Analyze and interpret complex data to provide actionable insights.
Develop and maintain predictive models to forecast future trends and outcomes.
Communicate findings effectively to both technical and non-technical stakeholders.
Work with cross-functional teams, including software engineers, product managers, and business analysts.
Utilize tools such as Python, R, SQL, TensorFlow, and big data technologies like Hadoop and Spark.
Ensure model reliability through MLOps practices and maintain data privacy standards.
Requirements:
A master's or PhD in computer science, statistics, or a related field is preferred.
Strong hands-on experience with large-scale projects.
Proficiency in programming languages such as Python and R.
Knowledge of machine learning frameworks and big data technologies.
Excellent communication and collaboration skills.
This role demands a deep understanding of both data analytics and business strategy, enabling the AI Data Scientist to shape the future of the organization's data-driven decision-making processes.
