Data Analyst Jobs in Bangalore,Mumbai,Outside India - Strides
Job Description
- We are looking for a data scientist that 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
Job Particulars
Role others
Who can apply Freshers and Experienced (0 to 3+ Years )
Hiring Process Telephonic Interview, Group Discussion
Employment TypeFull Time
Job Id608181
Job Category Analyst / Analytics , Logistics / Transportation
SkillsSPSS tool
Locality Address
State Karnataka, Maharashtra, Outside India
Country India
About Company
Selecting features, building and optimizing classifiers using machine
learning techniques
Data mining using SPSS Modeler
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
Skills and Qualifications
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 {{depending on specific project
requirements}}. Excellence in at least one of these is highly
desirable
Great communication skills
Experience with data visualization tools, such as SPSS Modeler,
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
Knowledge of SPSS MODELER
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