Associate Director - Data Science

Responsibilities

• Own and drive end-to-end data science workstreams from problem definition to production and impact measurement
• Build and scale statistical and ML models for personalization, recommendations, growth optimization, fraud, and experimentation platforms
• Partner closely with Product, Engineering, Marketing, and Leadership to define success metrics, trade-offs, and roadmaps
• Design and maintain production ML pipelines using Python, SQL, Airflow, and modern data tooling
• Collaborate with client stakeholders to translate business needs into high-level analytical solution designs
• Present insights and solutions to business leaders, demonstrating impact and value
• Manage analytics projects and coordinate with global client and Tiger teams
• Lead requirement discussions, and oversee planning, development, and documentation of DS/AI solutions
• Partner with technical teams to select appropriate analytical methods and generate actionable insights
• Communicate results to senior leadership and support the operationalization of analytics solutions

Requirements

• 12 - 15 years of professional experience in Data Science, Applied ML, or Advanced Analytics, with leadership at scale
• Must have experience working on traditional ML Models
• Knowledge of ML frameworks like Scikitlearn, Tensorflow, and Keras
• Strong hands-on expertise in Python, SQL, and statistical modeling
• Familiarity with data orchestration and workflows (Airflow, Git-based CI/CD, Fivetran)
• Strong understanding of cloud-native data and ML platforms (AWS, GCP, Azure)
• Excellent communication skills with the ability to influence Director+ stakeholders
• Identify and implement improvements to analytics workflows and processes to enhance efficiency and effectiveness
• Able to ensure all analytical activities adhere to guidelines, regulatory requirements, and industry standards
• Able to engage with executive/VP-level stakeholders from the client's team to translate business problems into high-level analytics solution approaches
• A solid understanding of statistical and machine-learning algorithms is a plus