About the role

Aplyr's Quick Take

This role is for a Data Scientist focused on delivering analytics projects that drive business value at Circle K. You'll analyze large datasets, build machine learning models, and collaborate with various departments to support data-driven decisions. It's primarily an individual contributor role with some stakeholder engagement.

Good fit

Ideal candidates have a strong background in data science or analytics, with experience in machine learning and statistical modeling. You should be comfortable working independently and collaborating with different teams, and have a quantitative degree.

Worth noting

The position emphasizes collaboration across multiple departments and requires strong communication skills to translate complex data insights into actionable business strategies. The role also involves working with cloud technologies and big data, which could be a plus for those looking to expand their technical skills.

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. Circle K India Data & Analytics team is an integral part of ACT’s Global Data & Analytics Team, and the Data Scientist/Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT.

The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units.

About the role

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.

Roles & Responsibilities

Analytics & Strategy

Analyse 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

Operational Excellence

Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project
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.

Stakeholder Engagement

Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables
Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats

Job Requirements

Education

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.)

Relevant Experience

3 - 4 years for Data Scientist
Relevant working experience in a data science/advanced analytics role

Behavioural Skills

Delivery Excellence
Business disposition
Social intelligence
Innovation and agility

Knowledge

Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)
Statistical modelling using Analytical tools (R, Python, KNIME, 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.
Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)
Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)
Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)
Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools
Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)
Microsoft Office applications (MS Excel, etc.)

#LI-DS1

Skills & Tags

data

Aplyr's read

Circle K is a global convenience store chain focused on customer service, attracting individuals interested in retail and hospitality roles.
Synthesized from recent postings & public sources

What's promising

•Circle K offers diverse roles, providing opportunities for both full-time and part-time employment.
•The company's global presence allows for potential career growth and international opportunities.
•Circle K emphasizes customer service, which can be rewarding for those who enjoy customer interaction.

What to watch

•High turnover in retail roles may affect job stability and workplace morale.
•Limited advancement opportunities in entry-level positions could hinder career growth.
•The work environment might be fast-paced and stressful, especially during peak hours.

Why Circle K

•Circle K operates a recognizable brand with a strong presence in the convenience store market.
•The company integrates fuel services, offering a unique retail experience compared to typical convenience stores.
•Circle K's focus on customer service sets it apart in the competitive retail sector.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Circle K

Circle K

circlek.com

View company

Circle K is a global chain of convenience stores offering a variety of products including snacks, beverages, and fuel. The company is known for its customer service and convenience.