Temporary Data Engineer C2C Jobs in Philadelphia, PA

Description:
Possible 3 Month CTH | No Fees | Do Not Re-Post | Confidential
Skype interview is mandatory please provide the candidates skype ID, VIDEO INTERVIEW IS MANDATORY. NO CPT ALLOWED.
Submit candidates under their legal name and use only Capgemini template
Candidate's photo ID IS MANDATORY FOR ALL CANDIDATES EVEN CITIZENS.
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Hiring Status: C2C/W2/1099QOpen for CTH (y/n):
Timeslots for Skype interview (provide Skype ID)
Due to additional onboarding requirements, a meet and greet is required for all new hires.
Candidates must be willing to go to the closest Capgemini, Client, or offsite location as indicated by project team to meet with a Capgemini team member prior to starting their assignment.
If the candidate is not local, travel will be required at the expense of the Capgemini project team (will receive project code for vendor to submit invoices in SAP Fieldglass for reimbursement). If travel is involved, will send travel policy document for the candidate to adhere to
Vendors: If your candidate is selected for interview, you need to take screenshot of candidate and interviewer once interview is initiated. THIS IS NOW MANDATORY FOR ALL INTERVIEWS to confirm candidate is same as person in CV.
Marie Samayoa
OBO Tactical Procurement | Procurement
Capgemini North America | Guatemala
Email: Marie.samayoa@capgemini.com
Job Description: Data Scientist
Location: Philadelphia, PA
Client Specific Location
Open for remote work from East Coast
Our client is 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.
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 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.
• 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.
• 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 IKEA's digital ecosystem and data-driven decision-making.
• Proficiency in business intelligence (BI) tools and data visualization.
• Retail industry experience, specifically Production of Consumer Goods
Named Job Posting? (if Yes - needs to be approved by SCSC)
Additional Details

• Global Grade : C
• Named Job Posting? (if Yes - needs to be approved by SCSC) : No
• Remote work possibility : No
• Global Role Family : 60242 (P) Data Management
• Global Technical Skills Family : 6341 (T) Data Science and Analytics
• Local Role Name : Data Scientist
• Local Skills : Ashish Mhatre
• Languages Required: : English