Posted on: 10/09/2025
Responsibilities :
- Design and lead the development and deployment of solutions that leverage data sciences and advanced analytics to drive incremental value for a retail business.
- Be responsible for working on multiple use cases at the same time.
- Analyse and model structured data using advanced statistical methods and implement algorithms and software needed to perform analysis.
- Manage the continuous improvement of data science / ML by following industry trends and staying up to date.
- Develop and recommend process standards and best practices in ML.
- Build relevant new capabilities in advanced.
Requirements :
- Experience : 8 to 11 years.
- Strong experience in exploratory data analysis, ML experiment design, statistical testing, and frameworks.
- Proven experience in designing and scaling up data science solutions.
- Experience working in scrum teams with Agile tools like JIRA.
- Strong verbal and written communication skills.
- Ability to explain complex concepts and technical material to non-technical users.
- Retail or Ecommerce domain is preferable.
- Has mentored or led small teams of 2 to 4 team members.
Technical skills required :
- Advanced understanding of statistics is a must - at least 8 years of hands-on experience in solving data science problems.
- Should have worked extensively in any of the following : multiple linear regression/ logistic regression/ clustering/ random forests/ forecasting/mathematical optimization.
- Expertise in tools required to execute a data science project - SQL, Python, ML algorithms.
- Expertise in using Cloud solutions(AWS, Azure, etc. ) for deploying data science projects.
- Synthesizing findings and insights through effective storytelling through visualization tools such as Power BI.
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