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 that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders to support informed decision-making. 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 best practices within the team and across departments. - Mentor junior professionals to enhance their skills and understanding of data science methodologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science. - Strong analytical skills with the ability to interpret complex data. - Experience with machine learning frameworks and libraries such as TensorFlow or PyTorch. - Familiarity with programming languages such as Python or R for data analysis. - Knowledge of data visualization techniques to effectively communicate insights. Additional Information: - The candidate should have minimum 7.5 years of experience in Data Science. - This position is based at our Bengaluru office. - A 15 years full time education is required.