BigTapp India Pvt Ltd

Job Description

Lead & mentor the data analysts and data scientists to achieve business goals of BigTapp and its customers
Responsible for leading the development, validation and delivery of algorithms, statistical models and business analysis
Develops algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
Lead and coach Data Science team members with latest machine learning algorithms including decision trees, probability networks, association rules, clustering, regression, and neural networks
Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation, model implementation and model ops
Provide thought-leadership and dependable execution on diverse projects
Identify emergent trends and opportunities for future client growth and development
Education and Experience Requirement

Experience: 5 to 8 years experience in data sciences and should have handled a team of data engineers, analysts and scientists
Proven experience in:
Developing actionable insights and recommendations for business leaders
Presenting results and recommendations to non-technical business audience to drive the decision-making process
Deployed data science solutions with proven business benefits
Should have an educational background in statistics/data sciences/actuarial sciences. PhD will be an added advantage
Innovative and strong analytical and algorithmic problem solvers
Proficiency with open source analytical tools and one or more of Data Science Platforms (AWS Sagemaker/ Azure ML/ H2O.AI etc)
Subject Matter Expertise in effective machine learning tools and technologies including Tensorflow, Spark / Spark MLib, Flink, Mahout or any packaged cognitive solutions
Database programming in SQL
Proficiency with software development technologies (e.g. Python, Java)
Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly verbally and in written form
Domain expertise in any one or more of the following domains: Insurance, Banking, Manufacturing, Retail & FMCG
Experience and familiarity with common business use cases of analytics

Good To Have:

Experience with big data tools (e.g., Hadoop, HDFS, Cassandra, Storm)
Programming in NOSQL environments
Experience at data visualization and presentation using tools like Tableau, Qlik Sense & Power BI
Expertise in unstructured analytics: NLP, Computer Vision and Audio Analytics
Expertise in web scraping
Education: Any Graduate
Industry: IT-Hardware/Networking, Telecom