Data Science Leader

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a Senior Manager / Associate Director of Data Science to lead high-impact applied ML and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.

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.
• Ensure all analytical activities adhere to guidelines, regulatory requirements, and industry standards.