Data Scientist

Experience: 3 to 7 Years

Education requirement:

B. Tech/BE or MSc or MBA or MTech in Stats, Economics, Mathematics, Finance or any other quantitative discipline. As a statistician, you will design and manage experiments and surveys and deal with the initial collection of data. You'll process and analyze the data in context, looking for patterns to help make decisions. You will then advise on findings and recommend strategy.

Responsibilities:

• Complete accountability for delivering 1-2 projects from conception to implementation

• Managing project timing, client expectations and meeting deadlines

• Consulting with clients and agreeing what data to collect and how it should be gathered

• Designing experiments, trials or surveys to produce the required data

• Liaising with departments to obtain data, and analyzing the data

• Proficient in Python, R language

• Performing statistical tests to determine the reliability and soundness of results

• Interpreting the data and making sure that the right decisions are made based on the results

• Presenting results to others, such as senior managers, regulatory authorities and clients

• Advising stakeholders on key decisions based on results

• Carrying out research, often as part of a team

Experience: Must have

• MSc or PhD in Mathematics, Statistics, BTech

• Mathematics and Statistical Modelling

• Strong and Deep Domain knowledge

• Statistical Packages – R and/or Python – Mandate; PySpark, Scala is a plus

• SQL Good to Have

• Machine Learning, Deep Learning

• PowerPoint • Excel

• Big Data Environments such as Hadoop, Hive, etc.

Qualitative skills: • Should have played project and team management roles