Job Description
Data Scientist - Raleigh, NC, Dallas, TX, Richmond, VA, Alpharetta, GA, Santa Fe, NM. Remote in Raleigh, NC, US • Posted 3 hours ago • Updated 32 minutes ago Contract W2 On-site $DOE TechniPros, LLC Fitment Dice Job Match Score™ 🧠 Analyzing your skills... Job Details Skills Python AWS Pytorch Docker SQL R Data Science Data Modeling machine learning TensorFlow scikit-learn LangChain OpenAI APIs statistics
MLflow Hugging Face Apache Airflow Predictive Modeling Probability Summary Job Title:
Data Scientist Location:
Raleigh, NC, Dallas, TX, Richmond, VA, Alpharetta, GA,Santa Fe, NM. Long Term Contact Can do Only W2, No C2C Job Summary:
We are seeking a highly motivated Data Scientist to join our team in Dallas, TX. The ideal candidate will be responsible for transforming raw data into actionable business insights, developing predictive models, and supporting data-driven decision-making processes. This role requires expertise in machine learning, statistical analysis, data modeling, and modern AI/ML technologies. Key Responsibilities:
Extract actionable insights from large and complex datasets to support strategic business decisions. Design, develop, and deploy predictive models and machine learning algorithms to forecast trends and outcomes. Analyze data to identify patterns, anomalies, risks, and opportunities for process improvement. Build data-driven solutions that enable business stakeholders to make informed decisions. Develop analytical reports, dashboards, and visualizations to communicate findings effectively. Collaborate with cross-functional teams including business stakeholders, engineers, and product teams. Utilize modern AI/ML frameworks and cloud technologies to build scalable data science solutions. Support model monitoring, validation, and optimization activities. Required Skills experience as a Data Scientist, Data Analyst, Machine Learning Engineer, or related role. Strong understanding of:
Statistics Probability Data Modeling Proficiency in: Python R SQL Experience with Machine Learning frameworks and libraries: Scikit-learn TensorFlow PyTorch Hands-on experience with Generative AI and LLM technologies: LangChain OpenAI APIs Hugging Face Experience with MLOps tools: MLflow Docker Apache Airflow Experience working with AWS Cloud Services. Preferred Qualifications Experience building and deploying production-grade machine learning solutions. Knowledge of end-to-end ML lifecycle management and model deployment practices. Exposure to Generative AI, Large Language Models (LLMs), and AI application development. Familiarity with cloud-native AI/ML architectures on AWS. Experience with data visualization and reporting tools. Best Regards:
Bindu M Phone:
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Employers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity. Dice Id:
10429554 Position Id:
2026-1363 Posted 3 hours ago Company Info About TechniPros, LLC TechniPros is a fast growing software consulting company offering mission critical consulting solutions to businesses through cutting-edge technologies since 2005. We help our clients successfully respond and capitalize on opportunities by providing professional services in the areas of systems integration and staff supplementation. We aim to deliver innovative and practical solutions, from concept through implementation and maintenance. To be a pioneer in technology services industry and to attain & sustain a primary place in attaining quality staffing services to support human capital management needs.
