Manager - Data Science Job in Merilytics Inc
Manager - Data Science
Merilytics Inc
4+ weeks ago
- Hyderabad, Telangana
- Not Disclosed
- Full-time
- Permanent
Job Summary
We expect you to manage a team and also work on complex, cross-functional analytical and R&D 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. What are the pre-requisites and skillsets required to apply for this role?3-5 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 modeling skills and ability to build practical models using advanced algorithms such as Random Forest, 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
Job Description
Experience Required :
Fresher
Vacancy :
2 - 4 Hires
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