Data Scientist
generis tek•Atlanta, GA
•Hybrid
About The Position
The Criminal Justice Information System (CJIS) Data Scientist is a position required based on uncovered needs while working with the CJIS Analytics Subcommittee. This position will be responsible for delivering measurable impact through data-driven initiatives, deploying reliable models that improve business KPIs, providing clear, actionable recommendations to the subcommittee, and contributing towards building a scalable data science infrastructure.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field
- 2+ years of experience in data science, analytics, or machine learning
- Strong proficiency in Python (pandas, NumPy, scikit-learn)
- Experience with SQL and relational databases
- Solid understanding of statistics and probability
- Experience building and validating ML models (classification, regression, clustering and neural networks)
- Experience working with data visualization tools (Tableau, Power BI, or similar)
- Experience working with large datasets
Nice To Haves
- Experience with deep learning frameworks (TensorFlow, PyTorch)
- Experience with cloud platforms (AWS or Azure)
- Knowledge of MLOps tools (MLflow, Airflow, Docker)
- Experience deploying models into various SDLC environments
- Domain experience in Criminal Justice Agencies would be a plus
- Strong problem solving and analytical thinking
- Excellent communication and presentation skills
- Ability to translate complex results into business insights
- Self-starter with strong ownership mindset
- Collaborative and team-oriented
Responsibilities
- Assist users to translate business challenges into data science problems and analytical solutions
- Collect, clean, and pre-process large structured and unstructured datasets
- Assist to develop, validate, and deploy machine learning models
- Assist to perform statistical analysis and hypothesis testing
- Assist in designing and analyzing A/B experiments
- Assist in building predictive and prescriptive models
- Communicate insights clearly to technical and non-technical stakeholders
- Collaborate with data engineers to produce models
- Assist in monitoring model performance and retrain as necessary
- Contribute to data science best practices and documentation
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
