We are looking for an Associate Director / Senior Manager 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.
- Ability 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.
- Bachelor's in Business Analytics or equivalent work experience.
BenefitsSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
