Data Scientist

Moonfrog Labs; Bengaluru; On-site; INR 2,200,000 - 3,500,000; Full time

Job summary

Moonfrog Labs is seeking a data science/ML engineer with 4+ years of experience to analyze large datasets, build and deploy ML models, and translate data insights into actionable business recommendations. Proficiency in Python and ML libraries, plus experience with cloud platforms and Git, is essential.

Responsibilities include processing data, feature engineering, model evaluation, and exploring churn prediction systems. Knowledge of RL, DL, and LLMs is a plus for advancing product analytics.

Qualifications

• 4+ years of experience in data analysis and ML.
• Experience analyzing large, complex datasets to extract insights.
• Experience building and deploying ML models.

Skills

Data analysis

Machine learning

Python

Scikit-learn

TensorFlow

PyTorch

Feature engineering

Model evaluation

Root cause analysis

Churn prediction

Reinforcement learning

Deep learning

Large language models

Cloud platforms

Git

Job description

Requirements:

• Having experience in data analysis and machine learning.
• At least 4+ years of experience are required.
• Analysed large and complex datasets to uncover trends, patterns & insights. Interpret data findings and translate them into actionable insights.
• Analysis of product-based problems, RCA using data, statistics & ML.
• Proven experience in developing and implementing machine learning models.
• Proficiency in programming languages such as Python and hands-on experience with machine learning libraries and frameworks (e. g., Scikit-learn, TensorFlow, PyTorch).
• Experience with data processing, feature engineering, and model evaluation techniques.
• Preferable to have experience in potential payers and recommendation systems.
• Experience in a churn prediction system.
• Knowledge of deep learning techniques and architectures, RL (Reinforcement Learning), and LLM (Large Language Model) is a bonus.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with software development best practices and version control systems (e. g., Git).