Data Science Lead Job Vacancy in Schlesinger Group Gurgaon, Haryana – Updated today
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Full Details :
Company Name : Schlesinger Group
Location : Gurgaon, Haryana
Position :
Job Description : 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.
This post is listed Under Technology
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