Data Scientist

Title: Data Scientist (Contract) Location: Conshohocken, PA - Hybrid Pay Rate: $62.50–$72.00/hour (Determined by skill set) Hours: Monday–Friday; 8:00 AM–5:00 PM Overview We are seeking two experienced Data Scientists to support the adoption of algorithmic decision-making at scale within Group Digital. This contract role will focus on building, deploying, and maintaining machine learning and AI-driven solutions that enhance personalization, automation, and data-driven decision-making across digital products. Job Description Machine Learning & AI Development Develop, optimize, and deploy predictive and prescriptive machine learning models. Apply supervised and unsupervised learning techniques for customer classification, segmentation, and personalization. Utilize deep learning and neural networks to enhance customer profiling and recommendations. Implement and maintain MLOps practices to deploy, monitor, and retrain models in production. Design and fine-tune Large Language Models (LLMs) and Generative AI solutions for automation and user engagement. Explore and integrate knowledge graphs to improve data relationships and AI-driven recommendations. Data Engineering & Pipelines Partner with data engineers to design and maintain scalable data pipelines. Develop and optimize ETL processes using SQL and cloud-based solutions (GCP preferred). Write complex SQL queries for efficient data extraction, transformation, and loading. Implement CI/CD workflows for model training, deployment, and monitoring. Collaboration & Agile Development Work in an Agile/DevOps environment with cross-functional teams. Collaborate closely with product, engineering, and business stakeholders. Clearly communicate technical concepts, methodologies, and insights to technical and non-technical audiences. Promote a data-driven culture and advocate for AI-powered decision-making. Required Skills 5+ years of experience in Data Science, Machine Learning, or a related field Strong proficiency in Python and SQL Experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow) Experience deploying and monitoring models in production Strong understanding of probability, statistics, and experimental design (A/B testing) Experience with cloud platforms (GCP preferred; AWS acceptable) Familiarity with Agile and DevOps practices Education Requirements Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field Preferred (Nice-to-Have) Experience with Knowledge Graphs Hands-on experience with LLMs and Generative AI (GPT, BERT, LLaMA, Claude) Retail or personalization web technology experience Familiarity with IKEA’s digital ecosystem Experience with BI tools and data visualization Benefits (employee contribution): Health insurance Health savings account Dental insurance Vision insurance Flexible spending accounts Life insurance Retirement plan All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Rate of pay within the stated range will depend on the qualification of the applicant. #IND0126