| Data Scientist - Philadelphia, PA (onsite) at Philadelphia, Pennsylvania, USA |
| Email: [email protected] |
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From: Barla Santosh, Gacsol [email protected] Reply to: [email protected] Title: Data Scientist Location: Philadelphia, PA (onsite) 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 Masters 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 IKEAs digital ecosystem and data-driven decision-making. Proficiency in business intelligence (BI) tools and data visualization. Retail industry experience, specifically Production of Consumer Goods Thanks, Barla Santosh Technical Recruiter E: [email protected] www.gacsol.com Experts in Digitalization and Engineering - Enterprise 4.0 Keywords: continuous integration continuous deployment artificial intelligence machine learning business intelligence Pennsylvania Data Scientist - Philadelphia, PA (onsite) [email protected] |
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| 04:56 AM 06-Feb-25 |