Details:

The ideal candidate is adept at using large data sets to find opportunities for product and process
optimization and using models to test the effectiveness of different courses of action. They must have
strong experience using a variety of data mining/data analysis methods, using a variety of data tools,
building and implementing models, using/creating algorithms and creating/running simulations. They must
have a proven ability to drive business results with their data-based insights. They must be comfortable
working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business
outcomes. He should be someone who will help us discover the information hidden in vast
amounts of data, and help us make smarter decisions to deliver even better products. Your
primary focus will be in applying data mining techniques, doing statistical analysis, and building
high quality prediction systems integrated with our products. Looking for people with skills on
automate scoring using machine learning techniques”, “build recommendation systems”,
“improve and extend the features used by our existing classifier”, “develop internal A/B testing
procedures”, “build system for automated fraud detection”, etc.

 

Responsibilities
● 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
● Enhancing data collection procedures to include information that is relevant for
building analytic systems
● 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
● Become a domain and product expert

Skills and Qualifications

● Masters or Phd preferred with Strong problem solving skills with an emphasis on
product development.
● Excellent understanding of domains like US Real Estate, US Automotive, US
healthcare, India Insurance Domain
● Excellent understanding of machine learning techniques and algorithms, such as k-
NN, Naive Bayes, SVM, Decision Forests, etc.
● Experience with common data science toolkits, such as R, Weka, NumPy, MatLab,
etc
● Great communication skills
● Experience with data visualisation tools, such as D3.js, GGplot, etc.
● Proficiency in using query languages such as SQL, Hive, Pig
● Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
● Good applied statistics skills, such as distributions, statistical testing, regression,
etc.
● Good scripting and programming skills in R, Python, Spark etc.
● Data-oriented personality
● Knowledge and experience in statistical and data mining techniques:
GLM/Regression, Random Forest, Boosting, Trees, text mining, social network
analysis, etc.
● Experience visualizing/presenting data for stakeholders using: Periscope, Business
Objects, D3, ggplot, etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree
learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties
of distributions, statistical tests and proper usage, etc.) and experience with
applications.
● Excellent written and verbal communication skills for coordinating across teams.
● A drive to learn and master new technologies and techniques.

Min. Qualification:

pg

Skills Required:

hive, matlab, naive bayes, numpy + scipy, pig