EXL Analytics Hiring for Data science at   Gurgaon Full Time

Responsibilities

· 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

· Master’s or Bachelor’s degree in math, statistics, economics, computer engineering or related analytics field from tier 1 colleges with strong record of achievement.

· 2-10years’ 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.