Director of Data Science - Pricing, Lead Scoring & Personalization

Location: San Francisco (Remote Eligible)

Salary: $230-260k base + equity

We are looking for a Director of Data Science to lead a high-impact team focused on pricing optimization, lead scoring, and customer personalization for a rapidly growing travel platform backed by top investors. This role is ideal for a data science leader who can define strategy, develop predictive models, and drive measurable business impact through advanced analytics and machine learning.

Key Responsibilities:

Lead and scale a high-performing team of data scientists and analysts, fostering a culture of experimentation, collaboration, and innovation.
Develop dynamic pricing models that optimize revenue, improve conversion rates, and enhance market competitiveness.
Enhance lead scoring and customer personalization by building predictive models that identify high-value leads, optimize sales funnels, and improve user experiences.
Design and analyze A/B tests, causal inference models, and other experimentation techniques to measure and optimize product, marketing, and operational decisions.
Establish frameworks for data quality, governance, and self-service analytics to ensure consistency and accessibility across the company.
Collaborate with Product, Finance, Marketing, Sales, and Operations to define key business metrics, analyze performance, and provide strategic recommendations to executive leadership.

Qualifications:

10+ years of experience in data science or analytics, including at least 5 years in leadership roles.
Expertise in predictive modeling, dynamic pricing, and lead scoring using machine learning and statistical methods.
Strong experience with SQL, Python, R, and BI tools such as Looker, Tableau, or Sigma.
Proven ability to translate data insights into business strategy and influence executive stakeholders.
Deep knowledge of A/B testing, experimentation, and customer segmentation.
Industry experience in B2B SaaS or travel is a strong plus.
Bachelor's degree in a technical field required; Master's or MBA preferred.

This is an opportunity to shape the data science strategy at a fast-growing company, driving decisions that will transform pricing, customer engagement, and business growth.

Harnham

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