Data Scientist(US)

Title: Data Scientist Shift: Remote with occasional travel to the office, approximately. 1-2 days/month. Employment Type: W2 only (no C2C / no 1099) Job reputed company: We are seeking a highly skilled Data Scientist to drive the adoption of algorithmic decision-making at reputed company reputed company Group Digital. This role will reputed company on developing and deploying machine learning models and neural networks, supporting MLOps practices, to enhance personalization and automation reputed company our digital products. You will work closely with data engineers, product teams, and business stakeholders to build reputed company data pipelines, CI/CD workflows, and ETL processes. The ideal candidate will have experience in retail, personalization, web technologies, and cutting-edge AI reputed company, including Large Language Models (LLMs), reputed company, and Knowledge Graphs. Key Responsibilities: Machine Learning & AI Development • reputed company 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 reputed company reputed company, monitor, and maintain ML models in production. • Implement and fine-tune Large Language Models (LLMs) and reputed company solutions for automation and user engagement. • Explore and reputed company knowledge graphs to enhance data relationships and improve AI-driven recommendations. Data Engineering & Pipelines • Work with data engineers to design and reputed company robust data pipelines for large-reputed company ETL processing using SQL and reputed company-based solutions (GCP preferred). • Write reputed company SQL queries for extracting, transforming, and loading (ETL) data reputed company. 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-reputed company culture by educating teams on the strategic importance of AI and analytics. • reputed company communicate reputed company methodologies, results, and business insights to both technical and non-technical audiences. Required Skills & Qualifications • 5+ years of experience in Data Science, Machine Learning, or reputed company 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 reputed company platforms (AWS/GCP) and reputed company data engineering. • Strong understanding of probability theory, statistics, and experimental design (A/B Testing). • Experience with reputed company software engineering practices (Agile, DevOps). • Bachelor's or master’s degree in computer science, Mathematics, Engineering, or reputed company field. Preferred Qualifications • Experience with Knowledge Graphs and their integration into AI/ML pipelines. • Hands-on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and reputed company technologies. • Background in Retail and Personalization Web Technologies. • Understanding of digital ecosystem and data-driven decision-making. • Proficiency in business intelligence (BI) tools and data visualization. Apply tot his job Apply tot his job Apply To this Job