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

Data Scientist (EGG Digital)

Data Scientist (EGG Digital)

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