Lead Data Scientist,
Industry : Manufacturing (Steel/Metal Industry)
About the Role:
- We are seeking a seasoned Lead Data Scientist who thrives in a dynamic and fast-paced environment. In this role, you will lead and mentor a team of data scientists while remaining hands-on with coding and technical work.
- The ideal candidate will possess strong leadership capabilities, full-stack development exposure, and the ability to act as both an individual contributor and a collaborative team leader.
Key Responsibilities:
- Lead and mentor a team of data scientists, providing technical guidance and career development support.
- Architect, design, and implement advanced data models and machine learning solutions.
- Collaborate with stakeholders to identify business needs and translate them into data-driven solutions.
- Drive end-to-end development of machine learning models, from concept to production.
- Maintain hands-on involvement in coding, debugging, and deploying data pipelines and models.
- Ensure best practices in coding, model deployment, and cloud infrastructure usage.
- Foster a culture of collaboration, innovation, and knowledge sharing within the team.
Qualifications:
- Bachelor's or master's degree in metallurgy, mechanical, or a related field from IIT, NIT or top university.
- 8+ years of experience in data science and machine learning, with at least 2+ years of team leadership experience.
- Experience in metal industry, manufacturing industry or similar industry exposure
Technical Skills:
- Strong Python programming skills with expertise in libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
- Proven full-stack development experience, including backend systems, REST APIs, and front-end integration.
- Expertise in cloud platforms such as AWS, Azure, or GCP for deployment and scaling of models.
- Solid understanding of DevOps practices for machine learning (MLOps).
- Exceptional problem-solving, organizational, and decision-making skills.
- Strong interpersonal and communication skills to manage and guide a team effectively.
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