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 Summary:
We are 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 and neural networks, supporting 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.
Key Responsibilities:
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.
Required Skills & Qualifications
• 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 master’s degree in computer science, Mathematics, Engineering, or related 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 Generative AI 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 Now
Apply Now
Shift: Remote with occasional travel to the office, approximately. 1-2 days/month.
Employment Type: W2 only (no C2C / no 1099)
Job Summary:
We are 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 and neural networks, supporting 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.
Key Responsibilities:
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.
Required Skills & Qualifications
• 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 master’s degree in computer science, Mathematics, Engineering, or related 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 Generative AI 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 Now
Apply Now