Responsibilities:
- 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.