Merilytics - Manager - Data Science - IIT/BITS/NIT

Manager - Data Science:

- We expect you to manage a team and also work on complex, cross-functional analytical and research-oriented projects using advanced computational, machine learning and deep learning algorithms

- You will be responsible for developing proprietary algorithms for solving complex business problems while handling large amount of structured and unstructured data

- You will be expected to use relevant knowledge of computer science fundamentals, distributed computing and machine learning to help build scalable analytical solutions

- You will ensure that the data science team works closely with our technical team and core business teams for design and development of the analytical solutions

- You would need to combine business knowledge with statistical and computational techniques to provide actionable business solutions for our clients.

Pre-requisites and skillsets for this role:

- 2-5 years of experience in applying concepts in Data Science, Machine Learning, Algorithm development, Advanced Computing or Statistical Modeling to solve real-world problems

- Practical experience in at least one of the following programming languages: R or Python

- Strong modelling skills and ability to build practical models using advanced algorithms such as Random Forests, SVM, Neural Networks

- Familiarity with algorithms in recommendation systems, NLP or big data frame-works such as Hadoop/Spark is a bonus

- Strong independent and creative research skills necessary to keep up with the latest trends in advanced analytics

- Undergraduate degree from premier institutions such as IIT, BITS, NIT etc.

- Interested in working in a high-growth environment where your analysis drives important decisions

- Strong communication skills enabling you to clearly communicate your thoughts/work to the client or internal teams.

What is in it for me if I join Merilytics:

- High growth environment: How fast you grow within the company into leadership positions with greater responsibility is only dependent on your performance and contributions; Semi-annual performance management and promotion cycles enabling fast track to leadership responsibility

- Unparalleled quality of work: Exposure to CXO level at the clients enabling to hone your capabilities; Solve interesting and hard problems across multiple industries and domains that keeps you always excited and motivated; Integrated technology and business teams that offers a strong foundation for building a sustainable data science culture

- Fun culture and peer group: Non-bureaucratic and fun working environment;

- Strong peer environment that will challenge you and accelerate your learning curve.