Associate Director - Data Science

Tiger Analytics, LLC; California City (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

Tiger Analytics, LLC is seeking an Associate Director / Senior Manager of Data Science to lead high-impact applied ML and analytics initiatives. The role demands a blend of technical expertise and business leadership, driving the development of scalable ML models. With 12-15 years of experience required, the ideal candidate will work closely with cross-functional teams and present insights to senior stakeholders. This position also entails significant career development opportunities in a dynamic, entrepreneurial environment.

Qualifications

• 12 - 15 years of experience in Data Science, Applied ML, or Advanced Analytics with leadership.
• Experience working on traditional ML Models and knowledge of ML frameworks.
• Hands-on expertise in Python and SQL.

Responsibilities

• Lead end-to-end data science workstreams from problem to impact measurement.
• Build and scale ML models for personalization and optimization.
• Collaborate with product, engineering, and leadership teams.

Skills

Data Science

Machine Learning

Python

SQL

Statistical Modeling

Cloud platforms (AWS, GCP, Azure)

Communication

ML Frameworks (Scikit-learn, TensorFlow, Keras)

Data orchestration (Airflow, Fivetran)

Education

Bachelor's in Business Analytics or equivalent work experience

Job description

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 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.

Qualifications

• 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.

Significant 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.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.