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Bengaluru

    Senior Data Science Engineer - Bengaluru, India - Instadapp

    Instadapp
    Instadapp Bengaluru, India

    3 weeks ago

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    Description

    Job Opening: Experienced Data Science Engineer



    Location:
    Bengaluru

    Job Type:
    Full-time, In-office (Hybrid)

    Experience Required: 3+ years

    Role Overview:
    We are in search of a skilled Data Science Engineer to join our lively team. The perfect candidate should possess a solid background in data science, machine learning, and AI, with a specific emphasis on projects related to consumer health technology.

    You will play a crucial role in generating insights from data and crafting innovative solutions across various projects. Your expertise will be vital in enhancing our product range and enhancing user experiences.


    Main Responsibilities:
    - Design, implement, and execute data models and machine learning algorithms for different projects, particularly in the realm of consumer health technology and AI applications.
    - Perform comprehensive data analysis and preprocessing to preserve data quality and reliability.
    - Build and implement predictive models to reveal patterns, trends, and insights from complex datasets.
    - Collaborate with diverse teams, including software developers, product managers, and healthcare experts, to embed data solutions into our products.
    - Develop data visualizations and dashboards to convey discoveries and support decision-making processes.
    - Continuously supervise and assess the performance of deployed models, making enhancements when necessary.

    Stay informed about the latest developments in data science, machine learning, and AI to refine our methodologies and tools consistently.

    Provide guidance and mentorship to junior data scientists and engineers.


    Requirements:
    - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
    - Demonstrated experience as a Data Science Engineer, with a rich array of projects in consumer health tech and AI.
    - Proficiency in programming languages like Python, R, or SQL.
    - Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
    - Extensive knowledge of machine learning frameworks and libraries (e.g., TensorFlow, Scikit-Learn, PyTorch).
    - Understanding of big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure).
    - Strong problem-solving abilities and adeptness in handling large, intricate datasets.
    - Excellent communication skills and the capacity to explain complex information to non-technical stakeholders.

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