Job
Description
As a Data Scientist/Senior Data Scientist at Circle K India Data & Analytics team, you will play a crucial role in delivering advanced analytics projects that drive business results. Your responsibilities will include analyzing large-scale structured and unstructured data, developing deep-dive analyses, and building machine learning models in retail, marketing, merchandising, and other areas of the business. You will also be utilizing data mining, statistical and machine learning techniques to derive business value from various types of data. Additionally, you will be applying multiple algorithms or architectures to recommend the best model for data-driven business decisions. Key Responsibilities: - Analyze large-scale structured and unstructured data to develop deep-dive analyses and machine learning models - Utilize data mining, statistical, and machine learning techniques to derive business value from various types of data - Apply multiple algorithms or architectures to recommend the best model for data-driven business decisions - Utilize cloud setup for statistical modeling and big data analysis, and visualization tools for representing large sets of data You will also be responsible for following industry standards in coding solutions, structuring hypotheses, building thoughtful analyses, and partnering with Data Engineering to maintain core data infrastructure. Additionally, you will be working collaboratively with multiple stakeholders to deliver project deliverables and articulate complex data science models to business teams. Qualifications Required: - Bachelors degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) - Masters degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) - 3-4 years of relevant working experience in a data science/advanced analytics role Behavioral Skills Required: - Delivery Excellence - Business disposition - Social intelligence - Innovation and agility Knowledge Required: - Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.) - Statistical modeling 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 - 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.) As a Data Scientist/Senior Data Scientist at Circle K India Data & Analytics team, you will play a crucial role in delivering advanced analytics projects that drive business results. Your responsibilities will include analyzing large-scale structured and unstructured data, developing deep-dive analyses, and building machine learning models in retail, marketing, merchandising, and other areas of the business. You will also be utilizing data mining, statistical and machine learning techniques to derive business value from various types of data. Additionally, you will be applying multiple algorithms or architectures to recommend the best model for data-driven business decisions. Key Responsibilities: - Analyze large-scale structured and unstructured data to develop deep-dive analyses and machine learning models - Utilize data mining, statistical, and machine learning techniques to derive business value from various types of data - Apply multiple algorithms or architectures to recommend the best model for data-driven business decisions - Utilize cloud setup for statistical modeling and big data analysis, and visualization tools for representing large sets of data You will also be responsible for following industry standards in coding solutions, structuring hypotheses, building thoughtful analyses, and partnering with Data Engineering to maintain core data infrastructure. Additionally, you will be working collaboratively with multiple stakeholders to deliver project deliverables and articulate complex data science models to business teams. Qualifications Required: - Bachelors degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) - Masters degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) - 3-4 years of relevant working experience in a data science/advanced analytics role Behavioral Skills Required: - Delivery Excellence - Business disposition - Social intelligence - Innovation and agility Knowledge Required: - Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analyti
