Company summary :
Our client is a global provider of Business Support Systems (BSS) for Communications Service Providers offering revenue analytics, cost analytics and Network analytics.
Position overview :
- Design, build and operate data science practice for a "CLIENT" managing all apects of the practice. Lead a team of data analysts to dive deep into data and emerge with actionable nuggets of information thereby helping CSPs to monetise their vast reserves of data.
Sample problems that your team is likely to work on :
- Predict who, when and why is likely to churn from the network
- What is the trend of 4G adoption?
- How much revenue will the product P generate in next 90 days
- What is the best price point for this bundle
- Who are the top most influencers in my network
Qualification and experience required :
- Graduates majoring in statistics/mathematics will have an additional advantage.
- Overall 7 to 10 years of experience with at least 4+ years of demonstrated experience in managing analytics/data science teams
- Knowledge of machine learning techniques like Bayesian, Decision Trees, Neural Networks, etc.
- Knowledge of advanced statistical methods including multi-variate statistical methods, discrete choice modelling, etc.
- Working proficiency in atleast one data mining tool (SAS, SPSS, R, RapidMiner, etc.)
- Strong logical and quantitative skills with affinity for mathematics
- Ability to drive and manage client teams of size 2 - 10
- Good communication skills
- Open to travel / relocate to all worldwide locations
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