Data Science Asst Manager

  • Company:
    Hindustan Unilever Ltd
  • Location:
  • Salary:
    negotiable / month
  • Job type:
  • Posted:
    1 month ago
  • Category:
    Consumer Durables/FMCG | Manufacturing/Industrial

Skill: visualization , advanced analytics , data analytics , artificial neural networks , predictive modeling , data mining , data science , data scientist , text mining , data analysis , sas , big data analytics , written communication; Exp: 0-3 years; Data Science Asst Manager ( Job Number 18000GFQ ) Location India-Karnataka-Bangalore-Unilever R&D Bangalore Job Field Research/Development Posting Date Nov-14-2018 End Date Jan-01-2019 Job Type Regular Shift Day Job Job Schedule Full-time Description No matter who you are, or where in the world you are, the chances are that our products are a familiar part of your daily routine. Every day, around the world, people reach for Unilever products. Our brands are trusted everywhere and, by listening to the people who buy them, we’ve grown into one of the world’s most successful consumer goods companies. In fact, 150 million times a day, someone somewhere chooses a Unilever product. Look in your fridge, or on the bathroom shelf, and youre bound to see one of our well-known brands. We create, market and distribute the products that people choose to feed their families and keep themselves and their homes clean and fresh. Job Title Asst Manager Data Science Location Bangalore Department Modelling & Analytics Data Science (Digital R&D) Reports To Modelling & Analytics, Senior Manager, Bangalore Unilever is a leading multi-national Fast Moving Consumer Goods company, with world leading brands such as Lipton, Dove, Axe, Omo, Knorr, and Hellmans. Unilever has extensive R&D facilities around the globe with a mission to build brands through world-class innovation by unlocking science and technology. To meet the sustainable business growth challenge of the next decade, Unilever R&D aims to transform its approach to scientific discovery and product development, through a Digital Transformation program. The Digital R&D team is leading this transformation of R&D through programs in Big Data Analytics, Predictive modeling and Product Life Cycle Management with a view to driving speed, efficiency and connectivity of R&D. The Modelling & Data Analytics team in Digital R&D, provides leading edge statistics, data science, data management, modelling and simulation expertise to deliver predictive models and advanced analytics for new insights to the category programs across all R&D functions. The focus of the Data Science team is in the design and planning of experiments, analyses of data, building and validating predictive models and interpretation and exploitation of outcomes together with the project team. The products and brands we support are across Unilevers categories in Foods & Refreshment, Home Care and Beauty & Personal Care. We are looking for a Data Scientist who will support our Product Innovation and Science & Technology teams in R&D with insights gained from analyzing data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong background in statistical modelling, experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Job Responsibilities Engagement and collaboration with globally deployed, multi-disciplinary teams to design and implement efficient, well-focused, statistically fit-for-purpose studies, analyse, visualize and interpret data, build and validate predictive models and simulations Work in inter- disciplinary teams that will include product formulators, process/packaging engineers, clinicians, measurement scientists, bio-informaticians, claim experts, and other data scientists, both internal to Unilever and external partners. Provision of data science/statistics expertise across a range of R&D disciplines to define and execute analytics and modelling approaches (eg trained panel and consumer studies, investigating key attributes and product preferences, assessment of product manufacturing processes to product quality) Develop custom data models and algorithms to apply to relevant data sets. Responsibility for the quality and defensibility of statistical analyses, models and data interpretation. Coordinate with different functional teams to implement models and monitor outcomes Requirements The candidate should have a Masters Degree or equivalent experience in Statistics, Mathematics or Data Science/Computer Science. Experience in FMCG/Retail/Pharmaceutical industries is a plus. Technical Skills Technical depth, operational breadth and demonstrated fluency in applying statistics/data analytics in scientific research. Hands-on technical expertise in data management and visualization Strong technical background in multivariate statistical methods e.g. PCA, PLS and machine learning methods, and text mining algorithms. Familiar with NLP tasks and techniques such as parsing, NER, entity linking, information retrieval methods Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Working knowledge in Design and Analysis of Experiments (DOE) Hands-on experience with professional statistical software such as SAS, R and Python. Familiarity With Azure Platform, KIME and excellent coding skills will be considered a plus. Knowledge of product development processes including packaging and manufacturing Soft Skills Strong problem-solving skills with focus on business delivery Strong interpersonal skills; strong oral and written communication skills. Ability to collaborate and consult effectively in global teams across time-zones and cultures A drive to learn and master new technologies and techniques Ability to work with uncertainty and to create and manage change

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Experience: 0-3

Function: IT Software : Software Products & Services