Data Scientist (EGG Digital)

Roles and Responsibilities

Collaborate with business, product, and engineering teams to identify opportunities for data-driven decision making and advanced analytics solutions

Design, develop, and deploy statistical, machine learning, and optimization models, including credit and income modeling

Build scalable data pipelines and workflows using big data technologies (e.g., Databricks, PySpark) and cloud platforms

Develop and maintain production-grade solutions, including APIs and backend services, following sound software engineering practices

Analyze large, complex datasets to uncover customer behavior patterns, insights, and drivers of customer experience

Monitor model performance, data quality, and system reliability; retrain and optimize models as business conditions evolve

Communicate analytical findings, assumptions, and recommendations clearly to technical and non-technical stakeholders

Qualifications

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

2-3 years of hands-on experience as a Data Scientist delivering end-to-end analytics or machine learning solutions

Strong experience in descriptive, predictive, and prescriptive analytics, including machine learning, forecasting, and optimization

Proficiency in Python and experience with big data frameworks such as PySpark and Databricks

Hands-on experience with ETL processes, workflow orchestration, databases, and query performance optimization

Strong software development skills, including API development, backend systems, version control (Git), and basic software architecture

Experience with Cloud technology and databases (Cloud AWS, Azure, GDP)

Optional: Exposure to Generative AI, Agentic AI, LLMs, or RAG-based solutions in production or experimentation contexts

Strong problem-solving and communication skills