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Data Analyst - Machine/Deep Learning Algorithms


Huquo Consulting


Location

Delhi | India


Job description

Job Description : - Be involved in the approach to the problem, structure and delivery of the solution.- Contribute to how analytical approach is structured for specification of analysis.- Solve business problems by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data.- Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems.- Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with client's data.- Become an expert in clients information assets.- Build, scale and deploy holistic data science products after successful prototyping.- Reformulate highly technical information into concise, understandable terms for presentations.- Doing research on advanced and better ways of solving the problems and inculcating new learnings to the team.Qualifications :- 2-7 years experience with solid analytical skills and an entrepreneurial, hands-on approach.- Strong hands-on programming skills in Python, SQL. Experience with large data sets and analytical tools.- Excellent understanding of traditional machine learning techniques and algorithms, such as K-means, KNN, SVM, Random Forests, etc. Experience using ML, DL frameworks (such as Scikit-learn, XGBoost, TensorFlow, Keras, etc.)- Strong experience in presenting analytical insights using powerpoint/excel. Case interview is expected.- Candidates who have published white papers, research papers in the field of computer science and data science are desirable.- Prior experience in management consulting and/or analytics based consulting is desirable.- Preferred domain expertise in Retail, Media or Sports.- Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required. (ref:hirist.tech)


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