Career
Thanks for your interest in Quantta!
At Quantta Analytics, we believe that creating path-breaking solutions that add value to our clients is an outcome of technical excellence and clear communication and so we hire only the best to ensure a superior client experience.
AVAILABLE POSITION
BigData/Data Science Engineer
Job Description
Your role is to help build a scalable analytics platform to perform real-time data analytics to predict customer behaviour. This will involve a deep understanding of consumer behaviour, psychology, and the latest Open Source tools that can be put to work on structured and unstructured data to understand and predict behaviour. Ideally you should have worked in domains like customer segmentation, customer propensity, customer communication.
Reports To
Head Product Development
Expected Outcome
- To build algorithms that can identify and target individual level customers
- To build algorithms that can increase the Return on Investment for Marketing Dollars
- To build algorithms that can increase the conversion across multiple channels.
Skills Required
- Deep understanding of technology and major trends including Hadoop, Python, R
- Experience with Apache NiFi, Pandas is a plus
- Understanding of data mining technologies, like clustering, graph analysis, regressions and statistical analysis
- Understanding of customer behaviour
- Knowledge of working with, managing, cleaning, organizing large data sets
- Understanding of Business, Business needs and identification and solving of unique business problems
- Strong inter-personal skills and the ability to manage a high-energy, growth oriented work environment
Experience
- Proven track record in building applications on R, Python to solve complex business problems
- Worked with large data sets
- Worked with global business problems and data sets in both structured and unstructured data
Education
- PHD from IIT or Masters Degree from ISI
Competencies
- Analytics, R, Hadoop, Map Reduce, Spark, Big Data, Data Cleaning,H2O/MLLIB, Data Scraping, Postgres or equivalent.
Challenges
- Build and Implement the world’s largest data platform
- Strategize and ideate the product road map including technology stacks, cutting edge big data solutions, customer facing solutions
- Scale the product to fulfil the needs and aspirations of a Billion people
- Bring speed of development in a multi-cultural environment
Why Us
- A unique opportunity to be part of a company that will change the way people transact
- Work with some of the smartest minds drawn from a global arena
- Share in the value creation
- Work in a non-hierarchical, merit based environment
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