Senior Data Scientist, AI & Personalization at Scale

MASS Tech LLC; Greensboro (NC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary and performance-based bonus

Paid time off and holiday policy

Professional development stipend

Parental leave and healthcare coverage

Job summary

A technology solutions company in Greensboro, NC is seeking a Data Scientist to lead impactful projects that enhance digital product capabilities. The ideal candidate will have over 10 years of experience in Data Science, strong skills in Python and SQL, and comprehensive knowledge of machine learning frameworks. Responsibilities include developing predictive models, applying deep learning techniques, and leveraging MLOps tools. This position offers a competitive salary, performance-based bonuses, and opportunities for professional development.

Qualifications

• 10+ years of experience in Data Science, Machine Learning, or related fields.
• Strong expertise in Python, SQL, and modern ML frameworks.
• Hands-on experience in LLMs and Generative AI technologies.

Responsibilities

• Develop and optimize predictive and prescriptive models.
• Apply deep learning techniques for customer classification and personalization.
• Utilize MLOps to deploy and monitor ML models in production.

Skills

Data Science

Machine Learning

Python

SQL

Deep Learning

MLOps

Cloud Platforms

Agile/DevOps

Education

Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering or related field

Tools

TensorFlow

PyTorch

Scikit-Learn

MLflow

Kubeflow

Airflow

Job description

A technology solutions company in Greensboro, NC is seeking a Data Scientist to lead impactful projects that enhance digital product capabilities. The ideal candidate will have over 10 years of experience in Data Science, strong skills in Python and SQL, and comprehensive knowledge of machine learning frameworks. Responsibilities include developing predictive models, applying deep learning techniques, and leveraging MLOps tools. This position offers a competitive salary, performance-based bonuses, and opportunities for professional development.