Role: Data Scientist

Work location: Philadelphia, PA

Job Summary

We are seeking a highly skilled Data Scientist to drive the adoption of algorithmic decision-making at scale within Group Digital. This role will focus on developing and deploying machine learning models, neural networks, support MLOps practices, to enhance personalization, and automation within our digital products. You will work closely with data engineers, product teams, and business stakeholders to build scalable data pipelines, CI/CD workflows, and ETL processes. The ideal candidate will have experience in retail, personalization web technologies, and cutting-edge AI methods, including Large Language Models (LLMs), Generative AI, and Knowledge Graphs.

Required Skills & Qualifications

5+ 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 (AWS/GCP) 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.

Preferred Qualifications

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 client’s digital ecosystem and data-driven decision-making.
Proficiency in business intelligence (BI) tools and data visualization.

Datum Technologies Group

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