Job highlights

- MS or PhD in CS, Statistics, AI or related field with 7+ years experience, expertise in Python ML production, Azure ML, Bayesian modeling, and time-series forecasting
- Deploy ML models to production, develop cloud-based ML solutions, build REST APIs, and deliver end-to-end data products

We are looking for Senior Data Scientist for HCL Tech Key skills: Data Scientist, Machine Learning, Timeseries

Experience : 7+ Years

Notice Period: 0-45 Days

Location: Hyderabad

JD:

We Expect: •

MS or PhD in Computer Science, Statistics, Mathematics, Artificial Intelligence, Physics, or a related technical discipline.

- At least 5 years of experience in a statistical and/or data science role. • Expertise in Python (experience with languages like R, MATLAB, Scala is a plus).

- 2+ years of hands-on Python ML Production experience (not just POC), with proficiency in deploying models to real-world systems.
- 3+ years of professional experience as a Data Scientist, with a focus on applying machine learning models to business problems.
- Strong software engineering skills, including unit testing, object-oriented programming, and familiarity with best practices like PEP8 and tools like Black

. • Familiarity with Azure Machine Learning (1+ year of experience) and building cloud-based ML solutions.
- Experience in Bayesian modeling (1+ year) and the application of probabilistic models. • Fluency in the NumFOCUS stack: pandas, scikit-learn, Matplotlib, and SciPy. Classification: Internal





- Experience working with large datasets using tools like Spark and RDBMs. • Experience with version control systems (e.g., Git) and knowledge of DevOps tools (Docker, Kubernetes, CI/CD pipelines).

• Proven ability to deploy models to production and plan products, considering the broader technical landscape.
- Hands-on experience with time-series algorithms and forecasting methods such as ARIMA, SARIMA, SARIMAX, Exponential Smoothing, Prophet, VAR, and state space models, along with modern machine learning and deep learning approaches such as XGBoost, LightGBM, LSTM, GRU, and Transformer-based forecasting.

- Solid understanding of time-series feature engineering, trend and seasonality decomposition, lag-based modeling, anomaly detection, model backtesting, and forecast evaluation using metrics such as MAE, RMSE, MAPE, sMAPE, and WAPE.

• Good full-stack engineering experience, including building and consuming REST APIs using FastAPI or Flask, integrating analytical services into microservice based architectures, and collaborating on frontend applications built with frameworks such as React or Angular. • Experience in delivering end-to-end data products with SQL/NoSQL databases, containerized deployments, cloud services, orchestration, observability, and secure production practices for business-facing analytical applications.
- Experience with Azure stack would be a plus.

interested candidates please share your resume to [email protected]

📌 Data Scientist (Hyderabad)
🏢 HCLTech
📍 Hyderabad