Data Science Leader

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

Job summary

An advanced analytics consulting firm is seeking a Senior Manager / Associate Director of Data Science to lead high-impact initiatives. The ideal candidate will possess 12-15 years of experience in Data Science and Applied ML, with strong expertise in Python and statistical modeling. You will manage end-to-end data science projects, drive collaboration with product and engineering teams, and present insights to senior leadership. This is an opportunity to work in a fast-growing environment with significant career development potential.

Qualifications

• 12 - 15 years of professional experience in Data Science or Applied ML.
• Strong hands-on expertise in Python and statistical modeling.
• Excellent communication skills to influence stakeholders.

Responsibilities

• Drive end-to-end data science workstreams from definition to production.
• Build statistical and ML models for personalization and recommendations.
• Collaborate with Product and Engineering to define success metrics.

Skills

Experience in Data Science

Python

SQL

Statistical modeling

Machine Learning frameworks

Communication skills

Education

Bachelor's in Business Analytics or equivalent

Tools

Scikit-learn

Tensorflow

Keras

Airflow

AWS

GCP

Azure

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 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.

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 Scikit‑learn, 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.