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:   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. Education, Qualifications & Experience:   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.

My client are seeking a sharp, data-driven, and hands-on CRM Manager to take ownership of their player lifecycle strategy across the Sweepstakes vertical, with a laser focus on high-value players, US audience behavior, and ROI-positive retention tactics. You will work cross-functionally with product, design, data, and VIP teams to shape lifecycle journeys that retain, reactivate, and grows the most valuable user segments. The ideal candidate brings expertise with CRM automation tools like Optimove or similar, understands bonus management from a profitability standpoint, and thrives in a test-and-learn environment. What You'll Do Lifecycle & Retention Strategy Own and execute the end-to-end CRM calendar for the sweepstakes casinos. Create segmented player journeys focusing on high-value user activation, retention, and reactivation. Develop and maintain trigger-based and behaviour-led automations in Optimove. Player & Market Understanding Use data insights to personalize campaigns based on US sweepstakes player behavior and lifecycle stage. Build deep knowledge of sweepstakes players’ motivations and use it to shape promotions and communications. Bonus & Campaign Management Own bonus configuration and testing to ensure promotions are engaging but margin-conscious. Track bonus ROI, churn rates, and impact on re-engagement KPIs. Run A/B tests across offers, journeys, and creative assets. Automation & Tooling Drive CRM automation strategy, improving retention efficiency while reducing manual work. Optimize the use of Optimove, exploring new features and integrations with other marketing tech. Collaboration & Stakeholder Management Work closely with VIP, product, and support teams to align CRM strategy with broader goals. Align promotional calendar with cross-functional campaigns, game launches, and market pushes. Who You Are 3+ years of CRM experience in iGaming or sweepstakes (social casino is a strong plus). Experience with Optimove (or similar platforms like FastTrack, Salesforce, Emarsys, etc.). Strong understanding of bonus mechanics and how to structure offers with positive ROI. Data-savvy: confident using segment builder, dashboards, and campaign analytics. Highly organized and methodical: you build scalable workflows and document your processes. Strong grasp of US player preferences and legal/compliance context for sweepstakes. Curious and proactive: you test, iterate, and always ask “why.”

Our client is a pioneering company at the forefront of the gaming industry, bridging the authentic excitement of land-based casinos with the convenience of online access. Their award-winning products enable players to access their favorite physical slot machines and electronic table games (ETGs) from anywhere, anytime, through modular design, real camera views, sound captures, and a cutting-edge interface. The team is committed to delivering innovative technology that connects the physical and digital gaming worlds. Role Overview We are seeking a talented Tier 2 Support Engineer based in New Jersey to join a dynamic team. This is a remote position with an expectation of one office visit per month. The ideal candidate will provide technical support to casino operators (not end players), troubleshoot and resolve issues, and contribute to system setup and configuration. Responsibilities Provide prompt and effective technical assistance to customers (casinos) via phone, email, and chat. Troubleshoot and resolve customer issues by analyzing symptoms, diagnosing problems, and offering solutions. Escalate complex or unresolved issues to appropriate internal teams while ensuring timely follow-up and resolution. Educate customers on product functionalities, usage, and best practices. Deliver excellent customer service and ensure satisfactory resolution of technical issues. Lead setup activities, system configurations, and testing. Qualifications Proven experience in quality assurance and technical support roles, preferably in a software or technology company. Knowledge of computer networks and configurations. Familiarity with Linux OS, scripting, and automation is an advantage.