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Data Science Head

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Job Description and Qualification:

·         Participate in Project Planning and provide reasonable estimates in order to meet delivery requirements and provide accurate timelines to stakeholders.

·         Create and maintain optimal data pipeline architecture and be a conduit for Data Management.

·         Assemble large, complex data sets that meet functional / non-functional business requirements.

·         Build the infrastructure required for optimal extraction, transformation, and loading of data from a

wide variety of data sources and technologies

·         Build analytics tools that utilize the data pipeline to provide actionable insights into customer

acquisition, operational efficiency and other key business performance metrics.

·         Work with stakeholders including the Executive, Product, Data and Design teams to assist with

data-related technical issues and support their data infrastructure needs

·         Keep our data secure and make sure it adheres to regulations set forth by governing bodies.

·         Reviews data requirements of data models.

·         Performs data gathering and assessment of required sources for data models

·         Creates Data models to represent and communicate data requirements and enable organization to

understand their data asset.

·         Create data tools for analytics and data science requirements in order to help in building and

optimizing our product into an innovative industry leader.

·         Creates Data models to represent and communicate data requirements and enable organization to

understand their data asset.

·         Interpret data, analyze results using statistical techniques and provide ongoing reports

·         Develop and implement databases, data collection systems, data analytics and other strategies that

optimize statistical efficiency and quality

·         Generates reports and recommends actionable insights to the business and value streams

·              Graduate of Statistics, Operations Research, Mathematics, Engineering or any related field, preferably with Master’s degree

·              At least 5 years of relevant experience in data science/analytics

·              Exposed in modern data science and product/web analytics tools and techniques, including Python and associated data science ecosystem, Machine Learning, Google Cloud Data platform: BigQuery, Dataflow, etc.

·              Have broad knowledge and understanding of advanced statistical, machine learning, and/or data mining techniques

·              Excellent analytical and presentation skills

·              Can interface with people across level


PHP 2 M – 2.9M