Schlesinger Group
Gurgaon
Business Service
Experience 7+ Yrs
This is a position in an innovative, data-driven team in market research industry. The projects we do harness the power of data to gain business insights and drive business value. This position will play a key role in helping to shape our understanding of the data using the latest analytical tools and techniques.
Responsibility
- You will work with complex data structures, manipulate, cleanse data and perform statistical analysis like Hypothesis testing, Chi-square, ANOVA, z-test, t-test etc.
- You will perform hands-on analysis of large volumes of transaction, supplier and customer level data, primarily using SQL and Python.
- You will develop and deliver Machine Learning models & predictive analysis.
- You will support testing initiatives (Feature Importance test, Cross Validation, A/B Tests, etc.)
- You will implement analytical frameworks and/or proposals.
- You will work with various partners (Line of Business, Programs, etc.) to support ad hoc requests & initiatives.
Mandatory Requirements
- 3+ years of proven experience in Data Science/ Machine Learning/ NLP.
- Deep knowledge of math, probability, statistics, and algorithms.
- Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modelling.
- Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms.
- Have in-depth knowledge on NLU, NLP, and common NLP algorithms like BERT, word2vec, Fast Text, ELMO.
- Strong knowledge of NLG algorithms like HMM, LSTM, Transformers, AutoEncoders (deep learning)
- You should have strong SQL knowledge, to query/join/transform/cleanse data including PyODBC.
- You should have a strong knowledge of Advanced Analytics/Predictive Modelling/Data Science like Regression, Classification, Deep Learning, Decision Trees, Random Forest, Clustering etc.
- Familiarity with machine learning frameworks (like Keras, PyTorch, or TensorFlow) and libraries (like scikit-learn).
- You should have good experience using analytics language preferably Python. R good to have.
- You should have hands on experience on Pandas, NumPy, RDDs, Data structures, DataFrames. Apache Spark good to have.
- Ability to interpret data and analysis results to generate insights.
- Effectively communicate complex ideas to primary business partners, both verbally and in writing.
- Eagerness to learn the business.
- Seek alternative technology solutions to problems.
- Experience working with Git.
- Good to have knowledge of Linux and shell scripting.
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