Data Scientist - KPO (2-8 yrs)

- Minimum 2-8 years of hands-on analytical experience on Modelling and Machine Learning

- Experience in usage of different analytical techniques, like segmentation, predictive modeling, time series forecasting, hypothesis testing, optimization etc.

- Ability to drive clear and comprehensive communication flow between business stakeholders and the team and vice versa, translating analytical findings into key insights and actionable recommendations

- Experience on business problems around sales/marketing strategy optimization, pricing optimization, cross-sell and retention.

- Ability to Mentor junior team on analytical and technical skills.

- Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc. Experience working with data from different sources and of different complexity Predictive modelling using Machine Learning

- Good to have: Experience with unstructured data analysis, e.g., call transcripts, using Natural language Processing (NLP)/ Text Mining

- Advanced analytical and business strategy skills

- Project and process management skills

- Solid organizational skills and ability to manage multiple projects at one time.

- Self-starter who also has a demonstrated ability to work successfully in a team environment.

- Ability to work in a fast paced, dynamic, environment.

- Analytical and problem-solving ability to deliver projects in a fast-paced environment.

- Excellent presentation skills to eloquently explain and drive the agenda.