SIGN IN
Principal Data Scientist, Marketing & Personalization jobs in United States
cer-icon
Apply on Employer Site
company-logo

GamblingCareers.com · 6 days ago

Principal Data Scientist, Marketing & Personalization

Fanatics Commerce is a leader in licensed sports merchandise, seeking a Principal Data Scientist to drive Marketing Data Science. This role involves leading complex data science initiatives, developing advanced statistical models, and collaborating with cross-functional teams to enhance marketing effectiveness and customer engagement.
Casino

Responsibilities

Own and drive the marketing data science strategy across lifecycle optimization, customer engagement, retention, personalization, and marketing spend efficiency
Lead large-scale, complex data science initiatives end-to-end, taking full ownership from problem framing through deployment, measurement, and delivery of measurable business outcomes
Develop advanced statistical models and ML systems to improve targeting, bidding, segmentation, fan engagement, and customer experience
Act as a strategic thought partner to senior marketing and product leaders, shaping priorities, guiding strategy, and influencing business decisions with data
Advance analytical and ML capabilities by exploring new methodologies and contributing reusable tools, frameworks, and documentation that improve consistency and productivity
Establish and uphold best practices for modeling, experimentation, causal inference, and architecture to ensure scientific rigor and scalability across marketing use cases
Provide technical mentorship and raise the bar for data science quality through design discussions, model reviews, and best-practice sharing
Drive cross-organizational alignment by communicating insights clearly and persuasively to technical and non-technical audiences, including executives
Partner closely with Engineering, CRM, Digital Marketing, Data Engineering, and ML Engineering to guide data architecture, feature design, and deployment patterns that improve marketing performance
Bring structure and clarity to ambiguous business problems while balancing strategic and operational priorities to maximize business impact and organizational effectiveness

Qualification

Marketing data scienceMachine learningStatistical modelingData architecturePythonCommunication skillsIntellectual curiosityLeadershipStrategic thinking

Required

BS or higher in a technical or quantitative field (Computer Science, Operations Research, Statistics, Economics, etc.)
7+ years of hands-on experience in marketing data science or related disciplines
Demonstrated expertise in marketing science use cases (propensity modeling, segmentation, LTV, incrementality, bidding, attribution, personalization, etc.)
Strong proficiency in applied statistics and ML, with experience deploying models into production environments
Excellent communication skills with the ability to influence technical and non-technical audiences, including executives
Proven ability to lead complex analytical initiatives independently

Preferred

10+ years of overall experience in advanced analytics, machine learning, or data science
Proven ability to set technical direction, raise modeling quality, and elevate scientific rigor without formal authority
Strong ownership mindset, intellectual curiosity, and comfort navigating ambiguity
Proven track record of driving measurable business outcomes through data science
Expertise in at least one statistical software environment (Python, R, etc.)
Experience partnering with cross-functional teams across Marketing, Product, Engineering, CRM, and Design
Strategic thinker with a customer-first mindset and the ability to frame trade-offs and recommendations clearly

Benefits

Wellness programs with fitness and weight management partners
Paid maternity paternity leave
Infertility treatment
Flexible time off
Competitive 401k plan

Company

GamblingCareers.com

twittertwittertwitter
company-logo
GamblingCareers.com is the leading job board for the iGaming and Online Gambling industry, dedicated to bridging the gap between talented job seekers and top employers in the sector.

Funding

Current Stage
Early Stage
Company data provided by crunchbase