Senior Data Scientist
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About Us
CodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are a team of 550+ engineers, driving innovation across Product & Data Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based solutions.
Key Responsibilities
• Develop and implement statistical models and machine learning solutions using Python.
• Perform time series forecasting using ARIMA, Prophet, ETS, and other forecasting techniques.
• Apply causal inference methodologies to identify relationships, measure business impact, and perform root cause analysis.
• Develop anomaly detection models to identify unusual patterns, trends, and deviations in datasets.
• Perform data analysis and manipulation using Python, Pandas, SQL, and Scikit-learn.
• Build simulation and scenario models to evaluate business outcomes under different conditions.
• Design and execute A/B testing and experimentation to measure the effectiveness of business initiatives.
• Develop, validate, deploy, and maintain production-ready machine learning models.
• Work with cross-functional teams to translate business problems into analytical and ML solutions.
• Monitor model performance and continuously improve model accuracy and reliability. Must-Have
Skills:
• Strong hands-on experience in Python and SQL.
• Expertise in Pandas and Scikit-learn.
• Time Series Forecasting – ARIMA, Prophet, ETS.
• Causal Inference and Root Cause Analysis.
• Anomaly Detection techniques.
• Statistical Modeling and Machine Learning.
• Simulation and Scenario Modeling.
• A/B Testing and Experimentation.
• Production ML Model Development and Deployment. Why Join CodeVyasa?
• Work on innovative, high-impact projects with leading global clients.
• Exposure to modern technologies, scalable systems, and cloud-native architectures.
• Continuous learning and upskilling opportunities through internal and external programs.
• Supportive and collaborative work culture with flexible policies.
• Competitive salary and comprehensive benefits package.
• Free healthcare coverage for employees and dependents.
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