As the Data Analytics, you will be responsible to discover the information hidden in TB amounts of data from multiple internal and external sources. You will be responsible to make smarter decisions to deliver even better products.
Your primary focus will be in applying ML / data mining techniques, algorithm, doing statistical analysis, and building high quality prediction systems integrated with the company's products.
What you will do:
- Responsible for driving analysis and models resulting in measurable improvements to the company's bottom line
- Collaborating with colleagues from multidisciplinary science, engineering and business backgrounds
- Working with engineers to put recommendations/proof-of concepts/models into production and monitoring impact
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Extending company's data with third party sources of information when needed
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
- Experience using scientific modeling and analytic methods (such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc.) to solve science and engineering problems; proficiency with a scientific computing or statistical analysis packages and associated scripting languages such as Python, R, Matlab, SAS, etc.
- Demonstrated capability to present research findings and demonstrated proficiency with understanding, specifying and explaining analytic and predictive modeling solutions.
- Desired qualifications include experience working in an agile program management environment and experience with analysis of geospatial data
Pedigree Institutes:
- Required qualifications include an advanced degree (Masters or Ph.D. or equivalent from ) in a discipline such as Physics, Statistics, Applied Mathematics, Robotics, or Computer Science from :
IIM, Delhi School of Economics, IITs (Mumbai, Delhi, Kanpur, Kharagpur, Kolkata, Roorkee), Indian Statistical Institute (ISI), NITs (Trichy, Warangal, Jabalpur, Surathkal), BITS- Pilani, BITs- Mesra, Indra Gandhi Institute of Development Research (IGIDR), Pune University- Statistics, Madras School of Economics (MSE), IISc - Analytics programme, Delhi University- Statistics, MNIIT- Allahabad, Kolkata University- Stats, Maths and Economics, Also tap people who have done a Post Graduate Diploma in Business Analytics by - IIM Calcutta, ISI Kolkata, IIT Kharagpur
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