Head of Data Science

 10+ years of experience in data science, with at least 3–5 years in a

leadership role.
 Proven experience deploying scalable machine learning solutions in a
production environment.
 Expertise in Python, R, SQL, and common ML libraries (scikit-learn,

TensorFlow, PyTorch, XGBoost, etc.).
 Strong understanding of MLOps, data engineering, and cloud platforms
(AWS, GCP, Azure).
 Experience with data platforms like Databricks, Snowflake, or
BigQuery.
 Exceptional analytical, problem-solving, and decision-making skills.
 Excellent communication and stakeholder management skills, including
experience presenting to executive leadership.
 Deep expertise in machine learning, deep learning (CNNs, RNNs,
transformers), LLMs, and MLOps.
 prior experience in [insert industry: e.g., fintech, e-commerce,
healthcare, SaaS, etc.].
 Familiarity with generative AI, LLMs, and foundation model
deployment.
 Experience building data science COEs (Centers of Excellence).
 Knowledge of privacy regulations (GDPR, CCPA) and responsible AI
frameworks.