Data Scientist


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    Location: Bengaluru/Goa

    Mode of Hire: Permanent

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    Qualifications

    Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor’s or higher degree; OR appropriate combination of education and experience.

    Job Responsibilities

    We are looking for a Data Scientist with 5+ years of experience who will support our product and the rest of the company verticals with insights gained from analysing company data.

    • Work with stakeholders throughout the firm to identify opportunities for leveraging company data to drive business solutions.
    • Mine and analyse data from company databases, drive optimisation and improvement of product development, marketing techniques and business strategies.
    • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
    • Develop custom data models and algorithms to apply to data sets.
    • Use predictive modeling to increase and optimise customer experiences, revenue generation, ad targeting and other business outcomes.
    • Coordinate with different functional teams to implement models and monitor outcomes.
    • Develop processes and tools to monitor and analyse model performance and data accuracy.

    Job Requirements

    • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
    • Experience working with and creating data architectures.
    • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
    • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
    • Coding knowledge and experience with several languages: C#, .Net, Java, Java Scripts etc.
    • Background in data warehouse design (e.g. dimensional modeling) and data mining.
    • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
    • Team player with excellent interpersonal skills.
    • Self-motivated and independent learner.
    • Ability to handle multiple projects.
    • Ability to identify or uncover patterns, correlations and trends.
    • Proven abilities to take initiative and be innovative.
    • Analytical mind with a problem-solving aptitude.
    • Familiar with Agile development processes.
    • Ability to communicate effectively in English, both written and verbal.