Director - Data Science - IT

What will you be doing?

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

- Define, evolve and enforce relevant software development processes for Data Aggregation team

- The head of data sciences is expected to possess the technical credentials to authoritatively lead a team of highly- qualified professionals and the ability to provide hands-on support to the team when required.

- Understand problem space in its full generality and define an appropriate model representation (ontology, taxonomy, 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.)

- Evaluate relevant algorithms with respect to scalability (execution time, computational resources), accuracy, learning capabilities, suitability for execution in a distributed environment, etc.

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

- Implement highly-optimized, production-ready algorithms in alignment with technology stack and engineering processes

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

- Continuously enhance and optimize algorithms based on analysis of their live performance and actual data

- Discover the value of data flowing through to conceptualize data products to deliver business value for customers

- An individual in this role is expected to work with very large datasets (both structured and unstructured), data cleansing/transformation, feature engineering, apply statistical analysis, data visualization, data mining, design and develop algorithms and define a path to implementation with product engineering teams

Who are we looking for?

- 16+ years- experience; post a Master- s/ Ph.D. 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 modeling, machine learning algorithms, text mining, etc. to answer business questions and drive actionable insights

- Should be able to decide on the best modeling/algorithm approaches and productize analytical solutions

- 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

- Experience working with Agile development process with frequent release cycles

- Experience with complex data architectures, data warehousing