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Talent Acquisition Manager at Reward360
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Reward360 - Manager - Data Science & Analytics (5-10 yrs)
Reward360 Global Services Pvt Ltd is India's premier Customer Engagement Solutions Company. Headquartered in Bangalore with an office in Dubai and Singapore, our 'Global' loyalty solution has been built after years of deep understanding of consumers, the nuances of the loyalty diaspora, the onset of big data, and most important the simplicity that needs to be delivered across any loyalty program.
Our Technology, Marketing, Alliances, Business, Product, and Operations teams work in collaboration to create and deliver the most successful loyalty programs in India today. With over 2000+ retail alliances in India and access to over 10 million rewards globally, gives us the edge to be one of the most exciting and growing loyalty companies in Asia.
The only constant in today's difficult and dynamic market is 'change'. Our team is dedicated to using behavioural patterns of customers combined with cutting edge technology to take complex problems that enterprises face today and simplify them. This helps make our programs more relevant and puts the customer on the path of true loyalty.
Over 100+ dedicated team members work in collaboration to create world-class loyalty products out of our Corporate Office, R&D Lab, and Operation Hubs.
We are looking for a Manager, Data Science & Analytics who can help us in growing our Data Science team.
What you will do -
- Hire and manage a team of data analysts and machine learning engineers.
- Analyse massive amounts of consumer data and create PoC for data-driven products.
- Generate data-driven insights for our clients.
- Ideate and prototype data-driven modules for our existing platforms.
- Perform customer behaviour analytics using the data available with the Customer Data Platform.
- Develop/enhance different recommender systems, conversational discoverability modules, rules prediction engines etc.
- Define new derived variables to improve our data pipeline/data lake to enhance our analytics capabilities.
What you will need -
- BE/B.Tech/M.Tech/MS in Computer Science.
- A minimum of 5 years of experience in data analytics, data science, statistical modelling.
- Excellent programming skills in python.
- Hands-on experience in data mining supervised and unsupervised machine learning techniques.
- Experience with NLP is preferable but not a must.
- Experience in training recommender systems, regression models/predictive modelling etc.
- Hands-on experience with R programming, Spark/Hadoop and TensorFlow is a must.
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