Lead - MIS and Analytics (Remote)

Job description:

Selecting features, building and optimizing classifiers using machine learning techniques

Mining data as and when required

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

Efficient stakeholder management

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, etc.

Experience with common data science toolkits.

Great communication skills

Experience with data visualisation tools

Proficiency in using query languages such as SQL

Good scripting and programming skills

Data-oriented personality

B.Tech, M.Tech, B.S., M.S., MBA

Requirement / Desired Skills

Data Scientist --  Data mining skills , SQL, Advanced ML Techniques, NLP (natural Language Processing)