Senior Data Scientist – Analytics Solutions

About the role

We are seeking a Senior Data Scientist to design and deliver advanced analytics solutions for our clients. The role combines deep technical expertise with business acumen to transform data into actionable insights.

Key responsibilities

• Gather and translate business requirements into technical specifications.
• Conduct detailed business analysis to identify problems, opportunities, and data‑driven solutions.
• Perform data wrangling, build predictive models, and deploy them at scale.
• Stay up‑to‑date with the latest research and share knowledge across the organization.
• Lead initiatives that boost team morale, collaboration, and knowledge sharing.

Required profile

• Strong numerical aptitude and a proven track record in data science.
• Ability to communicate complex insights to non‑technical stakeholders.
• Quick learner eager to adopt new technologies and methodologies.
• Experience managing end‑to‑end data projects with risk and resource awareness.

Required skills

• Hands‑on experience with Python, R, PySpark or SparkR.
• Proficiency in SQL and relational databases.
• Experience with cloud platforms (Azure, GCP, AWS) and tools such as Databricks, Snowflake, Azure DevOps.
• Knowledge of machine‑learning techniques: clustering, classification, dimensionality reduction, demand forecasting, price/promo optimization.
• Solid understanding of statistical concepts, distributions, and hypothesis testing.
• Familiarity with project lifecycles (waterfall and agile) and at least one domain (retail, supply chain, logistics, manufacturing).