Data Scientist – Advanced Analytics

About the role

This role is responsible for conducting advanced analytics to generate breakthrough insights that support critical business decisions. The Data Scientist builds, tests, and improves medium‑complexity analytical models using descriptive, diagnostic and predictive statistics, and leverages big data to produce actionable business intelligence.

Key responsibilities

• Mine data using modern tools and programming languages, develop algorithms, and build data‑driven applications.
• Incorporate predictive modeling, statistics and other techniques to explore, interpret and extract insights from structured and unstructured data.
• Support implementation of models to uncover patterns, create business value and drive innovation.
• Create data stories and visualizations to communicate findings.
• Ensure accuracy, integrity and compliance of cleansed data.
• Collaborate with project teams to understand problem statements and deliver solutions.

Required profile

• Four‑year degree in Mathematics, Statistics, Economics, Computer Science, Data Science or related discipline.
• 1–2 years of experience in data analytics, statistical modeling, machine learning or a related field.
• Preferred certifications in programming languages such as SQL or Python.

Required skills

• Python, R, SQL
• Machine Learning, Deep Learning, Predictive Modeling, Statistical Modeling
• Data Mining, Data Analysis, Data Visualization (Tableau)
• Big Data technologies (Amazon Web Services, Apache Spark)
• Algorithms, Artificial Intelligence, Natural Language Processing