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 Were 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.
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