Data Scientist

We’re looking for a Data Scientist who thrives on innovation and wants to make an impact  this role, you’ll lead high‑impact projects that drive personalization, automation, and smarter decision‑making across our digital products. You’ll collaborate with top‑tier professionals in a fast‑paced, inclusive environment, working with cutting‑edge technologies like Large Language Models (LLMs), Generative AI, and Knowledge Graphs. You’ll work on projects that truly matter, driving AI/ML adoption across a global organization.

You’ll have the chance to innovate, learn, and grow alongside industry experts while contributing to a culture that values diversity, creativity, and continuous improvement.

• Develop and optimize predictive and prescriptive models to extract insights and enhance decision‑making.
• Apply deep learning and neural network techniques for customer classification, 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.
• 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 and implement CI/CD workflows to automate model training, deployment, and monitoring.
• Collaborate in an Agile/Dev Ops environment, promoting a data‑centric culture and clearly communicating complex methodologies and insights to technical and non‑technical audiences.

• 10+ years of experience in Data Science, Machine Learning, or related fields.
• Strong expertise in Python, SQL, and modern ML frameworks (Tensor Flow, PyTorch, Scikit‑Learn).
• Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring.
• Proficiency in cloud platforms (GCP/AWS) and scalable data engineering.
• Strong understanding of probability theory, statistics, and experimental design (A/B Testing).
• Experience with collaborative software engineering practices (Agile, Dev Ops).
• 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 digital ecosystems and data‑driven decision‑making.
• Proficiency in BI tools and data visualization.

• Opportunity to lead architecture and shape at MASS Tech
• Competitive salary and performance‑based bonus
• Paid time off and holiday policy
• Professional development stipend
• Parental leave and healthcare coverage