Brief Description of position:

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.

Minimum Qualification:

Graduate