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 "