Data Scientist

Must have skills : Data Science

Summary: 
As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, interpreting results, and providing insights that inform strategic decisions, all while fostering a collaborative environment that encourages innovation and problem-solving.

Roles & Responsibilities: 
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.
- Continuously evaluate and improve existing AI and machine learning models to ensure optimal performance.

Professional & Technical Skills: 
- Must To Have Skills: Proficiency in Data Science.
- Good To Have Skills: Experience with machine learning frameworks such as TensorFlow or PyTorch.
- Strong analytical skills with the ability to interpret complex data sets.
- Experience in developing predictive models and algorithms.
- Familiarity with data visualization tools to present findings effectively.