Data Scientist - Deep/Machine Learning

Description :

Key Responsibilities :

- Collect, clean, and prepare data from multiple sources for analysis and modeling.

- Build, evaluate, and optimize machine learning, deep learning, and NLP models.

- Ensure model robustness through cross-validation and scalability checks.

- Produce clear non-technical reports summarizing insights, model performance, and

recommendations.

- Translate business requirements into analytical solutions and advise stakeholders on strategic actions.

- Guide, mentor, and oversee junior data scientists to support project delivery and capability

building.

- Maintain high-quality documentation of models, processes, and methodologies.

- Stay updated with evolving trends in data science, ML, NLP, and AI to keep solutions relevant and innovative.

Required Qualifications & Skills :

- Strong hands-on experience as a Data Scientist with project ownership.

- Proficiency in Python, NumPy, Pandas, Scikit-learn, Flask, and related ML/AI frameworks.

- Solid understanding of Machine Learning, Deep Learning, NLP, and statistical techniques.

- Strong knowledge of SQL and experience with data pipelines.

- Experience working with AWS services or similar cloud platforms.

- Proven ability to manage and deliver end-to-end data science projects.

- Strong communication skills and ability to present findings to non-technical stakeholders.

- Experience mentoring or supervising junior team members.