Huquo Consulting Pvt. Ltd | Jobs | Data Analyst – Machine/Deep Learning Algorithms | BigDataKB.com | 31-01-22

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Job Location: Gurgaon/Gurugram

– 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.

Apply Here

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