Data Scientist
10 hours ago
Circle K (Part of Alimentation Couche-Tard Inc., (ACT)) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has a footprint across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT’s Global Data & Analytics Team, and the Data Scientist will be a key player on this team that will help grow analytics globally at ACT. This is a unique opportunity to be a part of an experienced team of data scientists and analysts within a large organization.
**_ About the role_**
**_ Roles & Responsibilities_**
**_ Analytics (Data & Insights) _**
- Evaluate performance of categories and activities, using proven and advanced analytical methods
- Support stakeholders with actionable insights based on transactional, financial or customer data on an ongoing basis
- Oversee the design and measurement of experiments and pilots
- Initiate and conduct advanced analytics projects such as clustering, forecasting, causal impact
- Build highly impactful and intuitive dashboards that bring the underlying data to life through insights
**_ Operational Excellence_**
- Improve data quality by using and improving tools to automatically detect issues
- Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACT’s protocol
- Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas
**_ Stakeholder Management_**
- Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business
- Create compelling documentation or artefacts that connects business to the solutions
- Coordinate internally to share key learning with other teams and lead to accelerated business performance
- Be an advocate for a data-driven culture among the stakeholders
**_ Job Requirements_**
**_ Education_**
- A higher degree in an analytical discipline like Finance, Mathematics, Statistics, Engineering, or similar
**_ Relevant Experience_**
- Experience: 3-4 years for Data Scientist
- Relevant working experience in a quantitative/ applied analytics role
- Experience with programming, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Spark / SQL / Python
- Excellent communication skills in English, both verbal and written
**_ Behavioural Skills_**
- Delivery Excellence
- Business disposition
- Social intelligence
- Innovation and agility
**_ Knowledge_**
- Functional Analytics (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.)
- Working understanding of Statistical modelling & Time Series Analysis using Analytical tools (Python, PySpark, R, etc.)
- Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)
- Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference
- Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), database management systems
- Business intelligence & reporting (Power BI)
- Cloud computing services in Azure/ AWS/ GCP for analytics
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