Details:

We Would Expect You To

• Data Scientist responsibilities include Identify, develop and implement the appropriate statistical techniques, algorithms and data mining analysis to create new, scalable solutions that address business challenges across the organization, as well as provide actionable insights with a clear impact on ROI.
• Define and develop, maintain and evolve data models, tools and capabilities
• Communicate your findings to the appropriate teams through visualisations
• Collaborate and communicate findings to diverse stakeholders
• 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, natural language processing, Object detection/Image recognition
• Create interactive tools using cutting-edge visualization techniques (beyond standard visualization like Tableau, Spotfire, Qlikview etc.)

You'll be a valuable addition to our team if you have :

• Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree he ability to break a complex business problems
• 5 years- experience in a related position, as a data scientist or business analyst building predictive analytics solutions for various types of business problems
• Advanced knowledge of statistical techniques, machine learning algorithms, data mining, text mining
• Programming background and expertise in building models using at least one of the following languages: SAS, Python, R Exposure to Big Data platforms like Hadoop and its eco-system (Hive, Pig, Sqoop, Mahout)
• Bonus points for implementation of Big Data and/or Streaming data analytics or visualization
• Strong individual planning and project management skills, able to juggle multiple tasks and priorities Self-motivated and driven to deliver agreed results on-time
• Strong story-telling & articulation skills - ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience
• Strong influence and relationship management skills; comfortable interacting with all management levels; Prior experience in providing strategic analysis and consulting
• Track record of delivering strong business results. (ref:iimjobs.com)

Desired Skills and Experience

Machine Learning concepts (regression, dimensionality reduction algorithms PCA, T-SNE, SOM etc., classification like decision trees, random forest, boosting, bagging, SVM, Neural Networks etc.) & 

Knowledge on ML packages (scikit-learn, numpy, TensorFlow, caret, e1071), Data Modeling, Data cleansing/wrangling, 

Working knowledge on R/Python, Deep Learning, NLP, Image/Object recognition, data visualization using Tableau/Power BI/R Shiny/D3.js

Min. Qualification:

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Skills Required:

bagging, boosting, d3.js, data cleaning, data modeling, data visualization, decision trees, deep learning, image processing, machine learning, neural network, nlp, numpy + scipy, Object Detection, pca, Power BI, python, r, random forest, regression, sciki