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    Job · 19122861

    videosdk.live logo

    Applied Data Science (Fresher)

    videosdk.live · Modinagar · onsite · Posted 28d ago

    Not disclosed0–1 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Role: Applied Data Science
    Location: Surat, GJ (Onsite)
    Experience: 0–1 Years

    About VideoSDK:
    VideoSDK is a real-time communication platform that enables developers and businesses to build scalable video, audio, voice, and AI-powered experiences into their applications. Our APIs and SDKs help engineering teams build reliable, low-latency communication products with flexibility and control.

    Role Overview:
    We are looking for a Data Scientist with 0–1 years of experience who is passionate about data, machine learning, and problem-solving. You will work with engineering and product teams to analyze data, build ML models, identify patterns, and contribute to data-driven product improvements.

    This role is ideal for someone with strong fundamentals in Python, statistics, machine learning, and DSA, who enjoys solving complex problems and working on real-world datasets.

    Key Responsibilities:
    • Collect, clean, process, and analyze structured and unstructured data.
    • Build and evaluate machine learning and statistical models.
    • Perform exploratory data analysis (EDA) and identify meaningful patterns and insights.
    • Develop data pipelines and prepare datasets for analytics and ML use cases.
    • Work with engineering and product teams to solve data-driven problems.
    • Evaluate model performance and continuously improve model accuracy and efficiency.
    • Create visualizations and reports to communicate data-driven insights.
    • Apply statistical techniques to support product and business decisions.
    • Stay updated with current developments in machine learning, data science, and AI.
    • Write clean, maintainable, and efficient code.

    Requirements

    • Strong proficiency in Python.
    • Good understanding of Data Structures and Algorithms (DSA).
    • Good understanding of Statistics and Probability.
    • Knowledge of Machine Learning fundamentals.
    • Experience with libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn.
    • Worked on LLMs tuning, replicated small/medium research papers, Dataset creation and some kind generated by their own.
    • Understanding of data preprocessing, feature engineering, model evaluation, and validation.
    • Basic knowledge of SQL and relational databases.
    • Strong analytical and problem-solving skills.
    • Ability to understand and work with large datasets.
    • Good debugging and logical reasoning skills.

    What We're Looking For:
    • Strong programming and DSA fundamentals.
    • Curiosity to understand data and solve real-world problems.
    • Strong mathematical and analytical thinking.
    • Ability to learn quickly and work independently.
    • Good communication and collaboration skills.
    • Passion for building practical AI/ML solutions.
    Education
    BE/BTech in Computer Science, Information Technology, Artificial Intelligence, or Machine Learning only.

    Sourced from foundit

    Skills

    LLMs tuningmodel evaluationprobabilityrelational databasesdata preprocessingfeature engineeringseabornmatplotlibstatisticsdata structures and algorithmsScikit-LearnDataset CreationPythonSQLPandasNumpyMachine Learning

    Applied Data Science (Fresher) · waiting for your command