Job ID: JOB_ID_2935
Job Overview:
The Data Scientist position is required based on uncovered needs while working with the client’s 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.
Key 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.
Required Qualifications:
- Bachelors or Masters 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.
Required Skills/Experience:
- 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.
Administrative Considerations:
- Work Schedule: Monday-Friday 7:30 AM to 4:00 PM – Includes teleworking but attending in-person meetings when needed.
- State Resources and Oversight: Workstation and supervision by client’s Program Manager.
- Security/Privacy Considerations: Pass Background Investigation, sign confidentiality statement.
- General Miscellaneous: All work product property of the client’s Governing Board. Travel not included.
Keywords:
machine learning, access management, business intelligence, Connecticut, Data Scientist, Hartford, CT, Hybrid
Special Requirements
Hybrid work environment with 2 days onsite. Local candidates only. Requires passing a background investigation and signing a confidentiality statement. Domain experience in Criminal Justice Agencies is a plus. Experience with deep learning frameworks (TensorFlow, PyTorch), cloud platforms (AWS or Azure), MLOps tools (MLflow, Airflow, Docker). Experience deploying models into SDLC environments.
Compensation & Location
Salary: $55 – $60 per year
Location: Hartford, CT
Recruiter / Company – Contact Information
Recruiter / Employer: Pull Skill Technologies Inc.
Email: adam@pullskill.com
Recruiter Notice:
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