1.   Strong background in machine learning (unsupervised and supervised techniques) with significant experience in text analytics/NLP.

2.   Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.

3.   Strong programming ability in Python with experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, etc.

4.   Good knowledge of database query languages like SQL and experience with databases (PostgreSQL/MySQL/ Oracle/ MongoDB)

5.   Excellent verbal and written communication skills,

6.   Excellent analytical and problem-solving skills

7.   Degree in Computer Science, Engineering or relevant field is preferred.

8.   Proven Experience as Data Analyst or Data Scientist

Good To Have:

1.   Familiarity with Hive, Pig and Scala

2.   Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc

3.   Experience with using cloud technologies on AWS/ Microsoft Azure "