Data Scientist

MASS Tech LLC; Greensboro (NC); On-site; 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

We’re looking for a Data Scientist who thrives on innovation and wants to make an impact at scale. In this role, you’ll lead high‑impact projects that drive personalization, automation, and smarter decision‑making across our digital products. You’ll collaborate with top‑tier professionals in a fast‑paced, inclusive environment, working with cutting‑edge technologies like Large Language Models (LLMs), Generative AI, and Knowledge Graphs. You’ll work on projects that truly matter, driving AI/ML adoption across a global organization. You’ll have the chance to innovate, learn, and grow alongside industry experts while contributing to a culture that values diversity, creativity, and continuous improvement.

Requirements

Your Role

• Develop and optimize predictive and prescriptive models to extract insights and enhance decision‑making.
• Apply deep learning and neural network techniques for customer classification, segmentation, and personalization.
• Utilize MLOps to efficiently deploy, monitor, and maintain ML models in production.
• Implement and fine‑tune Large Language Models (LLMs) and Generative AI solutions for automation and user engagement.
• Explore and integrate knowledge graphs to enhance data relationships and improve AI‑driven recommendations.
• Work with data engineers to design and develop robust data pipelines for large‑scale ETL processing using SQL and cloud‑based solutions (GCP preferred).
• Write complex SQL queries for extracting, transforming, and loading (ETL) data efficiently and implement CI/CD workflows to automate model training, deployment, and monitoring.
• Collaborate in an Agile/DevOps environment, promoting a data‑centric culture and clearly communicating complex methodologies and insights to technical and non‑technical audiences.

Your Skills and Experience

• 10+ years of experience in Data Science, Machine Learning, or related fields.
• Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit‑Learn).
• Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring.
• Proficiency in cloud platforms (GCP/AWS) and scalable data engineering.
• Strong understanding of probability theory, statistics, and experimental design (A/B Testing).
• Experience with collaborative software engineering practices (Agile, DevOps).
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or related field.
• Experience with Knowledge Graphs and their integration into AI/ML pipelines.
• Hands‑on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and Generative AI technologies.
• Background in Retail and Personalization Web Technologies.
• Understanding of digital ecosystems and data‑driven decision‑making.
• Proficiency in BI tools and data visualization.

Benefits

• Opportunity to lead architecture and shape at MASS Tech
• Competitive salary and performance‑based bonus
• Paid time off and holiday policy
• Professional development stipend
• Parental leave and healthcare coverage