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# Data Science Leader

- **Company:** Tiger Analytics
- **Location:** California City, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Python (Programming Language), Machine Learning, Cloud Services, Tensorflow, Azure Machine Learning, SQL Databases, Google Cloud, Keras, Git, Machine Learning Operations, Data Pipelines
- **Published:** October 22, 2026
- **Apply:** https://www.thejobnetwork.com/job/513e766e-8857-486d-b61b-b1fb68b2d68b/data-science-leader

## About the Role

* 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.

## Description

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., * 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.