Senior Data Scientist Job Purpose Statement: - Focussed on support for data science and advanced analytics initiatives for sDNA and cDNA within ANZ, e.g. prediction of store potential, store segmentation, assortment optimization, asset deployment, audience profiling, etc.. - The position exists to unlock competitive advantage in go-to-market and execution through cutting edge data science, advanced analytics and AI techniques, with a focus on OT, TT and AfH. The role holder will also leverage industry best practice to help to establish data science and machine learning as a capability within the insight team. - The incumbent will be accountable for managing medium/large sized projects (in scope and/or financial implication) Key Accountabilities : - Working with huge and varied datasets to find sources of strategic advantage in go-to-market and execution, with a focus on Organised Trade, Traditional Trade and Away-From-Home. - Designing and using algorithms and building predictive & prescriptive models needed to automate execution and the generation of insights, to enable efficiencies that allow colleagues to focus on value added tasks. - Developing our internal capability to derive insights from structured data, unstructured data through location intelligence, machine learning, collaborative filtering, etc. to unlock new sources of insight that can be used to drive competitive advantage. - Helping to define the technology infrastructure to enhance our data science capabilities enabling advances in our insight capability. - Acting as an "evangelist" for data science within the DX and ANZ team, building understanding of, and enthusiasm for, what can be achieved. Qualifications, Skills & Experience : - Able to translate complex concepts into clear stories for the business, proven through at least 18 months experience in a business facing data science role - Experience of defining the shape of data science projects from the initial creation of hypotheses through to delivery of results into the business - 'Best in class' data science capabilities, for instance a Master's degree in data science or maths. - 5-8 years of relevant advanced analytics experience in Marketing or Commercial in either Retail, or CPG industries. Other B2C domains can be considered Advanced knowledge of key data science techniques: - Combining data from multiple sources through APIs, Semantic Web, etc. - Data preparation and feature engineering - Supervised / Unsupervised learning - Collaborative Filtering - Location Analytics & Intelligence - High level of proficiency in either R or Python - Must know how to write SQL and extract data from large and small databases - Ability to translate business and technical requirements into non-technical terms - Demonstrated experience in handling large data sets and relational databases - Provide ad-hoc analysis and deliverables as requested - Proficient in Microsoft Excel and PowerPoint with the ability to quickly learn various in-house applications - Detail-oriented with dedication to continuous improvement.

Hyderabad

Senior Data Scientist - FMCG 

Senior Data Scientist - FMCG  ,Job Description for Senior Data Scientist - FMCG  in Recruise India Consulting in  Hyderabad for (9-14) years of experience. Apply Now!

Job Description for Senior Data Scientist - FMCG  in Recruise India Consulting in  Hyderabad for (9-14) years of experience. Apply Now!