Data Scientist - Enterprise Functions
Core
Deliver advanced analytics projects and machine learning models to drive business results in retail, marketing, merchandising, and operations.
Role type
Data Scientist
Builds
Production ML models, statistical analyses, and automated dashboards for store, product, and customer transactional data.
Domain
Retail and Convenience Store Industry
Deliverable
production ML models | dashboards & analysis
Required skills
Statistical modelling, machine learning, data mining, hypothesis testing, causal inference, feature engineering, model evaluation, MLOps practices, Python programming, big data technologies, database management, business intelligence tools
Preferred skills
Master's degree in quantitative field, experience in supply chain or marketing analytics, knowledge of experimental design
Technologies
Python, R, KNIME, AWS, Azure, GCP, Hadoop, Spark, MySQL, Microsoft SQL Server, MongoDB, DynamoDB, Power BI, Tableau, Alteryx, MLflow, DVC, Docker, PyTorch, TensorFlow, Scikit-learn, Pandas
Responsibilities
Analyse large-scale structured and unstructured data to develop deep-dive analyses and ML models; Utilize data mining and statistical techniques to derive business value from transactional data; Apply algorithms to recommend best models for data-driven decisions; Partner with Data Engineering to build and maintain core data infrastructure and pipelines; Articulate complex data science models to business teams and present insights in innovative formats
Seniority
Mid-level IC (3-4 years experience)
