Applied Data Science (Fresher)

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.