Data Scientist

    Matina IT Park, Davao, Philippines

    Full-time

    Job Description:

    We are seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will be responsible for analyzing large sets of data to uncover patterns, trends, and insights that can drive business decisions. You will work closely with various departments to develop data-driven solutions that improve our products, services, and processes. The ideal candidate will have a strong background in statistics, machine learning, and data analysis, with the ability to translate complex data into actionable insights.

    Responsibilities:
    • Collect, process, and analyze large datasets to identify patterns, trends, and insights.
    • Develop and implement predictive models and machine learning algorithms to solve complex business problems.
    • Work closely with stakeholders to understand their data needs and provide actionable insights.
    • Communicate findings and recommendations to both technical and non-technical audiences.
    • Collaborate with data engineers to ensure data quality and integrity.
    • Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence.
    • Create and maintain data dashboards and visualizations to track key performance indicators (KPIs).
    • Develop and maintain documentation for data processes, models, and algorithms.
    Requirements:
    • Proven experience as a Data Scientist or in a similar role.
    • Strong understanding of statistical analysis, machine learning, and data mining techniques.
    • Proficiency in programming languages such as Python, R, or SQL.
    • Experience with data visualization tools such as Tableau, Power BI, or similar.
    • Strong analytical and problem-solving skills with attention to detail.
    • Ability to communicate complex data insights to non-technical stakeholders.
    • Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field; a Master’s degree is a plus.
    • Familiarity with big data technologies and cloud platforms (e.g., Hadoop, AWS, Azure) is an advantage.
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