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 techniques to drive meaningful business results. This role requires a thoughtful approach to designing solutions that not only address complex challenges but also provide measurable value. The practitioner collaborates with various stakeholders to ensure that the models align with organizational goals and contribute to informed decision-making processes. Continuous evaluation and refinement of these frameworks are integral to maintaining their effectiveness and relevance in a dynamic business environment.

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 understand business requirements and translate them into technical solutions.
- Continuously monitor and improve the performance of deployed models to ensure optimal outcomes.
- Document methodologies and processes to support knowledge sharing and future reference.
- Assist junior team members by providing guidance and support to foster their professional growth.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science.
- Strong knowledge of statistical methods and data analysis techniques.
- Experience with programming languages commonly used in data science such as Python or R.
- Familiarity with data preprocessing, feature engineering, and model evaluation.
- Ability to work with large datasets and extract actionable insights.
- Understanding of machine learning algorithms and their practical applications.

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