Applied Data Science (Fresher)

Video SDK; Surat; On-site; INR 500,000 - 700,000; Full time

Job summary

VideoSDK in Surat, India is seeking a Data Scientist with 0-1 years of experience who loves data, ML, and solving practical problems. You will collaborate with engineering and product teams to analyze data, build models, and drive data-driven product improvements.

The role requires strong Python skills, solid knowledge of statistics, ML fundamentals, and DSA, plus experience with Pandas, NumPy, Scikit-learn, and visualization tools.

Qualifications

• Strong Python proficiency and good grasp of data structures and algorithms.
• Solid understanding of statistics and probability.
• Hands-on experience with ML libraries (Pandas, NumPy, Scikit-learn).
• Experience with data preprocessing, feature engineering, model evaluation, and validation.

Responsibilities

• Collect, clean, and analyze structured and unstructured data.
• Build and evaluate ML and statistical models.
• Perform EDA and identify patterns and insights.
• Develop data pipelines and prepare datasets for analytics and ML use cases.
• Collaborate with engineering and product teams to solve data-driven problems.
• Evaluate model performance and improve accuracy and efficiency.
• Create visualizations and reports to communicate insights.
• Apply statistical techniques to support product decisions.
• Stay updated with ML/AI developments.
• Write clean, maintainable code.

Skills

Python

DSA

Statistics

ML fundamentals

Pandas

NumPy

Scikit-learn

Matplotlib/Seaborn

LLMs tuning

Dataset creation

Education

BE/BTech in CS/IT/AI/ML

Tools

SQL

Job description

Surat City, India | Posted on 09/22/2026

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.