Senior Data Scientist

Senior Data Scientist

Johnson Service Group (JSG) is currently looking for an experienced Senior Data Scientist to work in Chattanooga, TN. This is a long-term contract with the largest public energy provider in the U.S.

• Hourly Rate Range: $75.00 to $79.00 (DOE), p/h (time & a half for overtime)
• Citizenship: U.S. Citizenship is required
• Work Site
  
  Location:
  
  Chattanooga, TN
• Work Status: (100% Onsite)
• Duration: 2 Years
• Proposed start date: 05/25/26
• Proposed end date: 05/26/28
• Residency: Local or Regional candidates only.

This posting is for a Sr. Data Scientist position in AI Operations & Governance.

The responsibilities of this role include:

• Proficiency in AI, Machine learning (ML), AI development, deployment, and implementing AI/ML, LLMs, GenAI/Agentic AI applications, tools, and technology, and to support operational efficiency, risk mitigation, and compliance.
• Knowledge of AI Architecture for implementation of AI solutions and end-to-end AI pipelines, securely integrating with enterprise systems, and leveraging cloud-based platforms and AI Governance and MLOps practices (Machine Learning Operations).
• Developing and maintaining AI governance frameworks, including evaluating AI solutions and technologies, managing AI solutions across the AI lifecycle, model monitoring, bias detection, and explainability.
• Collaborating with cross‑functional teams to ensure AI solutions are compliant, secure, and aligned with the company's regulatory, ethical, and operational standards.
• Supporting the development of AI observability tools and pipelines to ensure transparency and accountability in AI‑driven decisions.

Responsible for modeling complex business problems and discovering business insights through the use of data mining techniques, statistical analysis, designing tools/applications, automation, and building high-quality prediction systems and incorporating them into business processes.

• The individual will work with leadership and SMEs from ER business units, key external business partners across the company, and the IT organization to develop technology tools/applications, support digital plans & strategies, and identify and develop proof of concepts.
• Ultimately responsible for developing data analytics and visualization products that provide insights across the agency to the company’s external risks and opportunities with stakeholders, including LPC’s, Industrial Customers, Local, State, and Federal Officials, Community Involvement, and Economic Development, current and potential customers.

• Lead efforts for identifying business insights through data structure, data mining, predictive models, and implementing innovative techniques for analysis and gathering business intelligence.
• In addition to enabling and informing key decision‑making, the data and models produced will be used in all manners of financial planning, business cases, economic development lead generation, customer and stakeholder analysis, reporting to regulators, and performing studies to optimize interactions in community involvement and local and federal policy.
• Research and implement cutting‑edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient, selecting features, building and optimizing classifiers using machine learning techniques.
• Strong ability to communicate complex data and modeling in a simple, actionable way.
• Ability to visualize data in the most effective way possible for a given project or study.
• Determine requirements that will be used to train and evolve deep learning models and algorithms.
• Data mining using state‑of‑the‑art methods to identify trends and patterns and generate insights that will optimize operational decisions and inform executive decision‑making.
• Extending the company's data with third‑party sources of information when needed.
• Enhancing data collection procedures to include information that is relevant for building analytic systems.
• Processing, cleansing, and verifying the integrity of data used for analysis.
• Doing ad‑hoc analysis and clearly presenting results using data visualization tools.
• Creating automated anomaly detection systems and…