Retail domain experience is mandatory
Mandatory skills: Data mining, Machine learning(regression and classification), prediction algorithms , data visualization, Data analysis, Big Query.
Job Description:
• Minimum 6-8+ years of relevant experience in data scientist role in Retail domain is a must
• Expertise in data analysis & modeling around retail problem statements ranging from inventory shrinkage, -ve inventory etc.
• Strong hands on development skills on Python or similar programing language.
• Strong understanding on machine learning algorithms and statical modeling.
• Experience in data visualization tools.
• Familiarity with cloud platform- GCP.
• Excellent problem solving and critical thinking skills
• Strong communication and presentation skills.
Responsibilities:
• Data Collection and cleaning : collect data from various sources/systems and clean for analysis.
• EDA ( exploratory data analysis) understand data patterns and analysis.
• Modelling : design , build predictive models and machine learning algorithm to solve business problem. Validate and fine tune models to ensure scalability .
• Visualization and Communication : create dashboard and visualization to communicate insights effectively.
• Coloration and Strategy : work closely with cross functional team included data engineers, product managers and business team.
• Understand the business objective and align data science solution accordingly
• Provide strategic recommendations.