
Senior Executive
3 days ago
Location : Vikhroli, Mumbai
Role Summary –
As a data scientist, you will be a part of the analytics team that develops data driven insights across cross functional teams across all GCPL’s countries to drive efficiency and make strategic business decisions. You will research, design and implement cutting edge algorithms to analyse diverse sources of data to achieve the target outcomes
About Godrej Consumer Products
Godrej Consumer Products is a part of the over 125-year-young Godrej Group. We are fortunate to have a proud legacy built on the strong values of trust, integrity, and respect for others. As an emerging market company, we have witnessed rapid growth and are pursuing our exciting and innovative aspirations.
Today, our Group enjoys the patronage of 1.15 billion consumers globally, across different businesses. In line with our 3 by 3 approach to international expansion, we are building our presence in three emerging markets, namely Asia, Africa, and Latin America, across three categories (home care, personal care, and hair care).
We rank among the largest household insecticide and hair care players in the emerging markets. In household insecticides, we are the leader in India and Indonesia and are expanding our footprint in Africa. We are the leader in serving the hair care needs of women of African descent and are the number one player in hair colour products in India and sub-Saharan Africa, and among the leading players in Latin America. We rank second in soap products in India, first in air freshener products in India and Indonesia, and lead in wet tissue products in Indonesia.
For us, it is very important that besides our strong financial performance and innovative, much-loved products, we remain a good company. Approximately 23 per cent of the promoter holding in the Godrej Group is held in trusts that invest in the environment, health, and education. We are also bringing together our passion and purpose to make a difference through our Good & Green approach to build a more inclusive and greener India.
At the heart of it all is our talented team. We take much pride in fostering an inspiring workplace with an agile and high-performing culture. We are also deeply committed to recognising and valuing diversity across our teams.
Our People Philosophy
Core to our employer brand, is the philosophy of tough love. We expect a lot from our team members, differentiate on the basis of performance and potential through career opportunities and rewards and lay particular emphasis on developing, mentoring and training. We believe that passionate, rounded individuals with diverse interests make for better Godrejites. And we understand that our team members play multi-faceted roles. This is why we encourage them, not just to explore their whole selves, but also create an enabling space for them to do so.
Your Roles & Responsibilities
Define, breakdown and solve the business problems across business functions while leveraging conventional & new age data sources, and a wide array of techniques to make predictions on potential future outcomes and support decision making
Apply advanced statistical and predictive modelling techniques to build, maintain and improve on multiple decision systems and processes
Partner and engage with business & transformation leads and teams across key functions such as marketing, supply chain, sales, finance and manufacturing to identify, evolve and fully understand the key business questions and deliver relevant insights that lead to actions.
Work autonomously in a fast paced environment
Qualification & Experience
B.Tech or Bachelor’s degree in mathematics, statistics or computer science or related quantitative field from tier 1/2 institutes
2-4 years’ experience in analytics and data science
Skills Required
Hands on experience in R or Python
Good knowledge on Exploratory Data Analysis (EDA)
Familiarity with advanced statistical and predictive modelling techniques such as regression, time series, decision trees etc.
Strong problem-solving skills – able to find various ways to solve problems and decide which solution to move forward
Stakeholders
Internal – Functional teams across geographies
External – Data and Analytics service providers, Cloud service providers
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