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Lead Data Scientist
3 months ago
Years of Experience: 8 - 11 Years
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.
- Synthesizing findings and insights through effective story telling through visualization tools such as Power BI.
Work Experience
- 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.
- Has mentored or led small teams of 2 to 4 team members.
Key Responsibilities & Deliverables
- Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
- Collating and cleaning data from various entities for later use by junior data scientists.
- Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
- Design experiments, test hypotheses and build models.
- Assess with the business the expected qualification and assurance in support of identified use case.
- Conduct advanced data analysis.
- Apply statistical and predictive modelling techniques to build, maintain and improve real-time decisions.
- Solve analytics problems and communicate results and methodologies.
- Develop approach to validate findings and test hypotheses.
- Validation of analysis using scenario modelling.
- Identifies patterns through algorithms.
- Interpretation of analytical solutions developed and translation of results to the relevant business stakeholders.
- Provide business perspective to the teams working on analytics projects and provide analytics perspective to the respective business teams.
- Effective communication skills to embed results across the function, and articulate how data and analysis creates value for our customers.
- Provides on-going tracking and monitoring of performance of decision systems and statistical models.
Traits / Abilities:
- Communication, Collaboration
- Retail Understanding/ Specialization, Ability to train others
- Ability to lead/ work across 2-3 use cases using agile frameworks
- Stakeholder Management