Location: BENGALURU
Experience: 8 – 15 yrs
Skill: Machine Learning
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
Skills and Qualifications
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Good applied statistics skills, such as Distributions, Statistical Testing, Regression, Time Series Forecasting, Clustering, Decision Tree etc.
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
- Good Python scripting and SAS/R programming skills
- Good understanding on the current happenings in the analytics industry such as deep learning or NLP.
- Exposure to data visualisation tools, such as SAS VA, Tableau/D3.js, PowerBI etc.
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB / Cassandra / HBase
- Data-oriented personality
- Good communication skills