Director of Marketing Science & BI - iGaming - Hybrid in Philadelphia .
$165-175k + bonus, 401k, health, dental, vision and more
Hybrid job
Marketing, Data industry
North America
Job ref37772
Post DateJuly 30, 2025
My client is a managed services business that focuses on long-term deeply embedded consulting engagements in the North American online gambling industry. The Director of Marketing Science and Business Intelligence will be a key position within the broader team, and will be responsible for leading day-to-day data efforts for North American clients while driving business insights and providing recommendations that drive cross-departmental KPIs.
Role Summary:
We are seeking someone who has natural curiosity and is driven by a passion for uncovering insights that drive business decisions. The ideal candidate will be self-motivated and possess exceptional critical thinking skills, keen attention to detail, and have a relentless desire to continuously learn and grow. This is a client-facing role that requires a polished communicator who can build trust with senior stakeholders and translate complex data into compelling, actionable narratives. In this role, you will work closely with stakeholders while analyzing complex data sets and developing actionable insights. You will also partner with the GM of North America to help create a data driven culture across the company.
As a Marketing Scientist, you will own media mix modeling and attribution to optimize marketing spend and effectiveness. You will stay up to date with industry best practices, especially as data privacy evolves, ensuring compliance and innovation in Apple App Tracking & Transparency (ATT) and mobile attribution. Additionally, you will provide data-driven recommendations to maximize Return on Ad Spend (ROAS) and collaborate with CRM teams to maximize player Lifetime Value (LTV) and minimize customer churn.
Essential Duties & Responsibilities:
Role Summary:
We are seeking someone who has natural curiosity and is driven by a passion for uncovering insights that drive business decisions. The ideal candidate will be self-motivated and possess exceptional critical thinking skills, keen attention to detail, and have a relentless desire to continuously learn and grow. This is a client-facing role that requires a polished communicator who can build trust with senior stakeholders and translate complex data into compelling, actionable narratives. In this role, you will work closely with stakeholders while analyzing complex data sets and developing actionable insights. You will also partner with the GM of North America to help create a data driven culture across the company.
As a Marketing Scientist, you will own media mix modeling and attribution to optimize marketing spend and effectiveness. You will stay up to date with industry best practices, especially as data privacy evolves, ensuring compliance and innovation in Apple App Tracking & Transparency (ATT) and mobile attribution. Additionally, you will provide data-driven recommendations to maximize Return on Ad Spend (ROAS) and collaborate with CRM teams to maximize player Lifetime Value (LTV) and minimize customer churn.
Essential Duties & Responsibilities:
- Act as the primary analytics liaison for client stakeholders, translating business needs into analytical solutions and presenting insights with professionalism and clarity.
- Lead and own weekly and monthly business review presentations, delivering detailed analysis of business performance across marketing, operations & product. As well as providing actionable insights to drive strategic decision-making.
- Build and maintain data models using database tools (DBT).
- Create and maintain dashboards and reports for both internal and external stakeholders to monitor performance and provide actionable insights to stakeholders.
- Ensure strong data governance practices around data quality and integrity by establishing and enforcing best practices for data collection, processing, and analysis.
- Proven track record of delivering high-stakes presentations to executive teams or clients.
- Develop, implement, and optimize multi-touch attribution models to accurately measure the effectiveness of various marketing channels.
- Design and execute media mix modeling to inform budget allocation and maximize ROI across all marketing channels.
- Analyze user data and build and/or maintain various models such as player cohorting, lifetime value, and others.
- Collaborate with marketing, operations, and product teams to understand business objectives and translate them into data-driven strategies.
- Analyze large datasets to uncover trends, patterns, and insights that drive strategic marketing decisions.
- Stay updated with the latest trends and advancements in data science, analytics, and marketing technology.
- Present findings and recommendations to senior leadership and other stakeholders in a clear and concise manner.
- Own the analytics project lifecycle, from scoping through delivery and iteration.
- Drive the development and implementation of new predictive models and machine learning algorithms to enhance marketing efforts.
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer
- Science, Marketing, or a related field.
- 6-10 years of experience in analytics or data science role.
- Meticulous attention to detail and a passion for delivering accurate, reliable data outputs.
- Strong proficiency in working with data warehouses with high degree of comfort writing
- SQL and building analytics
- Strong proficiency in statistical analysis, data mining, and predictive modeling techniques (Python or R).
- Experience developing data pipelines in DBT.
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication skills with the ability to present complex information to non-technical stakeholders.
- Ability to work collaboratively in a fast-paced, dynamic environment.
- Experience with digital marketing platforms (Google Analytics, Facebook Ads, etc.) and understanding of various marketing channels (search, display, social, TV, OOH).
Preferred Experience:
- At least 3 years of experience leading data teams and developing data strategy and roadmap.
- Experience conducting multi-touch attribution and media mix modeling.
- Experience using machine learning techniques to build eLTV models.
- Experience working for a mobile app or Direct to Consumer brand.
- Familiarity and experience with attribution reporting in a post Apple’s ATT ecosystem.
Robert Gray
VP, Americas
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