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Director of Data Science Consulting

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

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Experience Level

Senior Level Manager

Qualifications

Qualifications:Over 15 years of professional experience in Data Science, Applied Machine Learning, or Advanced Analytics, with significant leadership experience. Proficient in developing traditional ML models; familiar with ML frameworks such as Scikit-learn, TensorFlow, and Keras. Extensive hands-on experience with Python, SQL, and statistical modeling. Knowledgeable about data orchestration and workflow management (Airflow, Git-based CI/CD, Fivetran). Deep understanding of cloud-native data and ML platforms (AWS, GCP, Azure). Exceptional communication skills, capable of influencing stakeholders at the Director level and above. Adept at identifying and executing improvements to analytics workflows and processes to boost efficiency and effectiveness. Ensure compliance of all analytical activities with guidelines, regulatory requirements, and industry standards. Ability to engage with executive/VP-level stakeholders to translate business challenges into high-level analytical solution strategies. A solid grasp of statistical and machine learning algorithms is advantageous.

About the job

Tiger Analytics is a leading analytics consulting firm, recognized as a trusted partner for numerous Fortune 100 companies. We empower our clients to unlock business value through data-driven insights. Our team is composed of experts in Data Science, Machine Learning, and Artificial Intelligence, and our contributions have been acknowledged by esteemed market research organizations like Forrester and Gartner.

We are seeking a dynamic Director of Data Science to spearhead impactful applied machine learning and analytics initiatives. This role is pivotal, blending profound technical knowledge with rigorous experimentation and business acumen to shape product strategies and deliver measurable results at scale.

Key Responsibilities:

  • Lead comprehensive data science projects from initial problem identification through to production and measurement of impact.
  • Develop and optimize statistical and machine learning models for personalization, recommendations, growth enhancement, fraud detection, and experimentation platforms.
  • Collaborate closely with Product, Engineering, Marketing, and Leadership teams to establish success metrics, navigate trade-offs, and create strategic roadmaps.
  • Design and maintain robust production ML pipelines utilizing Python, SQL, Airflow, and contemporary data tools.
  • Engage with client stakeholders to convert business requirements into high-level analytical solution frameworks.
  • Articulate insights and solutions to business leaders, clearly demonstrating their impact and value.
  • Oversee analytics projects and coordinate efforts between global client teams and Tiger Analytics.
  • Facilitate requirement discussions and manage the planning, development, and documentation of data science and AI solutions.
  • Work in partnership with technical teams to choose suitable analytical methods and derive actionable insights.
  • Communicate outcomes to senior leadership and aid in the implementation of analytics solutions.

About Tiger Analytics

Tiger Analytics is a premier analytics consultancy dedicated to delivering actionable insights to Fortune 100 companies. Our experienced team leverages advanced data science, machine learning, and AI techniques to transform data into strategic assets that drive business growth.

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