Tiger Analytics

Delivers Data and AI transformation

Data Science Leader

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeCalifornia City, CA, USANo salary listedIn-person

About the Job

Requirements

12–15 years of professional experience in Data Science, Applied Machine Learning, or Advanced Analytics, with leadership at scale.
Experience working on traditional machine-learning models and knowledge of machine-learning frameworks such as scikit-learn, TensorFlow, and Keras.
Hands-on expertise in Python, SQL, and statistical modeling.
Familiarity with data orchestration and workflows, including Airflow, Git-based continuous integration and continuous delivery, and Fivetran.
Strong understanding of cloud-native data and machine-learning platforms, including AWS, GCP, or Azure.
Ability to communicate effectively and influence Director-level and above stakeholders.
Ability to identify and implement improvements to analytics workflows and processes to enhance efficiency and effectiveness.
Ability to ensure analytical activities adhere to guidelines, regulatory requirements, and industry standards.
Ability to engage with executive- and vice president-level client stakeholders to translate business problems into high-level analytics solution approaches.
Bachelor's degree in Business Analytics or equivalent work experience.

Responsibilities

Own and drive end-to-end data science workstreams from problem definition through production and impact measurement.
Build and scale statistical and machine-learning models for personalization, recommendations, growth optimization, fraud, and experimentation platforms.
Partner with Product, Engineering, Marketing, and Leadership to define success metrics, trade-offs, and roadmaps.
Design and maintain production machine-learning 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 requirements discussions and oversee planning, development, and documentation of data science and artificial intelligence 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.

Desired Qualifications

A solid understanding of statistical and machine-learning algorithms.

Data Science Leader

Tiger Analytics Inc. · California City, United States · Full-time · Posted 2026-04-09

Workplace: on_site

Department: Data Science

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 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.
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.

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.

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About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: San Jose, CA
Founded: 2010

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