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.

Department: Data Science Reports to: Head of Data Science Location: Remote, but we will be strongly weighting applicants who are in or willing to move to Austin Applications will be open through early April with an anticipated start date of April 20, 2026. About Funga Funga is a public benefit corporation harnessing forest fungal networks to address the climate crisis. We combine modern DNA sequencing and machine learning technology with breakthrough research on the forest microbiome to put the right native, biodiverse communities of mycorrhizal fungi in the right place. This leads to more quality wood created more quickly, more carbon sequestered, and more resilient forests. We serve land partners seeking to implement regenerative forestry practices that improve productivity and sustainability, and corporate carbon buyers building high-quality carbon removal portfolios with strong social and biodiversity outcomes. We’re a team of passionate scientists and builders on a mission to draw down at least three gigatons of carbon dioxide from the atmosphere by 2050. If you are excited by starting new things, learning as you go, and being hands-on in applying your work to the private sector, you will dig working with us. We encourage you to apply even if only some of the below criteria are met - just make sure to tell us why you’re excited about Funga! About the Role We are looking for a Data Scientist/Statistician to support our work analyzing forest productivity, and experimental data. You will collaborate with the team to scale our ability to process and interpret ecological and experimental data, contributing directly to Funga’s mission. We need a pragmatic builder who thrives on turning complex raw data into actionable models. This is a role for someone who balances deep scientific rigor with the urgency and velocity required to accelerate our impact. In This Role, You Will: - Perform robust statistical analyses of experimental and observational forest data. - Evaluate and enhance current experimental design by performing power analyses and applying statistical models to multi-year trials. - Rapidly prototype and deploy models connecting forest productivity to soil microbiomes and environmental factors, accounting for spatial and temporal dependencies. - Enhance our carbon accounting system to incorporate incoming field-collected, genomic, and remotely sensed data. - Build and validate pipelines for assessing the effectiveness of satellite and drone datasets for capturing on-the-ground measurements. - Work closely with internal stakeholders on Growth, Applied Science, and other teams to ensure that insights meet their needs and accelerate their work. - Travel up to 10-15% of the time for team offsite events, data collection, and stakeholder meetings as needed. Our Ideal Candidate Will Have: - An MS or Ph.D. in a quantitative field (Statistics, Applied Mathematics, or equivalent experience). - Demonstrated expertise in hierarchical/mixed-effects models, longitudinal data analysis, repeated measures methods, and spatio-temporal modeling. You know how to handle the autocorrelation and nesting inherent in experimental ecological data. - High proficiency in SQL, R, and Python for data manipulation and modeling. - Practical experience applying machine learning techniques to biological, environmental, or similarly complex systems. - Familiarity with data integration, version control (Git), and reproducible research workflows (e.g. Markdown, Jupyter, Quarto). - Pragmatism balanced with rigor. You prioritize rigorous, actionable insights over academic perfection. You know when a simple linear model is better than a deep learning model. - A passion for biodiversity, ecosystem health, and climate action. - Background in forest ecology, soil microbial ecology, or experimental design for field trials is a major plus. - Experience with geospatial and remote sensing data analysis is a plus. - NOTE - please apply if you feel you are qualified, but don’t necessarily meet all of the above criteria! Why Join Funga? - Make a meaningful impact: Contribute to innovative solutions addressing one of the most pressing global challenges - climate change. - Collaborative environment: Work closely with a diverse team of scientists, foresters, and business leaders who share a common passion for sustainability. - Career growth: Be part of a pioneering company with opportunities for professional development and leadership. - Participate in comprehensive healthcare benefits and employee equity programs. Salary and Benefits The expected salary range for this role is $90,000 - $130,000 USD, with actual salary based on qualifications and experience. Relocation may be considered for qualified applicants seeking to move to Austin. Funga offers a competitive benefits package including equity in our fast-growing startup; a flexible time off policy; medical, dental, and vision benefits; and a wellness reimbursement program. Our team is in a dynamic growth phase. By joining us at this stage, you can shape our benefits and culture, and participate in our business success!v

Title: Principal Data Scientist- Global Marketing Measurement & Optimization Location: Hunt Valley United States hybrid Job Description: You may know McCormick as a leader in herbs, spices, seasonings, and condiments - and we're only getting started. At McCormick, we're always looking for new people to bring their unique flavor to our team. McCormick employees - all 14,000 of us across the world - are what makes this company a great place to work. We are looking to hire a Principal Data Scientist, Global Marketing Measurement and Optimization immediately in a Hybrid (50/50) capacity at our Global Headquarters in Hunt Valley, Maryland. What We Bring To The Table: The best people deserve the best rewards. In addition to the benefits you'd expect from a global leader (401k, health insurance, paid time off, etc.) we also offer: - Competitive compensation - Career growth opportunities - Flexibility and Support for Diverse Life Stages and Choices - Wellbeing programs including Physical, Mental and Financial wellness - Tuition assistance Position Summary: This Principal Data Scientist, Global Marketing Measurement and Optimization, will be responsible for bringing the data science expertise that is needed to lead a range of projects to drive better understanding of short- and long-term marketing effectiveness, including the next generation of technical modeling that powers McCormick's marketing measurement and optimization program. McCormick can drive unprecedented brand growth by learning how to better measure all aspects of marketing/media design and execution and bringing these different analytics together to provide a holistic view on the drivers of short- and long-term growth and build predictive models to enable better decision making. The role is designed to give McCormick the data and analytical engine to make this happen. Key Responsibilities: - Lead the design and implementation of next-gen media measurement and optimization capabilities, integrating marketing mix, long term brand equity measurement, in-flight measurement (e.g., lift studies, A/B testing), pre-market factors that affect media (e.g., creative testing) - Develop media-driven volume forecasting tools to integrate into McCormick's demand forecasting platform - Drive and leverage external connections to find new and improved tools and approaches to bring into McCormick - Partner with vendors used for outsourced models, serving as lead consultant on technical methodology alignment integration with new capabilities - Develop training content that enables business partners to use marketing optimization capabilities more effectively Qualifications: - Bachelor's degree in Mathematics, Statistics, Engineering or Data Analytics/Science, or closely related field - 8+ years' experience in data science, with media analytics expertise - Demonstrated sound understanding of concepts, principles and practices in Marketing and Sales - Understanding of the business and technical aspects of Marketing Mix Modeling, Media Effectiveness Testing tools (Lift, A/B, etc.), Creative Testing, and proficiency for the evolution of and other tools in the Media Effectiveness Space - Demonstrated skills and results in analyzing complex datasets, generating insights and building robust statistical models - Demonstrated ability to connect the dots between complex data/analytics and business understanding - Proficiency with building dashboards for business users using data visualization software (Power BI preferred) - Expertise in SQL and Python coding - Demonstrated experience with building data models, machine learning & AI - Comfortable working with structured and unstructured data sources, e.g. syndicated data, SAP - Proven project leadership experience with demonstrated success in balancing multiple projects in a fast-paced environment; foresees and addresses issues before they become significant obstacles - Strong technical curiosity, a passion for problem solving and the ability to uncover richness of analytic insight that translates to business opportunity - Demonstrated agile learning skills; ability to learn new technology, skills & tools quickly and easily - Ability to synthesize analytic learnings and translate into compelling stories for a business audience - Effective at building collaborative, cross functional and cross-geography partnerships - Excellent written communication and presentation skills - Ability to travel internationally, as needed (0-5%) - Strong personal leadership, including attention to detail, quality of work and bias toward action - CPG or Food/Bev experience (preferred) #LI-SM1 As a general policy, McCormick does not offer employment visa sponsorships upon hire or in the future. Base Salary: $103,520 - 181,150. Base salary compensation will be determined based on factors such as geographic location, skills, education, experience for this role, and/or internal equity of our current employees as part of any final offer. This position is also eligible to participate in McCormick's Sales Incentive Bonus (SIB) Plan. In addition to a competitive compensation package, permanent employees of McCormick are eligible for our extensive Total Rewards programs that include: - Comprehensive health plans covering medical, vision, dental, life and disability benefits - Family-friendly benefits such as paid parental leave, fertility benefits, Employee Assistance Program, and caregiver support - Retirement and investment programs including 401(k) and profit-sharing plans It is the policy of McCormick and Company to select and promote for all positions without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. WHY WORK AT MCCORMICK? As a McCormick employee you'll be empowered to focus on more than your individual responsibilities. You'll have the opportunity to be part of something bigger than yourself-to have a say in where the company is going and how it's growing. Between our passion for flavor, our 130-year history of leadership and integrity, the competitive and comprehensive benefits we offer, and our culture, which is built on respect and opportunities for growth, there are many reasons to join us at McCormick.