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Hiring for Data Scientist - KPO in Bengaluru/Bangalore, for Exp. 4 - 9 yrs at NovoTree Minds.,Bangal (Bangalore Job)

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Job Description:Data Scientist - KPO (4-10 yrs) Role : Data Scientist Location : Whitefield, Bangalore, India Job Type : Fulltime Description : Data scientist will work closely with partners, principals, consultants and data engineers to build different scales of analytical solutions involving variety of data sources and technology. Responsibilities : - Work on advanced data analysis to provide insights to different types of users - Conduct predictive analysis to create various what-if scenarios to drive organizational planning and marketing strategy - Be the go to person for the data science projects within the organization. - Design, Develop and code scripts - To cleanse, integrate and evaluate large datasets from multiple disparate sources including unstructured data - To embed Machine learning algorithms and automate processes. - Construct predictive ML models, algorithms and probability engines verifies model and algorithm effectiveness based on actual results. - Produces actionable compelling recommendations by interpreting, exploring, identifying and communicating insights discovered within complex data sets. - Mentors junior members of the team about best practises of algorithm design, scripting language and solution documentation. Desired Skills Experience : - Graduates Engineering, Operation Research, Mathematics, Statistics, Marketing preferred - Strongworking experienceon developing predictive machine learning models i.e. Classification and Regularized Regression and/orSegmentation/Clusteringis a must. - Exposure and thorough theoretical and practical understanding of at least one Machine Learning technique such as Logistic Regression, Random Forest, Gradient Boosting Machines (GBM/XGB), Neural Networks, SVMs. - Strong coding skillsin R/Python must and other open source softwares such Pig, hive, Mahout, etc. preferred. - Exposure on Discrete Choice Modeling, Design of experiment, associative mining, latent class modeling, Time Series forecasting is added advantage. - Ability to learn and continuously adapt to everchanging space of ML algorithms and technologies and apply in practical business problems. - Ability to independently drive innovative programs work in an agile mode. - Ability to consult as a subject matter expert on complex client projects. Complimentary Skills : Candidate should fulfill the - Key Skills- criteria first. - Experience in consumer and brand analytics, campaign analysis, concept testing of products, competitor analysis, promotion analysis, etc. - Exposure with consumer survey questionnaire designs and/or data structure (if using syndicated data) is desirable - Exposure to product assortment planning, consumer choice models, KANO, Shapley and Turf(Total Unduplicated Reach frequency) is added advantage


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Posted on: Saturday, 10 November, 2018  09:46
Expires On: Sunday, 03 April, 2022  18:30

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