Qureos Mentor

Circle K

<div>Job Description
Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, ACT&rsquo;s retail network includes ~16,700 convenience stores, and has footprint across 31 countries and territories primarily under the Circle K brand. The India Fuels &amp; Logistics Global Capability Centre (F&amp;L GCC) is an integral part of ACT&rsquo;s Global Fuels &amp; Logistics Team, and the Fuel Distribution Planner will be a key player on this team that will help oversee the stock movements across the supply chain network and grow F&amp;L globally at ACT.
The hired candidate will partner with multiple departments, including Global Technology, Business Units and Support functions.
About the role
The incumbent will be responsible for maintaining optimal stock cover at each location, ensuring minimum distribution costs, liaising with internal stakeholders across the supply chain lifecycle, to execute necessary changes &amp; communicate effectively to internal key stakeholders and support business needs. Additionally, the incumbent will have to be flexible to work in shifts. 
Roles &amp; Responsibilities
Fuel Distribution Planning<ul><li>
Ensure precise, cost-effective fuel supply planning and lowest unit cost delivered for the trucks planned.</li><li>
Planning indicator summarization, analyses, and reporting.</li><li>
Fulfil operational goals and objectives to achieve optimal fleet planning metrics (HSE, Load size, drop size, productivity, P&amp;L (in house) etc)</li><li>
Liaise with Supply or sourcing, operations, BU fuel team and execute on actions to always ensure efficient value chain.</li><li>
Handle calls and address operational issues during shift.</li><li>
Liaison with other units in the company to gain planning improvements.</li><li>
Support improvement projects or new systems implementations as needed.</li><li>
Pro-active approach to suggest solutions to customer complaints.</li></ul>
Operational Excellence<ul><li>
Monitor activities within fuel stations to ensure sufficient inventory levels.</li><li>
Ensure ownership of HSSE targets &amp; compliance within distribution together with operations managers</li><li>
Ensuring efficient fleet planning performance metrics (Drop size, load size, productivity etc.)</li></ul>
Stakeholder Management<ul><li>
Proactively recommend multiple approaches along with their pros &amp; cons to the business stakeholders and support making the right decisions</li><li>
Collaborate closely with colleagues inside and outside Global Fuels and Circle K, to drive business results</li></ul>
*24*7 Operations, shift work is required to cover at all times of the operations. 
Education<ul><li>
Bachelor&rsquo;s degree or equivalent</li><li>
Strong mathematical and analytics skills evident in education.</li></ul>
Relevant Experience<ul><li>
2-4 years minimum relevant experience from logistics and operations planning.</li><li>
Fluency in English, both written and oral</li></ul>
Behavioural Skills<ul><li>
Strong analytical thinking and problem-solving approach as well as detail-oriented personality.</li><li>
Innovation and agility</li><li>
Hands-on &amp; reliable with attention to details</li><li>
Global mindset capable of working with multi-cultures</li></ul>
Technical Skills<ul><li>
Demand Planning</li><li>
Distribution Planning</li><li>
Fleet Management</li></ul>
Knowledge<ul><li>
Good computer (MS excel/MS Office Suite), mathematics, and analysis skills.</li></ul>
#LI-DS1</div>

Distribution Planner

<div>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 &amp; Analytics team is an integral part of ACT&rsquo;s Global Data &amp; 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 &amp; Responsibilities
Analytics &amp; Strategy<ul><li>
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</li><li>
Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data</li><li>
Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions</li><li>
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</li></ul>
Operational Excellence<ul><li>
Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project</li><li>
Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems</li><li>
Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses.</li></ul>
Stakeholder Engagement<ul><li>
Working collaboratively across multiple sets of stakeholders &ndash; Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables</li><li>
Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats</li></ul>
Job Requirements
Education<ul><li>
Bachelor&rsquo;s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)</li><li>
Master&rsquo;s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)</li></ul>
Relevant Experience<ul><li>
3 - 4 years for Data Scientist</li><li>
Relevant working experience in a data science/advanced analytics role</li></ul>
Behavioural Skills<ul><li>
Delivery Excellence</li><li>
Business disposition</li><li>
Social intelligence</li><li>
Innovation and agility</li></ul>
Knowledge<div><ul><li>
Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)</li><li>
Statistical modelling using Analytical tools (R, Python, KNIME, etc.)</li><li>
Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)</li><li>
Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.</li><li>
Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)</li><li>
Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)</li><li>
Big data technologies &amp; framework (AWS, Azure, GCP, Hadoop, Spark, etc.)</li><li>
Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools
</li><li>Business intelligence &amp; reporting (Power BI, Tableau, Alteryx, etc.)</li><li>
Microsoft Office applications (MS Excel, etc.)</li></ul>
#LI-DS1</div></div>

Data Scientist - REFM

<div>
 
 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 &amp; Analytics team is an integral part of ACT&rsquo;s Global Data &amp; 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 &amp; Responsibilities
 
 
 
 
 
 
 Analytics &amp; Strategy
 
 
 
 
 <ul>
 <li>
 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
 </li>
 <li>
 Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data
 </li>
 <li>
 Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions
 </li>
 <li>
 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
 
 
 </li>
 </ul>
 
 
 Operational Excellence
 
 
 
 
 <ul>
 <li>
 Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project
 </li>
 <li>
 Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems
 </li>
 <li>
 Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses.
 
 
 </li>
 </ul>
 
 
 Stakeholder Engagement
 
 
 
 
 <ul>
 <li>
 Working collaboratively across multiple sets of stakeholders &ndash; Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables
 </li>
 <li>
 Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats
 
 
 </li>
 </ul>
 
 
 Job Requirements
 
 
 
 
 
 
 Education
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
 </li>
 <li>
 Master&rsquo;s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)
 
 
 </li>
 </ul>
 
 
 Relevant Experience
 
 
 
 
 <ul>
 <li>
 3 - 4 years for Data Scientist
 </li>
 <li>
 Relevant working experience in a data science/advanced analytics role
 
 
 </li>
 </ul>
 
 
 Behavioural Skills
 
 
 
 
 <ul>
 <li>
 Delivery Excellence
 </li>
 <li>
 Business disposition
 </li>
 <li>
 Social intelligence
 </li>
 <li>
 Innovation and agility
 
 
 </li>
 </ul>
 
 
 Knowledge
 
 
 
 
 <ul>
 <li>
 Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)
 </li>
 <li>
 Statistical modelling using Analytical tools (R, Python, KNIME, etc.)
 </li>
 <li>
 Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)
 </li>
 <li>
 Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.
 </li>
 <li>
 Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)
 </li>
 <li>
 Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)
 </li>
 <li>
 Big data technologies &amp; framework (AWS, Azure, GCP, Hadoop, Spark, etc.)
 </li>
 <li>
 Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools
 </li>
 <li>
 Business intelligence &amp; reporting (Power BI, Tableau, Alteryx, etc.)
 </li>
 <li>
 Microsoft Office applications (MS Excel, etc.)
 
 
 </li>
 </ul>
</div>

Join Circle K and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Circle K

ABOUT_COMPANY

Distribution Planner

Data Scientist - REFM

Data Scientist - REFM