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:
7.5 year(s) of experience is required
Educational Qualification: 15 years full time education
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 alignment with organizational goals and delivering tangible results. You will also be responsible for analyzing data, interpreting results, and providing insights that inform strategic decisions, fostering innovation and continuous improvement within the team.
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 capabilities. Develop and implement best practices for data analysis and model development.
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 datasets. Experience in statistical modeling and predictive analytics. Familiarity with data visualization tools to effectively communicate insights.