Data Scientist/Analyst

About the company:
TRUCE has been founded with a vision to ensure a smooth and co-ordinated flow of commodities from the most efficient and abundant sources to the demand zones in India. In addition, TRUCE is also eliminating the information discrepancy around pricing and helping in identifying the 'True Price' for the seller as well as the buyer.

Website: www.truce.in

Job location: Mumbai

Desired Experience: 0.5-3 Year

Target Batch Passout: 2012/2013/2014/2015

Salary: INR 6 LPA - INR 10 LPA

Course Specialization: BE/BTech,BCA (CS/IT)

Tentative date of joining: Immediate

Tenative date of interview: Will be communicated post registration window is closed.

* The shortlisted candidates will be sent Admit Cards/Call Letters on their registered mail Id, which they will need to, carry on the date of Interview. No candidate will be entertained by the company without the formal intimation from Aspiring Minds.

Job Description & Skill Set Required:
-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.
-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,SPSS or SAS etc . Excellence in at least one of these is highly desirable.
-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.
-Data-oriented personality.

Interview Process: 
-HR Round
-Technical Round
-Business Round

Last Date to apply: 6-10-2016