Experience: 8 to 11 Yrs
- Design & lead the development & deployment of solutions that leverage data sciences & 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 & staying up to date. Develop and recommend process standards & best practices in ML. Build relevant new capabilities in advanced
Technical Skills Required:
- Advanced understanding of statistics is a must - at least 8 yrs 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 story telling through visualization tools such as Power BI
Roles & Responsibilities
- Strong experience in exploratory data analyses, ML experiment design, statistical testing and frameworks
- Proven experience of 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 E-commerce domain is preferable
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