Data Scientist in Philadelphia, PA (100% Remote & must EST time zone)

Job Title: Data Scientist

Location: Philadelphia, PA (100% Remote & must EST time zone)

Duration: 12+ Months Contract

Job Description:

Data Scientist

It s remote role but candidates must be in EST time zone

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 (Google Cloud Platform 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/Google Cloud Platform) 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