Senior Data Scientist

About Us:

Sojern is the leading AI-powered marketing platform built for hospitality, designed to boost growth and profitability for the travel industry. The Sojern marketing platform is a set of easy-to-use software and services that delivers unrivaled traveler insight, intelligent audiences, multichannel activation and optimization, and a connected guest experience—all in one place. More than 10,000 travel marketers rely on our platform annually to find, attract, convert and engage travelers. Sojern, founded in 2007 and acquired by RateGain in 2025, is headquartered in San Francisco, California with teams in the Americas, Europe, Middle East and Africa, and Asia Pacific. 

The Team:

The Data Scientist team within Sojern’s Science and Optimization group drives measurable impact on customer KPIs through experimentation, measurement, and analytics. Leveraging state-of-the-art causal inference, predictive modeling, and advanced scientific methods, the team continuously enhance the performance, delivery, and efficiency of Sojern’s AI-powered marketing products. 

The Role:

We are seeking a Senior Data Scientist with strong analytical rigor and data-driven mindset. This role will collaborate closely with Product Managers, Software Engineers, Marketing Analysts, and Applied Scientists to influence the product roadmap and deliver measurable results for thousands of Sojern’s clients. The ideal candidate is proficient in statistical concepts and either in causal inference or predictive modeling, with strong skills in SQL and Python, and can independently make data-informed decisions and drive projects to completion

What you will do:

• Collaborate across functional teams, including Product Managers, Software Engineers, Analysts, and Scientists to enhance the performance, delivery, and efficiency of Sojern’s AI-driven marketing products. 
• Lead scientific domain in experimentation projects from scoping, test design, implementation, measurement, and insights delivery. 
• Apply statistical analysis, hypothesis testing, quasi-experimental techniques to rigorously evaluate experiments  and draw actionable and data-driven conclusions. 
• Use advanced scientific techniques e.g. Bayesian inferences, predictive modeling, optimization  to identify trends and develop algorithms that optimize bidding strategies across marketing channels. 
• Collaborate with engineers to deploy models  in product and with analysts to embed insights into strategic decision-making. 
• Communicate findings and recommendations to both technical and non-technical stakeholders, enabling faster and more informed decision-making.
• Identify opportunities to improve methodologies and processes as well as develop scalable solutions that drive impact, e.g. productionize modeling codes, build recyclable reporting templates. 
• Contribute to data-driven product roadmap and scientific project prioritization.  
• Train and mentor analyst members on scientific methodologies as needed to support team growth. 
• Note: Daily responsibilities will vary depending on project type, including causal inference experiments or predictive modeling initiatives.

You will bring:

• Strong problem-solving and analytical skills to understand business problems, develop hypotheses, work with large datasets, and apply appropriate methodologies to drive data-informed decisions.
• Intermediate/advanced proficiency level in analytical tools and techniques:
• SQL expertise for data collect, process, and analysis to identify trends and patterns.
• Python proficiency (e.g. pandas, statsmodels, sklearn, numpy, scipy, and other related libraries/packages) for data visualization, data analysis, and statistical modeling. 
• Spreadsheet usage (e.g. Microsoft Excel, Google Sheets), including pivot function and complex formulas. 
• 2+ years of experience as a data scientist, ideally within the advertising technology ecosystem.
• Strong understanding of statistical concepts, measurement methods, and causal inference techniques e.g. randomized control trials, difference-in-differences, synthetic control modeling, time-series forecasting, hierarchical Bayesian, linear/nonlinear regression. 
• Effective verbal and written communication skills to collaborate across-functionally and present insights to  technical and non-technical audiences, influencing product roadmaps. 
• Curiosity and initiative with a mindset of asking “why”, and propose ideas that drive incremental impact.
• Ability to collaborate across time-zones and adjust priorities as needed.  
• Attention to detail to ensure high quality of delivery in analytical tasks, documentations, and business requirement gathering.
• MS or PhD in a quantitative discipline (e.g. Economics, Statistics, Data Science, Applied Mathematics, Computer Science, Operations Research).
• Preferred: knowledge of digital marketing (e.g. paid media, targeting, attribution, impression, CPM, click through rate) and experience with Tableau or other visualization software. 

What we have for you:

• Opportunities: Be part of a growing team with training and support to help you grow
• Ownership: Lead creative and challenging projects
• Give Back: We give 20 hours a year to volunteer and organize office volunteer programs with local organizations
• Culture: Strong core business values, focus on teamwork, vibrant, social and fun environment
• Competitive Localized Benefits
• Time Off: Flexible vacation days

Our Sojernista First workplace philosophy is designed to take a flexible approach, recognizing that the needs of our employees may differ depending on their role, team, or location. What does not differ is our focus on building genuine connections, increasing global collaboration, and providing programs, tools and resources centered around the needs and wellbeing of our employees, regardless if you are working in an office, hybrid, or fully remote.

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