Data Scientist - Hybrid

Hybrid in East Hartford, CT, US • Posted 18 hours ago • Updated 14 hours ago

Contract W2

Contract Independent

No Travel Required

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

TensorFlow
PyTorch
AWS
SDLC
MLOps

Summary

Title: Data Scientist - Hybrid

Location:Atlanta, GA

Length:Long term

Restriction: w2 or 1099 or c2c

Description:

Interview Type:***Web Cam Interview*** Very long term project; expect to go for 4+ years ***w2 or 1099 or c2c ***Hybrid***

Job description:

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 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

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

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: msyca001
Position Id: AMZ-CJIS (22PSX0086)
Posted 18 hours ago

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