflow, Docker, CI/CD, monitoring & retraining).
• Partner with business leaders to translate problems into data-driven solutions and deliver clear insights via dashboards (Tableau, Power BI).
• Ensure models are interpretable, compliant, and aligned with governance and security requirements.
What We’re Looking For
• 8+ years total experience (must-have)
• 5+ years’ professional experience in data science, ML, or applied AI (candidates with more senior backgrounds are also encouraged to apply).
• Strong programming skills in Python and SQL; familiarity with R is a plus.
• Hands-on experience with cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI).
• Proficiency in ML algorithms (tree-based models, neural networks, NLP, clustering, time-series forecasting).
• Experience with Generative AI/LLMs (GPT, BERT, LLaMA, or similar) and RAG/LLMOps workflows preferred.
• Excellent problem-solving, communication, and stakeholder engagement skills.
Job Title: Data Scientist
Location: Dallas, TX (Onsite)
Job Type: 12 month contract
About the Role
We are seeking a highly skilled and motivated Data Scientist to join our growing analytics team in Dallas. This is a hands-on role where you’ll design, develop, and deploy AI/ML solutions that drive measurable impact across our business. You’ll work on diverse projects including predictive modelling, Generative AI/LLM applications, customer analytics, and real-time anomaly detection, collaborating with engineers, stakeholders, and product teams.
Key Responsibilities
• Design, develop, and deploy machine learning and AI models (classification, regression, NLP, computer vision, forecasting).
• Build and optimize end-to-end data pipelines using Python, SQL, Spark, and cloud platforms (AWS, Azure, GCP).
• Implement Generative AI/LLM workflows (RAG, LangChain, Hugging Face, vector databases) for enterprise use cases.
• Conduct exploratory data analysis, feature engineering, and model evaluation with tools like Scikit-learn, TensorFlow, and PyTorch.
• Develop and maintain ML pipelines with MLOps frameworks (MLflow, Docker, CI/CD, monitoring & retraining).
• Partner with business leaders to translate problems into data-driven solutions and deliver clear insights via dashboards (Tableau, Power BI).
• Ensure models are interpretable, compliant, and aligned with governance and security requirements.
What We’re Looking For
• 8+ years total experience (must-have)
• 5+ years’ professional experience in data science, ML, or applied AI (candidates with more senior backgrounds are also encouraged to apply).
• Strong programming skills in Python and SQL; familiarity with R is a plus.
• Hands-on experience with cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI).
• Proficiency in ML algorithms (tree-based models, neural networks, NLP, clustering, time-series forecasting).
• Experience with Generative AI/LLMs (GPT, BERT, LLaMA, or similar) and RAG/LLMOps workflows preferred.
• Excellent problem-solving, communication, and stakeholder engagement skills.
