DATA SCIENTIST/MACHINE LEARNING (ML) ENGINEER - 74416

Executive Service

This position is designed as Hybrid.

Background Check:

Requires CJIS/FTI Fingerprints and name-based checks. This position requires a criminal background check. Therefore, you may be required to provide information about your criminal history in order to be considered for this position.

Who we are and what we do:

The Data Scientist leverages advanced analytics, machine learning, and AI techniques to solve complex business problems. This role involves translating business needs into data-driven solutions, performing exploratory analysis, and developing predictive and generative models. The ideal candidate combines strong technical expertise with business acumen and thrives in collaborative environments.

How you make a difference in this role:

See key responsibilities below.

Key Responsibilities:

1. Works closely with agencies and STSs functional, engineering, and technology teams to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
2. Conducts end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
3. Develop, validate, and deploy machine learning and AI models, including GenAI frameworks.
4. Conduct feature engineering and optimize algorithms for performance.
5. Communicate insights and recommendations through clear visualizations and presentations.
6. Collaborate with stakeholders, engineers, and MLOps teams to integrate solutions into production.
7. Research emerging technologies and contribute to internal innovation initiatives

Required Skills & Qualifications:

1. Proficiency in Python and data analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
2. Experience with GenAI frameworks and deep learning techniques such as retrieval augmented generation (RAG), AI agents, and model fine-tuning.
3. Experience with SQL and data manipulation (e.g., Snowflake, Redshift).
4. Strong understanding of statistical modeling, machine learning, and AI concepts.
5. Familiarity with AWS-based AI tools (Bedrock, Sagemaker). Ability to communicate technical concepts to non-technical audiences.

Minimum Qualifications:

Preferred Skills:

1. Knowledge of data visualization tools (Tableau, Power BI).
2. Familiarity with MLOps practices and version control (Git). Exposure to cloud-based data pipelines and streaming technologies.
3. Ability to write scripts to automate ETL tasks Actively participates and contributes in brain-storming session.
4. Can work seamlessly with people from other disciplines: IT engineers, Agency SMEs, business consultants

Education & Experience: Bachelors degree in a quantitative field (Computer Science, Statistics, Mathematics, Engineering). Masters degree preferred. 2 years of experience in data science, analytics, or related roles.

Pursuant to the State of Tennessee's Workplace Discrimination and Harassment policy, the State is firmly committed to the principle of fair and equal employment opportunities for its citizens and strives to protect the rights and opportunities of all people to seek, obtain, and hold employment without being subjected to illegal discrimination and harassment in the workplace. It is the State's policy to provide an environment free of discrimination and harassment of an individual because of that person's race, color, national origin, age (40 and over), sex, pregnancy, religion, creed, disability, veteran's status or any other category protected by state and/or federal civil rights laws.