Data Science Leader
SalaryNo pay range posted
LocationCalifornia City, California, United States
Typefull-time
SeniorityDirector
Experience12–15 yrs
DepartmentData Science
Company size5,001–10,000 people
PostedApr 9, 2026 · 6mo ago
Verified live23h ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Python
SQL
Airflow
Scikitlearn
Tensorflow
Keras
Git
CI/CD
Fivetran
AWS
GCP
Azure
Benefits
Career development
About the company
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.
About the role
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.
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.
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Manage analytics projects and coordinate with global client and Tiger teams.
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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.
Benefits
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.