R&d Data Scientist - Bengaluru, India - Unilever

Unilever

Verified Company

Bengaluru, India

1 week ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

ABOUT UNILEVER:
Be part of the world's most successful, purpose-led business.

Work with brands that are well-loved around the world, that strive to improve the lives of our consumers and the communities around us every day.

Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life - giving us a unique opportunity to build a brighter future.

We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good.

Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best.

We are looking to hire a R&D Data Scientist / Statistician - Personal Care in our Personal Care Science & Technology team based in Mumbai / Bangalore:

JOB PURPOSE

The PC R&D Data Scientist will play a key and varied role in the design and planning of experiments, analyses of data, building and validating predictive data models and interpretation and exploitation of analysis outcomes, to help drive the Personal Care Innovation and Science & Technology programmes.

RESPONSIBILITIES- Working together with the PC R&D Modelling & Informatics Manager, to build a priority modelling programme to support PC Innovation and Science & Technology through the: design and planning of experiments, analyses of data, building and validating predictive models and interpretation and exploitation of analysis outcomes.- Provision of statistics, machine learning and data science expertise across a range of PC R&D disciplines to both deliver modelling programme and build skills and capability in PC teams.- Engagement and collaboration with global multi-disciplinary teams including both internal and external partners.- Responsibility for the quality and defensibility of statistical analyses, models and data interpretation.- Engagement in continuous learning initiatives to keep abreast of state of the art analytical, statistical and machine learning methods.

ALL ABOUT YOU- Hands-on technical expertise in data visualization - understanding patterns in data.- Strong technical background in multivariate statistical methods.- Hands-on experience with professional statistical/modelling software such as SAS, Python, R, MATLAB and JMP.- Strong interpersonal skills, oral and written communication skills; the ability to frame a problem.- Ability to collaborate and consult effectively in global teams across time-zones and cultures.