My client is seeking an exceptional Senior Sportsbook Data Science Engineer to lead advanced modeling initiatives that power user profiling, risk control, and personalized gaming experiences across their rapidly expanding Sportsbook and iGaming ecosystem. This position is a senior, high-impact role offering full ownership of model strategy, hands-on development, and leadership of data science best practices. You will build and deploy machine learning models that directly influence product innovation, risk management, and operational effectiveness. Key Responsibilities Modeling Leadership & Roadmap Ownership Own the end-to-end modeling roadmap for Sportsbook and iGaming user profiling, ensuring full alignment with business priorities, compliance needs, and risk strategy. Architect scalable ML pipelines for feature engineering, model training, deployment, and monitoring in production environments. Develop robust user segmentation and classification frameworks based on behavioral, transactional, and betting activity signals. Translate model insights into actionable strategy recommendations for cross-functional teams including Product, Risk, Marketing, and Operations. Mentor and support junior data scientists/ML engineers, driving excellence in experimentation, deployment processes, and model governance. 1. User Risk Control & CCF Modeling Build predictive models for user risk control coefficients (CCF) using behavioral, financial, and wagering-related data features. Automate the assignment of CCF risk tiers and design differentiated risk-control strategies per user segment. Continuously track model performance, detect drift, and optimize outcomes to support safer gaming, regulatory compliance, and risk-aware decision making. 2. Betting & Gaming Behavior Prediction / Personalization Develop predictive models for user behavior, including betting propensity, churn risk, gameplay depth, and long-term value forecasting. Build recommendation systems to personalize game/bet suggestions, promotions, and product experiences across Sportsbook and iGaming channels. Optimize personalization frameworks to drive engagement, retention, and user lifetime value. Qualifications 5+ years of hands-on machine learning/modeling experience in the Sportsbook or iGaming industry, with a proven track record of delivering production ML solutions. Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or a related quantitative field. Expert proficiency in Python and SQL, including data wrangling, feature engineering, model building, and evaluation. Deep knowledge of ML methods for classification, scoring, segmentation, recommendations, and behavior prediction. Demonstrated experience deploying models into production, with strong understanding of monitoring, drift detection, and feedback loops. Excellent communication skills with the ability to convey complex modeling results to non-technical stakeholders.

My client is transforming customer service across gaming and sports through industry-specific AI, partnering with major operators to deliver intelligent automation that elevates  player experience and drives operational efficiency. As they expand their global delivery footprint, my client is seeking a Senior Product Manager to anchor U.S. product operations and help translate vision into execution for their next-generation AI platform. The Role This is a hands-on, delivery-focused product leadership position based in the New York / New Jersey area (hybrid model, minimum three days in office). You will coordinate roadmap execution across distributed AI and engineering teams, ensure alignment and quality, and help convert founder-level strategy into tangible product outcomes. Working closely with senior leadership and global engineering teams (US, UK, APAC), you’ll drive prioritization, execution, and release readiness for complex AI-driven products. Key Responsibilities Translate strategy into execution: Convert leadership vision into quarterly plans, milestones, and measurable outcomes. Own roadmap delivery: Manage backlogs, sprint priorities, and release schedules across multi-timezone teams. Champion product quality: Collaborate with QA and Engineering to meet AI accuracy, reliability, and UX standards. Monitor AI performance: Partner with Evals/QA teams to track hallucination incidents and model consistency. Stay customer-aligned: Work with Customer Success and POC teams to integrate customer insights into product decisions. Drive impact with data: Use performance metrics and AI evaluation data to influence roadmap and prioritization. Run discovery sprints: Validate new features, integrations, and AI enhancements through structured research and testing. Report clearly: Provide concise, structured delivery updates and surface risks or trade-offs to leadership. About You A structured, execution-focused product leader who thrives in fast-moving environments and is passionate about building scalable AI-driven products. Requirements 5+ years of Product Management experience (SaaS, gaming, AI, or related tech). Strong background in agile delivery and cross-functional collaboration. Experience working with distributed engineering teams across time zones. Familiarity with QA processes and AI evaluation frameworks. Data-driven mindset with the ability to translate metrics into product decisions. Excellent communication and stakeholder-management skills. Bonus Skills Experience with CRM, customer service, or messaging-platform integrations. Interest in iGaming, sports, or AI innovation. Why Join? Influence the next generation of AI-powered customer engagement in gaming and sports. Collaborate with global teams across the US, UK, and APAC. Work directly with founders and senior technical leaders driving real AI innovation. Competitive compensation, performance incentives, and potential equity participation.

My client, a leading global iGaming platform, is seeking an experienced Mid-level iGaming Community Specialist to build, manage, and optimize a thriving player community. This is a fantastic opportunity to join a fast-paced, innovative environment and play a key role in shaping community engagement and brand reputation. Key Responsibilities Community Strategy & Setup: Develop and implement community operations strategy. Build an iGaming player community from scratch, promote engagement activities, and analyze data to boost user activity. Public Opinion Management: Monitor social media sentiment, address negative reviews promptly, and leverage community influence to maintain a positive brand image. User Interaction & Support: Respond to player inquiries, mediate conflicts, and maintain a welcoming atmosphere. Utilize AI tools for efficient automated responses. Content Creation & Distribution: Produce engaging, trend-driven content across platforms (Discord, Telegram, X, Reddit, blogs, short videos) and encourage user-generated content. Data Analysis & Optimization: Track performance using tools like Google Analytics and Hootsuite, prepare monthly reports, and recommend improvements. Compliance & Risk Management: Ensure adherence to global iGaming regulations, mitigate risks, and uphold KYC/AML standards. Requirements Education: Bachelor’s degree in Marketing, Communications, Digital Media, or related field. Experience: 3+ years in community operations, with at least 1 year in iGaming or online entertainment. Proven success managing communities of 10,000+ users. Skills: Expertise in social platforms (Discord, Telegram, X, Reddit) and efficiency tools. Strong communication and crisis management skills. Deep understanding of American internet pop culture and iGaming trends. Knowledge of iGaming regulations and compliance processes. Personal Attributes: Player-focused mindset, adaptability, and enthusiasm for innovation. Passion for iGaming culture and familiarity with popular games (sports betting, slots, esports). Why Join? Work with a global leader in iGaming. Drive community growth and brand reputation in a dynamic industry. Competitive salary and benefits package.