Skill: cpg , advanced analytics , ms office suite , data mining , business analyst , sql , requirement gathering , data science , data scientist , design thinking , business analytics; Exp: 4-6 years; Unilever is looking to disrupt status quo using data, data science and Machine Learning in a transformative way. Information and Analytics team leads this transformation by building data, data science and analytics as a core capability. The team delivers agile innovation, advanced analytics products (at scale) and work closely with the market teams to ensure that every decision in Unilever is augmented with insight & next best action recommendations The I&A In-Market team is composed of business analysts, data scientists, and data experts who can quickly understand the business context problem, apply advanced mathematics and/or statistics to large data sets; and operate in cloud-based environments. This is an exciting role for an experienced hands-on data scientist who likes working in the front line of business to re-imagine the future of enterprise. Main purpose of job Works with the business analyst to fully understand the business problem and how to deliver relevant insights that lead to actions. Gathers, analyses, and models data to solve complex business problems and evaluate scenarios to make predictions on potential future outcomes. Fast paced agile experimentation across a range of business areas (Sales, Marketing, P&L etc). Build analytic models and iterate to help demonstrate the business case to scale the solution. Incorporate design thinking elements in building and developing solutions Act as the go to expert on building diagnostic and predictive models through classical modelling and Machine Learning. Able to scale and industrialize the solution on cloud-based platforms Key accountabilities Build data-science and algorithmic solutions to address business problems requiring diagnostic, predictive, and / or prescriptive analytics Drive new value from insights from connecting external (Retailer, Econometric, Panel etc) and internal data sources Innovate new data and analytic methodologies driven by local needs which feed into I&As global product pipeline The position will be primarily an individual contributor role working closely with the business interpreter and CCBT, CD, Supply Chain and other market teams. There would be a small team (1-4) reporting into this role, and there may be third party contractors this role will oversee. Guide team on continuous improvement which will includes improved ways of working simplification and standardization Experience and qualifications required Strong track record in solving analytical problems using quantitative and statistical approaches Expert knowledge in Regression, Clustering, Random Forrest, Decision Trees, Optimization, Time Series, Probability, and other related advanced methodologies. Experience in applying Neural Networks would be a plus Experience in designing and industrializing Analytical solutions Expert knowledge of an analytics tool such as R, Python & Spark Experience in communicating with clients and requirement gathering Ability to manipulate and analyse complex, high-volume, high-dimensionality data from varying sources (Nielsen, SAP, Retailer ePOS; both structured and non-structured data) Expert in working with cloud-based platforms like Azure, AWS and big data knowledge Education B.E. / MTech or M.S. in a relevant technical field (Operations Research, Computer Science, Statistics, Business Analytics, Econometrics, or Mathematics). Experience of 4-6 years preferred. Desirable Prior experience in Retail, Consumer Goods (CPG), eCommerce would be a plus Other skills (these can be taken from other functional academies) Excellent communication, active listening and presentation skills and ability to communicate effectively with all levels in the organisation Passion for delivering service excellence; and developing a culture of easy to do business with, where customers needs are anticipated Highly analytical mind-set with strong ability to identify, troubleshoot, problem solve and resolve issues. Passion for simplification and continuous improvement Strong interpersonal skills with the ability to collaborate with team members to understand and develop technology solutions for business needs Organised, strong time management skills and ability to prioritise multiple tasks in order to meet established deadlines Team-player who is a proactive self-starter, with the ability to work independently Strong ethical standards regarding the handling of confidential personal information Ability to work quickly and accurately, especially under pressure; and within a cross-culture and global environment Ability to work with a broad, virtual team Proficiency in MS Office Suite and SQL desirable. Analytically minded with good numerical ability and logical reasoning Proficient in using R, Python or any other data mining tools. Knowledge and experience in Hadoop (map reduce paradigm) etc.
Degree: ME/ M.Tech./ MS (Engg/ Sciences)
Function: IT Software : Software Products & Services