Responsibilities

Job Description

- Analyse complex datasets to identify patterns, issues, and opportunities.
- Formulate and validate hypotheses through structured analysis and experimentation.
- Build and improve machine learning and anomaly detection solutions.
- Design end-to-end solutions considering data, modelling, engineering, and production constraints.
- Perform root cause analysis across models, data, and systems.
- Work with engineering teams on feature pipelines, model inference, and production deployment.
- Lead technical discussions with clients and communicate recommendations, trade-offs, and expected impact.
- Guide team members on analysis, modelling, and solution design.
- Proactively identify initiatives and roadmap items that can add value to the project.

Requirements

- Solid foundation in statistics and machine learning.
- Strong hands-on experience with Python and SQL.




- Hands-on experience with Python ML and data frameworks such as Pandas, NumPy, scikit-learn, TensorFlow/Keras, Dask, Matplotlib, Boto3 SageMaker Python SDK, and Horovod.
- Strong data analysis, hypothesis-generation, and problem-solving skills.
- Experience with standard supervised and unsupervised ML techniques.
- Experience with anomaly detection techniques such as Isolation Forest and Autoencoders.
- Experience building and deploying production ML solutions.
- Working knowledge of data engineering and real-time / batch inference environments.
- Strong communication and stakeholder-management skills.
- Ability to lead technical work and guide cross-functional teams.

Required Skills

[Python, SQL, SageMaker, Pandas and NumPy]

Additional Information

NA

📌 Lead Data Scientist (Itanagar)
🏢 HuntingCube
📍 Itanagar