Job Title: Data Scientist
Job location: Philadelphia PA
Job Duration: 3 Months to Contract
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 Recommendation Engines Large Language Models (LLMs) Generative AI and Knowledge Graphs.
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.
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.
Why Join Us
- Work on high-impact AI/ML projects driving digital transformation.
- Collaborate with top-tier professionals in a fast-paced environment.
- If you are passionate about machine learning MLOps knowledge graphs and cutting-edge AI apply now to be part of our innovative team
Job Title: Data Scientist Job location: Philadelphia PA Job Duration: 3 Months to Contract 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 learnin...
Job Title: Data Scientist
Job location: Philadelphia PA
Job Duration: 3 Months to Contract
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 Recommendation Engines Large Language Models (LLMs) Generative AI and Knowledge Graphs.
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.
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.
Why Join Us
- Work on high-impact AI/ML projects driving digital transformation.
- Collaborate with top-tier professionals in a fast-paced environment.
- If you are passionate about machine learning MLOps knowledge graphs and cutting-edge AI apply now to be part of our innovative team
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