Applied Data Science Professional

Video Sdk; Surat; On-site; INR 600,000 - 900,000; Full time

Job summary

VideoSDK is seeking a data scientist to analyze data, build ML models, and drive data-driven product improvements. You will collaborate with engineering and product teams to create pipelines, perform EDA, and deploy models in real-world applications. Strong Python, statistics, ML fundamentals and DS knowledge are essential.

The role is onsite in Surat, Gujarat, and requires 1 year of experience, with a hands-on, problem-solving mindset and a passion for data-driven decision making.

Qualifications

• Strong proficiency in Python and data structures.
• Knowledge of ML fundamentals and statistics.
• Experience with Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn.
• Familiarity with SQL and relational databases.
• Experience with EDA, feature engineering, model evaluation.

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 patterns.
• Develop data pipelines and prepare datasets for analytics/ML use cases.
• Work with engineering and product teams to solve data-driven problems.
• Evaluate model performance and improve accuracy.
• Create visualizations and reports to communicate insights.
• Apply statistical techniques to support product decisions.
• Stay updated with ML/data science developments.
• Write clean, maintainable code.

Job description

Role : Applied Data Science

Location : Surat, GJ (Onsite)

Experience : 01 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 01 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.

Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.