Data Scientist - Raleigh, NC, Dallas, TX, Richmond, VA, Alpharetta, GA, Santa Fe, NM
Job in
Raleigh, Wake County, North Carolina, 27601, USA
Listed on 2026-07-04
Listing for:
TechniPros
Full Time
position Listed on 2026-07-04
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Job Description & How to Apply Below
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
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.
- Experience as a Data Scientist, Data Analyst, Machine Learning Engineer, or related role.
- Statistics
- Probability
- Data Modeling
- Python
- R
- SQL
- Scikit-learn
- Tensor Flow
- Py Torch
- Lang Chain
- OpenAI APIs
- Hugging Face
- MLflow
- Docker
- Apache Airflow
- Experience working with AWS Cloud Services.
- 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.
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×