You are viewing a preview of this job. Log in or register to view more details about this job.
Email

Position:  Data Scientist (Ref: 18145)

Location:  Hartford, CT USA, 06106

Salary:  DOE

Duration:  1 Years 4 Months 4 Days - Fulltime

Openings:  1

Deadline:  03/10/2026

Description:

***Local Candidates
***Hybrid

We are seeking a Data Scientist who 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 INCLUDE:
• 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 in performing 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

QUALIFICATIONS: Data Scientist
• 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 (adjust based on level)
• 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
• 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.

 

Required / Desired Skills

  • Ability to translate complex results into business insights Required - 4 Years
  • AWS or Azure Required - 4 Years
  • Collaborative and team-oriented Required - 4 Years
  • Excellent communication and presentation skills Required - 4 Years
  • MLOps Required - 4 Years
  • PFyTorch Required - 4 Years
  • SDLC Required - 4 Years
  • Self-starter with strong ownership mindset Required - 4 Years
  • Strong problem solving and analytical thinking Required - 4 Years
  • TensorFlow Required - 4 Years