Sr Data Scientist- Retail Industry GCP Knowledge Graphs

Capgemini; Philadelphia (Philadelphia County); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading company in the digital and software sector seeks a highly skilled Sr Data Scientist specializing in the retail industry. This role involves developing advanced AI models to enhance personalization and automate decision-making processes while working in a collaborative agile environment. Candidates should possess strong expertise in Python and SQL, with extensive experience in MLOps and machine learning practices.

Benefits

Healthcare including dental, vision, mental health, and well-being programs

Financial well-being programs such as 401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Family building benefits like adoption assistance, surrogacy, and cryopreservation

Social well-being benefits like subsidized back-up child/elder care and tutoring

Mentoring, coaching and learning programs

Employee Resource Groups

Disaster Relief

Qualifications

• 7-10 years of experience in Data Science or Machine Learning.
• Expertise in cloud platforms (AWS/GCP) for scalable data engineering.
• Experience with Knowledge Graphs and LLMs.

Responsibilities

• Develop and optimize predictive models using machine learning.
• Collaborate to build scalable data pipelines and CI/CD workflows.
• Promote data-driven innovation in an Agile/DevOps environment.

Skills

Python

SQL

MLOps

Machine Learning

Data Engineering

Agile

Education

Bachelor's or Master’s degree in Computer Science, Mathematics, Engineering

Tools

TensorFlow

PyTorch

Scikit-Learn

MLflow

Kubeflow

Airflow

Neo4j

Job description

Job Description - Sr Data Scientist- Retail Industry GCP Knowledge Graphs (079765)

Sr Data Scientist- Retail Industry GCP Knowledge Graphs - 079765

About the job you’re considering

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.

Your role

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.

Your skills and experience

• 7-10 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 (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 (including the Neo4j tool) 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.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini Engineering

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities &

Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.

Capgemini Engineering is an integral part of the Capgemini Group, a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.