Applied Data Science (Fresher)

September 24, 2026

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: <ul> <li>Collect, clean, process, and analyze structured and unstructured data. </li> <li>Build and evaluate machine learning and statistical models. </li> <li>Perform exploratory data analysis (EDA) and identify meaningful patterns and insights. </li> <li>Develop data pipelines and prepare datasets for analytics and ML use cases. </li> <li>Work with engineering and product teams to solve data-driven problems. </li> <li>Evaluate model performance and continuously improve model accuracy and efficiency. </li> <li>Create visualizations and reports to communicate data-driven insights. </li> <li>Apply statistical techniques to support product and business decisions. </li> <li>Stay updated with current developments in machine learning, data science, and AI. </li> <li>Write clean, maintainable, and efficient code. </li></ul>Requirements <ul> <li>Strong proficiency in Python. </li> <li>Good understanding of Data Structures and Algorithms (DSA). </li> <li>Good understanding of Statistics and Probability. </li> <li>Knowledge of Machine Learning fundamentals. </li> <li>Experience with libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn. </li> <li>Worked on LLMs tuning, replicated small/medium research papers, Dataset creation and some kind generated by their own. </li> <li>Understanding of data preprocessing, feature engineering, model evaluation, and validation. </li> <li>Basic knowledge of SQL and relational databases. </li> <li>Strong analytical and problem-solving skills. </li> <li>Ability to understand and work with large datasets. </li> <li>Good debugging and logical reasoning skills. </li></ul>What We’re Looking For: <ul> <li>Strong programming and DSA fundamentals. </li> <li>Curiosity to understand data and solve real-world problems. </li> <li>Strong mathematical and analytical thinking. </li> <li>Ability to learn quickly and work independently. </li> <li>Good communication and collaboration skills. </li> <li>Passion for building practical AI/ML solutions. </li></ul>Education BE/BTech in Computer Science, Information Technology, Artificial Intelligence, or Machine Learning only.

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