Applied Data Science (Fresher)
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Summary
Entry-level (0–1 yrs) Applied Data Scientist at VideoSDK, onsite in Surat, analyzing data and building/evaluating ML and statistical models with engineering and product teams. Core stack: Python, Pandas/NumPy/Scikit-learn, SQL, plus LLM tuning and dataset-creation experience.
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.