• Compreender as necessidades das áreas de negócio e traduzi-las em **demandas analíticas, hipóteses, requisitos técnicos e planos de execução**. • Desenvolver e implementar **modelos avançados de Machine Learning**, análises preditivas e prescritivas aplicadas a problemas de ativação, engajamento e retenção. • Estruturar **metodologias estatísticas** para análise de comportamento, segmentações, cohorts e acompanhamento de métricas-chave, garantindo consistência, precisão e reprodutibilidade. • Avaliar impacto de campanhas e intervenções de negócio por meio de metodologias de inferência causal e modelos econométricos, incluindo Marketing Mix Modeling (MMM), uplift modeling e abordagens quasi-experimentais (Diff-in-Diffs, Synthetic Control, Propensity Score Matching). • Desenvolver frameworks estatísticos para mensuração de incrementalidade, atribuição de canais e otimização de investimento em marketing, conectando insights analíticos a decisões estratégicas de produto, growth e parcerias. • Interpretar e comunicar informações complexas sobre médicos, pacientes e parceiros, gerando **insights estratégicos** para produto, tecnologia, marketing e áreas corporativas. • Atuar de forma colaborativa com times de **Produto, Engenharia, Marketing e Operações**, transformando dados em recomendações práticas e acionáveis. • Garantir boas práticas de **documentação, versionamento, governança e qualidade dos dados**. • Atuar como **referência técnica**, apoiando na revisão de soluções, definição de padrões analíticos e disseminação de boas práticas em Data Science.

• Develop cutting-edge algorithms for transaction analysis, entity clustering, risk assessment, and pattern recognition • Design address clustering algorithms for UTXO chains with near 100% accuracy • Build and optimize risk scoring models to assess address and entity risk levels • Develop detection systems for illicit activities • Monitor algorithm performance and maintain <1% false positive rate • Conduct root cause analysis and implement improvements • Research graph neural networks for risk propagation

Teamworks, the Operating System for Sports™, powers more than 6,500 sports organizations worldwide, including collegiate athletic departments and teams across all major professional leagues. With almost 500 exceptional employees located in over a dozen different countries, Teamworks’ software solutions drive the operations of the most recognizable sports properties in the world. Teamworks Intelligence, formerly Zelus Analytics, is the sports analytics division of Teamworks, focused on delivering cutting-edge insights to elite teams through advanced data science. We use advanced machine learning to deliver sport-specific predictive models and metrics that inform everything from athlete evaluation and roster construction to contract valuation and game strategy. We're hiring Data Scientists at all levels across multiple sports—including Football, Baseball, Basketball, and Ice Hockey—to help build the next generation of sports intelligence solutions. These roles offer opportunities to work directly with professional and collegiate teams to provide actionable insights and drive innovation in sports intelligence. This is an exciting opportunity to help shape the future of athlete performance management in one of the fastest-growing companies in sports tech. Game Plan - How You'll Drive Impact: Build end-to-end data science solutions involving predictive models, data retrieval, statistical modeling, and productionalization Design and implement sports analytics tools and metrics for athlete evaluation and roster optimization Lead the design and development of complex, high-impact data science tools involving technically complex methodology Contribute to project design decisions, applying standard patterns and best practices Manage tasks and priorities independently, making strategic decisions with appropriate oversight Actively participate in team discussions and engage in cross-functional collaboration with engineering teams Drive conversations with stakeholders to align technical solutions with business objectives Provide technical mentorship and guidance to data scientists, fostering innovation and best practices Contribute to the evolution of Teamworks Intelligence products through deep product knowledge Solve complex, cross-functional problems and navigate high ambiguity situations Engage with sports operations teams to translate complex analytics into actionable insights for elite performance Work with Python, R, and SQL to build comprehensive sports intelligence solutions Player Profile - What You Bring to the Team: The Perks of Playing for Teamworks: At Teamworks, you’re not just joining a company—you’re joining a team that’s shaping the future of sports. We believe that success starts with investing in our people, and here’s how we support and reward every teammate: Play to Win: Grow your career as we grow. Shape the future of sports technology while building a career that scales with your ambition. Winning Culture: Join a global team of high achievers, innovators, and problem solvers who value teamwork and humility. Competitive Compensation: Earn a competitive salary, performance-based incentives, and equity so you share in our success. Comprehensive Benefits: Access region-specific benefits designed to support your well-being, including health coverage, life and disability insurance, retirement plans, unlimited paid time off, flexible and remote work options, catered lunches (where applicable), and more. Investing in Your Growth: Receive stipends for learning and development, home office equipment, and company gear to set you up for success—no matter where you are in the world. Compensation Philosophy: For this role, the salary range is $120,000 to $160,000, with your final offer determined by your experience, skills, and interview performance. We’ve built our compensation framework to attract, retain, and reward top performers. We believe in pay for performance, ensuring that your growth and impact are reflected in your rewards. As Teamworks grows, so do your opportunities—whether that’s through advancing your career, contributing to game-changing innovations, or building long-term financial security. We continuously review and refine our compensation practices to ensure fairness and alignment with both company goals and individual aspirations. We encourage open discussions about career growth and compensation, and your hiring manager is always available to answer your questions. At Teamworks, we’re committed to supporting you in and out of the game—empowering you to do your best work while enjoying meaningful rewards. Inside our Locker Room: Teamworks is the leading operating system for elite sports, empowering organizations worldwide to optimize performance, streamline operations, and unlock athlete potential. Founded in 2006, we’ve grown from a messaging platform for collegiate football into a global leader with over $165 million in funding and a technology suite that supports every phase of the athlete lifecycle. Our solutions span four key categories: Personnel : Manage the complete roster lifecycle, from recruiting and NIL management to financial operations. Performance : Optimize athlete health and training with advanced tools for nutrition, strength & conditioning, and holistic performance tracking. Operations: Streamline logistics, communication, compliance, and inventory management to keep teams running efficiently. Intelligence : Leverage data-driven insights to inform decisions and maximize competitive advantage across professional and collegiate sports. At Teamworks, we’re driven by innovation and a passion for sports. We serve more than 6,500 sports organizations globally, helping teams achieve excellence on and off the field. Join us and be part of the future of sports technology. Our offices are open for work, collaboration, and optional team-building events – but as a remote-first company, we also have teammates working from places across the globe, including New York, London, Perth, and Austin. What to Expect When Interviewing at Teamworks Our interview process is designed to be transparent, engaging, and reflective of our team culture. You can expect authentic conversations, clear steps, and the opportunity to connect with key team members. We encourage you to ask questions and get to know us as much as we get to know you. Learn more about our process here . Teamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics.  This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email hiring@teamworks.com. To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamwork employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.

As the first Unified Growth Platform, Thirdwave empowers blockchain projects with the analytics and insights to understand their customers and the actions that accelerate their growth. We deliver the key infrastructure and tools to enable projects to control their destiny. We connect people to the projects, games, and communities they love. Thirdwave is looking for a highly skilled Data Scientist to join our team. Our ideal candidate is someone with a strong analytical mindset, capable of leading advanced data analytics projects and contributing to the overall data science strategy. You like emerging technologies like Blockchains and are passionate about shaping the industry. What you’ll achieve As a Data Scientist at our startup, you will be pivotal in analyzing billions of blockchain wallets and tens of billions of transactions to derive actionable insights. You will develop and refine both descriptive statistics and predictive models, leveraging your expertise to understand complex blockchain ecosystems and drive data-informed decisions. With significant autonomy, you will have the opportunity to influence our product’s direction and contribute to the company's growth. You’ll Also: Building predictive and descriptive statistical models using financial data, such as Lifetime Value (LTV) Deploying and maintaining models, code, and data pipelines for customer-facing applications Collaborating closely with engineers and product teams to develop models that drive data-driven decisions Enhancing our product offerings and identifying new growth opportunities Optimizing models for performance and cost in distributed data warehouses Conducting data mining on public data to extract actionable insights Managing ETL connectors to ensure seamless data flow across systems Guiding the development of visualizations to present data findings in an intuitive and accessible manner About you Fast learner, self-starter, go-getter, and intellectually curious Strong communicator with the ability to think about data at scale and beyond individual record levels. Passionate about Blockchain and have a fundamental understanding of protocol mechanisms. Comfortable interacting with various APIs, and raw blockchain queries. Minimum Qualifications Preferred Qualifications Prior experience in the blockchain or fintech industries Strong understanding of statistical and machine learning methodologies Ability to work in a fast-paced startup environment and collaborate with cross-functional teams Location Flexible, Remote What We Offer Comprehensive medical, dental, and vision coverage for you and your family Additional benefits to help care for your family such as flexible parental leave and fertility & adoption assistance Unlimited PTO, including two recharge weeks (two company-wide weeks off, 13 paid holidays AND a $1000 vacation stipend once a year to spend on travel, etc. Awesome Perks including a $200 monthly Wellness Stipend to support not just your 'health & fitness' but your general wellbeing, a $500 home office budget to get you set up at home, and a $125 monthly phone & internet stipend