Associate Data Scientist

About The Role

Join our India Data & Analytics Global Capability Centre as an Associate Data Scientist and become a key player in growing analytics globally at Alimentation Couche-Tard Inc. (ACT). You will partner with various departments, including Global Marketing, Merchandising, Global Technology, and Business Units, to deliver advanced analytics projects that drive significant business results. Your responsibilities will encompass interpreting business needs, selecting appropriate methodologies, data cleaning, exploratory data analysis, model building, and creating polished deliverables.

Responsibilities

• Analyze large-scale structured and unstructured data, developing deep-dive analyses and machine learning models in retail, marketing, merchandising, and other business areas.
• 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, recommending the best model with in-depth descriptions to advocate for data-driven business decisions.
• Leverage cloud environments to extract processed data for statistical modeling and big data analysis, and employ visualization tools to represent large sets of time series/cross-sectional data.
• Structure hypotheses, build thoughtful analyses, develop underlying data models, and bring clarity to previously undefined problems.
• Collaborate with Data Engineering to build, design, and maintain core data infrastructure, pipelines, and data workflows for automating dashboards and analyses.
• Articulate complex data science models to business teams and present insights in easily understandable and innovative formats.

Qualifications And Experience

• A Bachelor's degree is required, preferably with a quantitative focus (e.g., Statistics, Business Analytics, Data Science, Math, Economics).
• A Master's degree is preferred (e.g., MBA, MS Computer Science, M.Tech Computer Science).
• 1-3 years of relevant working experience in a data science or advanced analytics role.
• Knowledge of Functional Analytics (e.g., Supply chain analytics, Marketing Analytics, Customer Analytics).
• Proficiency in statistical modeling using analytical tools such as R, Python, and KNIME, along with experience in big data technologies.
• Familiarity with business intelligence and reporting tools like Power BI, Tableau, and Alteryx.
• Knowledge of Enterprise reporting systems, relational (e.g., MySQL, Microsoft SQL Server) and non-relational database management systems, and Data Engineering tools.
• Experience with Big data technologies (e.g., Hadoop, Spark, Kafka, Presto) and cloud computing services (Azure/AWS/GCP) for data engineering and ML Ops.
• Demonstrated ability to deliver results, a strong business acumen, and excellent interpersonal communication skills.
• Must be organized, dependable, capable of multi-tasking and managing priorities, display initiative, and possess the ability to work independently in a demanding, fast-paced environment.