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    Data Scientist

    vector icon of suitcase4+ Years of experiencevector icon of clockFull Timevector icon of locationThrissur

    About

     As a Data Scientist at WAC, you will be at the forefront of turning complex data into actionable insights that inform business strategies and drive innovation. You will work closely with cross-functional teams to develop and deploy data science solutions that contribute to the achievement of our business goals.

    Responsibilities
    • Data Exploration: Collect, clean, and preprocess data from various sources to ensure data quality and integrity.
    • Statistical Analysis: Apply advanced statistical and machine learning techniques to analyse data and extract meaningful insights.
    • Model Development: Design, build, and optimise predictive and machine learning models that address specific business problems and opportunities.
    • Data Visualisation: Create visually compelling reports and dashboards to present data findings to both technical and non-technical stakeholders.
    • Hypothesis Testing: Formulate and test hypotheses to validate assumptions and provide data-driven recommendations.
    • Feature Engineering: Identify and engineer relevant features to improve model performance and accuracy.
    • A/B Testing: Design and conduct experiments to evaluate the impact of changes and optimisations.
    • Data Storytelling: Communicate complex technical findings in a clear and understandable manner to support decision-makers.
    • Collaboration: Collaborate with teams across the organisation to understand business objectives and provide data-driven insights and recommendations.
    • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and analytics to apply cutting-edge techniques and tools.
    Requirements
    • Master's or Ph.D. degree in a relevant field such as Data Science, Statistics, Computer Science, or related disciplines.
    • 4+ years of experience as a Data Scientist or in a similar role.
    • Proficiency in data analysis tools and languages, such as Python or R.
    • Strong knowledge of machine learning techniques and libraries.
    • Experience with data visualisation tools like Tableau, Power BI, or similar.
    • Excellent problem-solving skills and the ability to think critically and analytically.
    • Strong communication and storytelling skills, with the ability to explain complex technical concepts to non-technical stakeholders.
    • An understanding of data ethics and the responsible use of data.
    Join the team

    Thank you for your keen interest in becoming a part of Webandcrafts. We're eagerly looking forward to gaining deeper insights into your candidacy through this application.