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Careers

Data Scientist

Id: AT0035

2023-05-25

  • ·        Identify valuable data sources, automate collection processes, and undertake preprocessing of structured and unstructured data.

    ·        Analyze large amounts of information to discover trends, patterns and build predictive models, machine-learning algorithms.

    ·        Combine models through ensemble modeling and present information using data visualization techniques.

    ·        Propose solutions, strategies to business challenges and collaborate with engineering, product development teams.

    ·        Create and maintain data pipeline architecture on the Azure platform. Ensure that system designs adhere to solution architecture design and are traceable to functional and non-functional requirements.

    ·        Leverage Azure Data Factory and Databricks to assemble large, complex data sets. Design new solutions and services to improve overall user experience.

    ·        Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

    ·        Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ 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.

    ·        Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

    ·        Work with data and analytics experts to strive for greater functionality in the data systems.

     

    Qualification:

     

    This position requires a minimum of a Bachelor’s Degree in Computer Science, Computer Information Systems, Information Technology, or a combination of education and experience equating to the U.S. equivalent of a bachelor’s degree in one of the aforementioned subjects.