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Lead Data Scientist

3 months ago

Bengaluru, India Zyoin Group Full time

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