Data Scientist - Trivandrum / Bangalore ( 4 - 10 years of Experience)

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Data Scientist - Trivandrum / Bangalore ( 4 - 10 years of Experience)

A Client of Analytics Vidhya

Bengaluru, Thiruvananthapuram INR 8.00 - 30.00 LPA Experience : 4 YRS. Openings: 3

Details:

 

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:

open

Skills Required:

boosting, d3.js, deep learning, ggplot2, hbase, hive, machine learning, matlab, MongoDB, naive bayes, No SQL, numpy + scipy, pig, python, r, random forest, regression, spark, sql, svm, text mining, Weka

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