Director, Data Science Division (Remote, US)

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Requirements:

• Master's or PhD degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
• 12+ years of experience in data science or a related field.
• At least 5 years of management experience leading teams of 10 or more data scientists, ML engineers, solution architects, and data engineers.
• Deep expertise in statistical modeling, machine learning algorithms, and AI techniques.
• Proficiency with programming languages such as Python and R, and experience with data manipulation libraries (e.g., pandas, NumPy).
• Extensive experience with AI/ML frameworks like TensorFlow, PyTorch, scikit-learn.
• Strong knowledge of big data technologies (e.g., Hadoop, Spark) and data warehousing solutions.
• Advanced knowledge of AWS services (Athena, S3, Glue, SageMaker, Comprehend).
• Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow).

Responsibilities:

• Leverage technical expertise and business acumen to collaborate with senior stakeholders.
• Ensure the Data Science team has necessary skills and resources to solve client data challenges.
• Oversee a team of full-time employees and consultants supporting government clients.
• Plan and direct operational policies, objectives, and initiatives.
• Develop strategies and drive actions to meet financial and operational goals.
• Monitor financial and operational metrics to achieve objectives.