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

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Job Title: Data Scientist

Duration: 12+ Months Contract

Job Description:

Data Scientist

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