Data Scientist

Philadelphia, PA - USA

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

Local or nearby candidates only

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 Recommendation Engines Large Language Models (LLMs) Generative AI and Knowledge Graphs.

Key Responsibilities:
Key Responsibilities
Machine Learning & AI Development
Develop and optimize predictive and prescriptive models to extract insights and enhance decision-making. Knowledgeable in supervised and unsupervised learning. Apply deep learning and neural network techniques for customer classification and profiling customer segmentation and personalization.
Utilize MLOps and GCP services 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.
Data Engineering & Pipelines
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. Implement CI/CD workflows to automate model training deployment and monitoring.
Collaboration & Agile Development
Work in an Agile/DevOps environment collaborating with cross-functional teams to drive data-driven innovation.
Promote a data-centric culture by educating teams on the strategic importance of AI and analytics.
Clearly communicate complex methodologies results and business insights to both technical and non-technical audiences.

What are the Mandatory skills and skill proficiencies required for this position
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 (GCP) and scalable data engineering.
Experience implementing and testing recommendation engines.
Strong understanding of probability theory statistics and experimental design (A/B Testing).
Experience with collaborative software engineering practices (Agile DevOps).
Bachelors or Masters degree in Computer Science Mathematics Engineering or related field.
Preferred Qualifications
Background in Retail and Personalization Web Technologies.
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.
Understanding of clients digital ecosystem and data-driven decision-making.
Proficiency in business intelligence (BI) tools and data visualization.

Local or nearby candidates only 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 personaliz...

Local or nearby candidates only