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Founder at Talentiser
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Head - Analytics - eCommerce (8-15 yrs)
Head - Analytics is a leadership position and responsible for the creation of new and cutting-edge data sciences capabilities for the business by envisioning and executing strategies that will influence improvement of business's performance by enabling informed decision making.
Job Responsibilities :
- Embark on opportunity to set-up a state of the art, Data Science and Analytics division to support business needs
- Responsible for creation of new data sciences capabilities for the business by envisioning and executing strategies that will influence improvement of the business's performance by enabling informed decision making.
- Responsible to shape the company's future towards a data-driven organization.
- Must be able to quickly grasp what is required and prioritize, assign, communicate, oversee, guide, assess and report progress across multiple projects
- Comes with proven track of delivering high quality projects on time and on budgets.
- Proactive working and cross-functional collaboration with various functional leads across the business/ geographies to provide advanced, cutting-edge data science and analytics modeling.
- Must demonstrate Macro and Micro level skills and have both strategic and operational understanding of data science, with solid business instincts and judgement.
- Ability to translate business questions into analytical problems and build solutions using visualization techniques, machine learning, statistical modeling and ensure it is robust, scalable solution is developed
- Incumbent will strengthen the business score card for the better decision making for internal as well as external niche clients in global markets.
- Familiarity with core elements of data science (regression, statistical analysis, machine learning/AI) along with sound business judgement to effectively bridge the gap between decision analytics and business needs
- Incumbent must have Operational understanding includes classical regression, statistical methods like factor analysis, Clustering and hypothesis testing, modern machine learning methods
- Strong leadership experience to build and nurture a strong team of data scientists / analysts
- Capacity to synthesize the work of the team in summary presentations that can be communicated easily to senior management and clients.
- Knowledge & experience in VBA, R, SAAS, Python, Data Mining, Deep Learning, AI, Machine Learning will be considered
This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.
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