Data Scientist

Required skills & Qualifications:
We're looking for someone with 4.5 -8 years of experience manipulating data sets and building statistical models, with a Bachelor's/Master's/PhD degree in Statistics, Mathematics, Computer Science or another quantitative field, from any of the top-tier colleges.
Strong problem solving skills with an emphasis on product development.
Excellent written and verbal communication skills for coordinating across teams.
Good applied statistics skills such as distributions, statistical testing, regression.
Good scripting and programming skills in Python, pyspark and SQL.
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Xgboost, Decision Forests, artificial neural networks and their real-world advantages or drawbacks. Knowledge of deep learning techniques is a plus.
Experience with common data science toolkits such as NumPy, Pandas, Scikit-learn, TensorFlow, Keras etc.
Experience with data visualisation tools such as Tableau.
Experience in credit, risk, or collections management (e. g., Application Scorecard, Behaviour Scorecard, Collection Scorecard, Loan Pricing, Propensity Model, Cross-Sell Model) is a strong plus.
Experience with NoSQL databases such as MongoDB, Cassandra, HBase is desired.
Experience with distributed data/computing tools like Map/Reduce, Hadoop, Hive, Spark is a big plus.
Hands-on experience with cloud computing and big data platforms (e. g., AWS S3, SageMaker, Athena, and Databricks) would be preferred

Skills
ML, machine learning, pyspark, python, sql, statistical, statistics

Experience
5-9 yrs