Responsibilities:
Analyze large datasets to uncover meaningful patterns and trends.
Develop and deploy predictive and prescriptive models.
Utilize AI tools to enhance data visualization and storytelling.
Collaborate with engineering teams to integrate AI-powered insights into products.
Communicate data-driven recommendations to stakeholders effectively.
Requirements:
Strong experience in Python, SQL, and AI libraries (Scikit-learn, Keras).
Solid understanding of statistics and machine learning techniques.
Knowledge of big data tools like Hadoop or Spark is a plus.
Excellent communication and teamwork skills.
Bachelor’s or Master’s in Data Science, Computer Science, or related field.