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Associate Director of Data Science

Tiger AnalyticsCalifornia City, California, United States
On-site Full-time

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Experience Level

Senior Level Manager

Qualifications

Qualifications:12-15 years of professional experience in Data Science, Applied Machine Learning, or Advanced Analytics, with demonstrated leadership capabilities. Extensive experience in traditional ML models and familiarity with frameworks such as Scikit-learn, TensorFlow, and Keras. Strong hands-on proficiency in Python, SQL, and statistical modeling techniques. Knowledge of data orchestration and workflows (Airflow, Git-based CI/CD, Fivetran). Deep understanding of cloud-native data and machine learning platforms (AWS, GCP, Azure). Exceptional communication skills with the ability to effectively influence stakeholders at the Director level and above. Proven track record of identifying and implementing enhancements to analytics workflows and processes for improved efficiency. Commitment to ensuring adherence to guidelines, regulatory requirements, and industry standards across all analytical activities. Ability to engage with executive and VP-level stakeholders to translate complex business problems into high-level analytical solutions. Strong foundation in statistical and machine learning methodologies.

About the job

Tiger Analytics is a premier advanced analytics consulting firm recognized as a trusted partner to numerous Fortune 100 companies, empowering them to unlock significant business value from their data. Our team of consultants boasts extensive expertise in Data Science, Machine Learning, and Artificial Intelligence, with our leadership acknowledged by prominent market research firms including Forrester and Gartner.

We are seeking a dynamic Associate Director or Senior Manager of Data Science to spearhead transformative applied machine learning and analytics initiatives. This pivotal role merges profound technical acumen, rigorous experimentation, and strategic business leadership to shape product direction and achieve substantial outcomes at scale.

Key Responsibilities:

  • Lead and oversee comprehensive data science workstreams from problem definition through to production deployment and impact analysis.
  • Develop and scale advanced statistical and machine learning models for personalization, recommendations, growth optimization, fraud detection, and experimentation platforms.
  • Collaborate closely with Product, Engineering, Marketing, and Leadership teams to establish success metrics, navigate trade-offs, and outline roadmaps.
  • Design and sustain production-grade ML pipelines utilizing Python, SQL, Airflow, and contemporary data tools.
  • Engage with client stakeholders to translate business needs into sophisticated analytical solution designs.
  • Present insights and solutions to business leaders, showcasing measurable impact and value.
  • Manage analytics projects and coordinate efforts with global client and Tiger teams.
  • Lead requirement discussions and supervise the planning, development, and documentation of data science and AI solutions.
  • Work alongside technical teams to determine suitable analytical methods and derive actionable insights.
  • Effectively communicate results to senior leadership, facilitating the operationalization of analytics solutions.

About Tiger Analytics

Tiger Analytics stands at the forefront of the analytics consulting industry, leveraging advanced analytical techniques to help Fortune 100 companies thrive. With a strong reputation for delivering actionable insights and innovative solutions, we are committed to fostering a data-driven culture that maximizes business success.

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