Head - Data Scientist - KPO

Data Scientist

Role Details :

The Head of Data Sciences will lead the development of Machine Learning and big data capabilities to empower analytics and modelling, democratize the access of big data technology and deliver advanced statistical and big data modelling solutions.

Requirements :

- Understand client's business problem space in its full generality and define an appropriate model representation (ontology,topology) that does justice to the inherent incompleteness, uncertainty and fuzziness in both the data and the underlying real-world entities.

- Identify and classify recurring types of problems, and the most effective techniques for each of them (e.g. clustering, dimensionality reduction, classification, NLP techniques, etc.)

- Architect Analytic solutions utilizing Big Data Technologies as Hadoop Technology stack (Map Reduce, Hive, Pig, Mahout, Spark, - etc.).etc.

- Fine-tune/customize algorithms for specific applications based on business requirements and available data

Qualification & Experience :

- Must have 10+ years experience post a Master- s/PhD degree in a quantitative field(computer science, applied mathematics, statistics, software engineering, physics, or related discipline in marketing and analytics) from a premier institute

- The successful candidate should possess strong advanced analytical techniques, technological and problem solving skills in solving real-world problems.

- Should have strong experience in implementing advanced analytics approaches including statistical modelling, machine learning algorithms, text mining, etc. to answer business questions and drive actionable insights.

- Ability to distill complex Big Data and technological concepts into intuitive business approaches.

- Experience developing production systems for processing large volumes of structured and unstructured data in Java, Python or similar technology stack.

- Proficiency in working with applications such as SQL, No-Sql, Hadoop, Hive, Pig,etc. and statistical applications such as SAS, SPSS, R, Revolution R, Python or similar open source statistical applications with a focus on Machine Learning

Connect with me at +919986460308 to know more.