Data Scientist - AI / ML Solutions

Job Description :

The Data Scientist will lead the design, deployment, and lifecycle management of AI initiatives, translating business needs into scalable data-driven solutions.

The role ensures data quality, optimized workflows, and measurable business impact through structured execution and continuous improvement.

In addition to delivering high-performance models, the position involves collaborating with stakeholders, aligning AI solutions with strategic objectives, and mentoring junior team members.

The role also drives long-term adoption through reusable frameworks and successful Build-Operate-Transfer (BOT) of AI Apply advanced ML techniques (ANN, XGBoost, Deep Learning, etc.) to solve complex business problems.

• Use state-of-the-art AI frameworks to improve accuracy, efficiency, and scalability.
• Optimize models via feature engineering, hyperparameter tuning, and algorithm selection.
• Manage the full AI lifecycle : data preparation, model building, deployment, and monitoring.
• Collaborate with engineering teams for seamless production integration.
• Leverage project management tools (e.g., JIRA) for structured execution.
• Maintain robust frameworks for model versioning, documentation, and reproducibility.
• Drive systematic experimentation to refine models and close performance gaps.
• Conduct A / B testing, error analysis, and post-deployment monitoring.
• Establish strong feedback loops between AI performance and business KPIs.
• Encourage innovation by exploring and testing new algorithms.
• Enforce coding, documentation, and version control best practices.
• Stay updated with emerging AI / ML methodologies and translate them into adoption strategies.
• Mentor junior data scientists and foster technical excellence across the team.
• Ensure seamless integration of AI into business workflows.
• Lead discussions with stakeholders to align AI with operational goals.
• Standardize communication for clarity, accountability, and alignment across teams.
• Standardize and scale AI solutions for deployment across business functions.
• Develop reusable AI frameworks to reduce redundancy and improve efficiency.
• Document and share learnings to promote knowledge transfer.

Requirements :

Soft Skills :

Preferred Skills :

(ref : hirist.tech)