Senior Data Scientist

Circle K; Ahmedabad District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Alimentation Couche-Tard Inc. (ACT) India Data & Analytics Global Capability Centre seeks an Associate Data Scientist to drive analytics globally. You will partner with Global Marketing, Merchandising, Global Technology, and Business Units to deliver advanced analytics projects.

Responsibilities include data cleaning, EDA, model building, and creating polished deliverables, while leveraging cloud-based data extraction and visualization tools to tell data-driven stories.

Qualifications

• Bachelor’s degree in a quantitative field is required.
• Master’s degree is preferred (MBA/MS in CS, etc.).
• 5+ years of experience in data science/advanced analytics.
• Knowledge of analytics domains: supply chain, marketing, customer analytics.
• Experience with statistical modelling using R/Python and big data tech.
• Knowledge of BI/reporting tools: Power BI, Tableau, Alteryx.

Responsibilities

• Deliver advanced analytics projects driving business results.
• Interpret business needs and select appropriate methodologies.
• Clean data, perform EDA, build models, and create deliverables.
• Analyze large structured and unstructured data for insights.
• Apply ML techniques to retail, marketing, merchandising and more.
• Collaborate with Data Engineering to build data infra and pipelines.
• Present insights to business teams in clear, engaging formats.

Skills

Statistical modelling

Python

R

KNIME

Power BI

Tableau

Alteryx

Big data tools

Cloud platforms

ML & analytics

SQL databases

Education

Bachelor’s degree in quantitative field

Master’s degree preferred

Tools

KNIME

Power BI

Tableau

Alteryx

Python

R

MySQL

Microsoft SQL Server

Hadoop

Spark

Kafka

Presto

Azure

AWS

GCP

Job description

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-scalestructuredand unstructured data; develop deep-dive analyses andmachine learning modelsin retail, marketing, merchandising, and other areas of the business
• Utilize data mining, statisticalandmachine 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 modellingand 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/MSComputer Science/M.TechComputer Science, etc.)
• 5+ 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 SQLServer 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.

Requirements: