Tally Solutions - Director/Head - Data Science - Clustr

Position : Director/Head - Data Science 

Function : Clustr- Data Science 

Experience : 12+ years

About Clustr

In today's increasingly data-driven world, every enterprise requires information to grow and optimize their operations. In emerging economies like ours, - micro, small and medium- enterprises often lack the relevant information in order to run their business better. Clustr is combining technology and data sciences to build products that are transforming the way these businesses consume information which in turn helps give them a competitive edge. In a nutshell, Clustr has the vision to - bring the benefits of big data to the small-sized businesses- .

For example, whether it's a small grocery store trying to reduce dead stock, a manufacturer looking to streamline the supply chain, or a wholesaler planning to expand to a new location, availability of highly contextual market and demographic information is key to making better commercial and business decisions.

If you are passionate about delivering value to the millions of small businesses who drive economy, Clustr is the place for you. The challenge of extracting valuable insights while working with the complexity of unstructured, un-curated and diverse data brings a new challenge every day. Join us and be a part of this exciting chase.

Why should you join us?

Clustr is building a technology platform that is akin to nothing that currently exists. Our objective is simple but grand - to bring the advantages of accurate, relevant and contextual insights to the common masses (millions of SME businesses that form the majority of enterprises in emerging economies). - Work in an exciting start-up that builds top notch product and services - Learn new technologies and get exposure to multiple engineering areas (including Data Science, Big Data technologies, DevOps) surrounded by a top-quality team - Accelerate your career in a fast-paced, open, non-hierarchical working environment

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 modelling, democratize the access of big data technology and deliver advanced statistical and big data modelling 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 Clustr's 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 Clustr's 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 in data flowing through to conceptualize data products to deliver business value for customers 

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

Who are we looking for? 

 - 12+ 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 

- Should be able to decide on the best modelling/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