Data Science Leader
Tiger Analytics Inc. Open · verified Oct 24, 2026 At a glance
Mid-level Data Science role at Tiger Analytics Inc. California City · full-time · no salary stated · we estimate $115,300–$175,500 across the United States.
Tiger Analytics Inc. has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Take data science projects from framing the business problem through deployment and measurement of results
- Build statistical and machine-learning models for personalization, recommendations, growth, fraud and experimentation
- Set success measures and roadmaps with product, engineering, marketing and leadership partners
- Design production ML pipelines with Python, SQL, Airflow and other modern data tools
- Guide client discussions, solution planning and delivery, then present findings and impact to senior leaders
What you bring
- You have twelve to fifteen years in data science, applied machine learning or advanced analytics, including leadership at scale
- You have hands-on Python, SQL and statistical modeling skills, plus experience building traditional machine-learning models
- You hold a business analytics bachelor's degree or bring equivalent work experience
- You can explain analytical approaches and influence director-level or more senior stakeholders
Who this fits
This is a senior data science leadership role suited to someone who can combine hands-on modeling with project direction and client-facing work. The position is onsite in California City.
From the employer
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.
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.