Opening For Agm/ Sr Manager Head Data…

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Infosource Consulting Pvt. Ltd. No 5 / 1, 5th Main, 10th Cross, Vasanthappa Block, Ganganagar, Bangalore - 560032., India
Job Detail
  • Industry:
    IT - Software
  • Total Positions:
  • Job Type:
    Full Time
  • Salary:
  • Job Location:
    HYDERABAD, India
  • Minimum Education:
  • Minimum Experience:
    10+ Years
  • Apply By:
    Nov 23, 2018
  • Job Posting Date:
    Jul 23, 2018
Job Description

Define best practice and thought leadership around data science & advanced analytics
Apply knowledge and expertise in quantitative analysis, predictive /prescriptive modelling and data mining to enhance business operations
Work with the IT / Technology and Sales & Marketing team, along with the broader Analytics team to deliver cutting edge solutions to solve business problems
Design, run, and analyse A/B and multivariate hypothesis tests aimed at optimizing customer experience, business KPIs and product funnels
Analyse experimental data with statistical rigor, ensure accurate interpretation by combining business acumen with detailed data knowledge and statistical expertise
Drive business decisions using data - turn data into insights and help to surface relevant and personalized content.
Leverage advanced Big Data Analytics to do consumer analytics, sentiment analysis over a long period of time wrt various dimensions. Big Data platform to analyze customer data from Web, Social and Mobile APP
Ability to identify variables that could raise risk beforehand and use the variable to create a prediction model for risks
Provide solutions but not limited to Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization etc.
Lead and groom the data scientist pool on solving complex problems using data science

Desired Candidate Profile
Candidate should have hands on experience in creating at least 2-3 risk models and tested the efficacy of the modeling output.
Knowledge of Statistics is a must. PHD on data science is an advantage (not mandatory)
Strong SQL skills, including query optimization, schema design, complex analytics
Exceptional problem solving and analytical skills
Knowledge of database modeling and design in a Data warehousing context
Expert-level proficiency in at least one of R and Python
Expert-level proficiency and thorough understanding of at least one of the upcoming technologies like deep learning (DL), natural language processing (NLP), reinforcement learning (RL), Bayesian methods etc.
Expert-level proficiency in statistical / ML predictive techniques such as regression/classification, clustering, dimensionality reduction, forecasting, optimization etc.
Working experience and statistical clarity in traditional algorithms like linear models, time series models, dimensionality reduction techniques, tree-based learners (Random Forests etc.), kernel based learners (Support Vector Machines etc.), Linear/Dynamic programming, Bagging/Boosting, ensembles etc.
Working Knowledge and familiarity with the big data stack - Hadoop, hive, spark, map reduce and other big data tools and technologies

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