Quality Consumer Data Scientist

7 days ago

Bengaluru, India Unilever Full time

Role: Quality Data Scientist

Work level: 1C

Location: Bangalore UniOps Centre

About Unilever works to create a better future every day and helps people feel good, look good and get more out of life with brands and services that are good for them and good for others. With 44 brands spanning 14 distinct categories such as fabric solutions, home and hygiene, life essentials, skin cleansing, skincare, hair care, colour cosmetics, oral care, deodorants, tea, coffee, ice cream & frozen desserts, foods and health food drinks, the Company is a part of the everyday life of millions of consumers across India.

Role Overview:
Digital is disrupting the world, it is changing everything about how consumer goods companies, design, source, manufacture and go to market. In a world where consumer centricity is a key factor in business, Quality plays a pivotal role in influencing consumer decisions. At the same time, our value chains are changing rapidly with a need to deliver excellent product quality with increasing speed and efficiency. To continue to deliver best in class product quality, our way to manage data need to transform through development and implementation of new AI driven technologies.

The role of Quality Data Scientist is part of the Digital Quality Capability Team. This role will work with the Quality Analytics and Automation Manager to identify trends and patterns in data, create automatic insights, and develop and implement predictive models that will help Quality team make informed decisions about product and process Quality.

The job responsibilities of a Quality Data Scientist include but are not limited to:
- Collecting, processing and analysing large and complex data sets from multiple sources to identify patterns and insights.- Identifying and understanding business problems, benefits and value, and using statistical and machine learning techniques to find correlations and relationships between different variables.- Developing and implementing automated dashboards and reports to provide regular updates and insights to stakeholders.- Developing and implementing predictive models using statistical and machine learning techniques to help predict product quality based on process parameters.- Collaborating with Uniops and D&A teams to develop and deploy frameworks for predictive analytics.

To succeed in this role you are:
Proficient in statistical and machine learning techniques such as regression analysis, decision trees, clustering, and time series analysis. Have strong programming skills in languages such as Python and R for data processing, analysis, and modelling. Familiar with data visualization tools such as Power BI to create automated dashboards and reports. Experienced in using big data technologies such as SQL databases Have a sound understanding of data cleaning, data wrangling, and data preparation techniques to handle messy and complex data sets. Are confident in presenting, using storytelling skills to explain technical concepts to the general audience. Have a basic understanding of Supply chain and/or the role Quality

Additionally, you will have:
- Problem-solving skills.- Good communication skills- Ability to collaborate with and influence internal stakeholders to achieve objectives.- You are able to organise yourself and others well- Resilient, creative and resourceful when faced with issues or constraints.- Have a Positive, “can do” attitude.- Able to work with ambiguity and detail alike

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