Senior Data Scientist
We are looking for experienced Senior Data Scientist | Mumbai having 4+yrs of experience.
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.