• Lead e2e analytics delivery: intake and clarification of requests, analytic design, development, validation, interpretation, and final delivery. • Translate stakeholder questions into analytic specifications (cohorts, definitions, assumptions, time windows, and sensitivity checks). • Build and review production-grade analytics using SQL and Python in a modern cloud analytics environment; apply distributed processing patterns (Spark/PySpark) when appropriate. • Establish and enforce analytic quality standards including reproducibility, documentation, peer review, testing, and reconciliation against benchmarks or historical trends. • Partner with research/domain leaders to ensure analytic outputs are interpreted correctly and include appropriate caveats and limitations. • Advise clients on the meaning of their data and recommend actions they should take. • Optimize analytic throughput by creating reusable code patterns, standard templates, and repeatable workflows. • Mentor and coach analysts and engineers on technical execution, analytic methods, and clear communication of results. • Develop dashboards, reports, and KPIs to support executive decision-making. • Collaborate with engineering leadership on performance, scalability, job orchestration patterns, data pipelines and data governance aligned to security and compliance needs. • Support secure handling of sensitive data by following access controls, least-privilege practices, and project-specific data use requirements.

• Develop predictive and prescriptive models to support pricing, risk, customer, and operational decision-making across the pet insurance portfolio • Apply advanced statistical and machine learning techniques to a variety of business problems, including customer behavior, retention, and marketing performance • Mentor other data scientists and analytics talent as needed, and develop data science rigor and expertise across the organization • Partner with actuarial, product, and analytics teams to set data science goals and objectives and translate business questions into analytical solutions • Collaborate with engineering and analytics teams to deploy models into production and ensure scalable, maintainable solutions • Communicate insights and recommendations to technical and non-technical audiences, leveraging learnings from insurance and other consumer-facing industries

Role Description We Are Looking for a Research Director, Gaming. Our Research & Data Analytics (R/DA) team is building the next generation of player intelligence for the gaming industry. Rather than treating research and analytics as separate disciplines, we’re integrating multiple sources of player data to create a more holistic understanding of gamers. At the center of this effort is PlayDX, our intelligence platform that brings together behavioral data, community sentiment, qualitative and quantitative research, and advanced analytics to uncover the motivations, tensions, and connections players form with games, shaping how they discover, engage with, and stay loyal to them. As a Sr. Data Scientist, you will help translate large-scale behavioral gaming data into predictive models, analytical frameworks, and scalable systems. Reporting to the SVP of Research & Data Analytics, you will work closely with research, analytics, and product teams to develop methodologies and tools that power PlayDX and other data products. On any given day you might… - Analyze large-scale behavioral gaming datasets to uncover patterns in player behavior, engagement, retention, and cross-game activity. - Develop statistical models and analytical frameworks to serve as the foundation for our data products and insights. - Translate complex behavioral data into clear, actionable recommendations that inform marketing, product, and community strategy for Open World’s campaigns team and our publisher and studio partners. - Communicate analytical findings through clear narratives, data visualizations, and presentations for both internal stakeholders and external clients. - Collaborate with research and product teams to integrate behavioral data with survey and community sentiment to generate a more complete view of gamer decision-making. - Contribute to the development and improvement of internal and client-facing analytical tools, workflows, and methodologies that support the continued growth of behavioral datasets and scalable insights. Qualifications - 3+ years of experience in data science, machine learning, or advanced analytics roles. - Strong experience working with large behavioral datasets and complex data environments. - Advanced proficiency in Python or R (or similar tools) for statistical analysis and modeling. - Experience building models such as clustering, classification, regression, and predictive modeling; machine learning experience a plus, but curiosity and a willingness to learn are essential. - Strong quantitative and analytical problem-solving skills. - Experience translating complex analyses into clear narratives through data visualization, presentations, and written insights. - Ability to communicate technical concepts clearly to non-technical stakeholders. - Comfortable working cross-functionally and collaborating with research, product, and strategy teams. - Hands-on experience managing projects and coordinating with internal stakeholders or clients. - Experience with SQL or querying large-scale datasets is a plus. - Interest in gaming, entertainment, or digital ecosystems. Benefits - Medical, Dental, and Vision Insurance. - Company-paid life insurance, short term and long term disability insurance. - 401k plan with 4% company matching. - Flexible work schedule. - Unlimited PTO. - Dog-Friendly Office. - Cell Phone, and Internet Service coverage. - Team Events. Salary Range $110,000 – $130,000 (plus bonus) How to apply Please submit your resume and a brief cover letter detailing your experience and interest in the role.

Role Description Nous sommes à la recherche d'un Scientifique, Conception de médicaments assistée par ordinateur (CADD) et chimio-informatique pour rejoindre notre équipe, basée à Montréal (Québec) ou en travaillant à distance au Canada. Les principales responsabilités consistent à : - Mettre en œuvre des approches de chimie computationnelle et de chimio-informatique pour soutenir et orienter des projets de chimie médicinale. - Développer et maintenir des modèles d'apprentissage automatique. - S'orienter vers le développement de méthodes computationnelles et s'impliquer dans la chimie analytique et la DMPK dans le contexte de l'apprentissage automatique. Ce poste offre la possibilité d'être à la fine pointe du développement scientifique en chimio-informatique et en chimie computationnelle. Ce poste relèvera du Directeur senior, Chimie computationnelle. Le candidat idéal fera preuve de créativité, de curiosité, d'une volonté d'apprendre et de flexibilité. Qualifications - Formation : Baccalauréat et/ou maîtrise en chimie, en informatique ou dans un domaine connexe, et/ou doctorat dans le même domaine. - Expérience : 1 à 3 ans d'expérience dans l'industrie sont souhaitables. Diplôme MSc ou PhD en chimie organique synthétique. - Maîtrise d'au moins un langage de programmation (Python, R, SVL). - Connaissance des logiciels de chimie computationnelle ou de chimio-informatique (par exemple MOE, Schrodinger, OpenEye, RDKit). - Connaissances de base en chimie computationnelle. - Une expérience des flux de travail en chimio-informatique et du traitement des données, des bibliothèques codées en ADN ou de CDD Vault sera un atout. Requirements - Bilinguisme (français et anglais). - Très bonnes aptitudes de communication orale et écrite. - Bonnes capacités de résolution de problèmes. - Bon sens de l'organisation et souci du détail, avec la capacité de gérer efficacement plusieurs priorités. - Autorisé de travailler au Canada. Benefits - Rémunération concurrentielle (salaire compétitif et bonus de performance annuel). - Assurance médicale et dentaire. - Assurance de courte et longue durée. - Assurance-vie. - Régime de retraite avec contribution de l'employeur. - Vacances payées commençant à 3 semaines. - Congés payés pendant les Fêtes. - Tenue décontractée. - Soins de la vue incluant des lunettes de sécurité avec ordonnance. - Activités sociales et événement corporatif visant à renforcer la cohésion d’équipe.