Data Scientist

Data Scientist builds scalable, data-driven solutions from the ground up to address mission-critical business challenges, continuously exploring innovative statistical, machine learning, and AI methodologies to deliver end-to-end analytical solutions that drive measurable business impact.

Requirements

• Master’s or PhD degree in computer science, data science, mathematics, physics, statistics, physics, or closely related quantitative discipline.
• Typically, 3-4 years’ experience working as a Data Scientist building products /features using machine learning, deep learning and generative AI
• Strong background in statistical and machine learning techniques such as anomaly detection, clustering and ranking of events, time series analysis, hypothesis testing, causal inference, deep learning and reinforcement learning, semi-supervised learning, or mixed time-series/event streams
• Experience with GenAI and large language models (LLMs). Agentic AI is a plus
• Familiarity with and understanding of design for software systems
• Proficient Python coder (PySpark, Scikit-learn), experience with software engineering best practices
• Advanced understanding of Object-Oriented Programming (OOP)
• Understanding microservice architecture and how they can be built in a containerized, Kubernetes-managed environment is central to all modern cloud-native applications.
• Designing and integrating software systems running on multiple platform types into the overall architecture
• Great written and verbal communication skills. Ability to effectively communicate product architectures and design proposals at senior management levels; strong data visualization skills
• Relevant industry experience in data science and machine learning

Benefits

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion