Job Description
Roles and Responsibilities
- Have to work with complex data structures, manipulate, cleanse data and perform statistical analysis like Hypothesis testing, Chi-square, ANOVA, z-test, t-test, etc.
- Have to perform hands-on analysis of large volumes of transaction, supplier, and customer-level data, primarily using SQL and Python.
- Develop and deliver Machine Learning models & predictive analysis.
- Support testing initiatives (Feature Importance test, Cross-Validation, A/B Tests, etc.)
- Implement analytical frameworks and/or proposals.
- You will work with various partners (Line of Business, Programs, etc.) to support ad hoc requests & initiatives.
Desired Candidate Profile
- 3+ years of proven experience in Data Science/ Machine Learning/ NLP.
- Deep knowledge of maths, probability, statistics, and algorithms.
- Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling.
- Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis, etc), statistics and classification algorithms.
- Have in-depth knowledge of NLU, NLP, and common NLP algorithms like BERT, word2vec, FastText, ELMO.
- Strong knowledge of NLG algorithms like HMM, LSTM, Transformers, AutoEncoders, etc.
- 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.
Note:- Early joiners are highly preferable. Your Max Notice Period should not be more than 30 Days.
Job Classification
Industry: IT Services & Consulting
Functional Area: Analytics & Business Intelligence,
Role Category: Analytics & BI
Role: Analytics & BI
Employement Type: Full time
Education
Under Graduation: B.Tech/B.E. in Any Specialization
Post Graduation: M.Tech in Any Specialization, MCA in Computers, MS/M.Sc(Science) in Mechanical Engineering, Physics, Computers, Electronics & Embedded Technology, Statistics, Electronics, Electrical Engineering, Cyber Security Engineering, Data Informatics, Maths
Doctorate: Any Doctorate in Any Specialization, Doctorate Not Required
Contact Details:
Company: Schlesinger Group
Address: Pace City-1, Plot no 139, SECTOR-37, Gurgaon, Haryana,122001, INDIA
Location(s): Noida, Gurugram
Keyskills:
Data Science
Machine Learning
Python
Data scientist
NLP
Algorithms
NLG
Statistics
SQL