Associate Data Scientist - Enterprise & Reporting

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. The India Data & Analytics Global Capability Centre is an integral part of ACT’s Global Data & Analytics Team and the Associate Data Scientist will be a key player on this team that will help grow analytics globally at ACT.

About the Role The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables.

Responsibilities Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business

Utilize  data mining ,  statistical  and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data

Apply multiple  algorithms  or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions

Utilize cloud setup to extract processed data for  statistical modelling  and big data analysis, and  visualization  tools to represent large sets of time series/cross-sectional data

Structure hypothesis, build thoughtful analyses, develop underlying  data models , and bring clarity to previously undefined problems

Partner with  Data Engineering  to build, design and maintain core  data infrastructure , pipelines, and data workflows to automate dashboards and analyses

Articulate complex  data science models  to business teams and present the insights in easily understandable and innovative formats

Qualifications and experience Bachelor’s degree required, preferably with a quantitative focus ( Statistics ,  Business Analytics ,  Data Science , Math, Economics, etc.)

Master’s degree preferred (MBA/MS  Computer Science /M.Tech  Computer Science , etc.)

1–2 years of relevant working experience in a  data science / advanced analytics  role

Knowledge of  Functional Analytics  (Supply chain  analytics , Marketing   Analytics ,  Customer Analytics )

Knowledge and ability to conduct  statistical modelling  using  Analytical  tools (R,  Python , KNIME, etc.) and use big data technologies

Knowledge of  business intelligence  & reporting (Power BI,  Tableau ,  Alteryx , etc.)

Knowledge of Enterprise reporting systems, relational ( MySQL , Microsoft SQL Server etc.), non-relational database management systems and  Data Engineering  tools

Knowledge and ability to use Big data technologies (Hadoop, Spark, Kafka, Presto etc) and  Cloud computing  services in Azure/AWS/ GCP   for  data engineering , ML Ops

Ability to delivery, strong disposition towards business and strong interpersonal communication

Individual must be organized, dependable, able to multi-task and manage priorities, display initiative, and must have the ability to work independently in a demanding, fast-paced environment.

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