Data Science Practitioner

Data Science Practitioner

Project Role : Data Science Practitioner
Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.
Must have skills : Data Science
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Science Practitioner, a typical day involves developing and implementing advanced decision-making frameworks and models that leverage artificial intelligence and machine learning to drive meaningful business results. This role requires continuous evaluation of the effectiveness of these solutions, ensuring they align with organizational goals and deliver measurable value. Collaboration with various stakeholders to understand business challenges and translate them into technical solutions is a key aspect of the daily routine, alongside monitoring model performance and refining approaches to optimize outcomes.

Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to gather requirements and translate them into actionable data science projects.
- Continuously update knowledge on emerging trends and technologies in artificial intelligence and machine learning to enhance solution quality.
- Assist junior team members by sharing knowledge and providing guidance on best practices.
- Document methodologies and processes to ensure reproducibility and knowledge sharing within the team.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science.
- Strong analytical skills with the ability to interpret complex data sets and derive actionable insights.
- Experience in designing and deploying machine learning models for real-world applications.
- Familiarity with data preprocessing techniques including cleaning, transformation, and normalization.
- Ability to work with large datasets and utilize statistical methods to validate model performance.
- Effective communication skills to present technical findings to non-technical stakeholders.

Additional Information:
- The candidate should have minimum 3 years of experience in Data Science.
- This position is based at our Coimbatore office.
- A 15 years full time education is required.