Responsibilities

• Proficient in statistical and data understanding


• Good understanding on SQL, ETL understanding to collect & transform data from different sources


• High level of proficiency in data mining, cleaning, wrangling (in Python) with good visualization skills


• Proficient in different feature selection, transformation techniques, Machine Learning algorithms, optimization, hyper parameter tuning process.


• Experience in different NLP, text mining techniques such as Bert, LSTM, Seq2Seq models, transformers etc.


• Good knowledge on deep learning algorithms and AI techniques such as Hidden Markov Model, Monte Carlo simulation, CNN, RNN etc.


• Possess knowledge of Python functions, classes and exposure to build Flask and Django applications.


• Exposure to Cloud Platforms (AWS/Azure) etc.


• Experience in any of the visualization tool (Power BI / tableau etc.)


• Exposure to Spark is a plus.

Qualifications we seek in you!

Minimum qualifications

• A Master's or bachelor’s degree in applied quantitative discipline (e.g. Economics, Statistics, Mathematics, Computer Science)

Preferred skills:

• Rich experience in analytics, data science


• Have hands-on experience in development of models using statistical techniques.


• Proficiency in software/applications – Python


• Strong client management and interpersonal skills – written & verbal.


• Ability to work independently