Associate Data Scientist

3 days ago

Gurugram Haryana, India Circle K Full time

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 _**

**_ 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
- 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.

LI-DS1

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