Move Your Career Forward with DAC a Senior Data Scientist Who We Are We are DAC—a global full-funnel performance media agency dedicated to delivering transformative results. With expertise spanning SEO, paid media, creative production, analytics, and local optimization, we combine the brightest minds with innovative technology to deliver seamless, forward-thinking strategies. Powered by AI, data, and creative ingenuity, we deliver integrated campaigns that engage customers at every touchpoint—from global audiences to individual store locations. Role Summary We are seeking a proactive Senior Data Scientist, who will drive the development and implementation of advanced statistical methodologies while maintaining hands‑on involvement in model development. This role requires a strategic thinker who can independently develop innovative analytical frameworks, lead client consultations, and contribute to new business development—all while remaining deeply engaged in the technical execution of complex statistical analyses including Marketing Mix Modeling (MMM) and beyond. The ideal candidate will bring strong statistical expertise with the ability to apply rigorous analytical methods to diverse business challenges. You'll be expected to be both a thought leader and a practitioner, setting methodological standards while personally delivering high-impact analyses. Key Responsibilities Strategic Leadership & Innovation Develop and champion novel statistical methodologies and analytical frameworks tailored to client needsLead client consultations as the primary data science expert, translating complex statistical concepts into strategic business recommendationsDrive new business development by contributing to pitches, proposals, and thought leadership initiativesEstablish best practices for statistical rigor, model validation, and analytical quality across the organizationProactively identify opportunities to apply advanced analytics to solve emerging business challenges Hands-On Technical Delivery Personally build and deploy sophisticated statistical models including MMM, causal inference models, time series forecasting, and experimental design frameworksLead end-to-end model development from hypothesis formation through data preparation, model building, validation, and deploymentConduct advanced statistical analyses using techniques such as hierarchical Bayesian modeling, machine learning, and econometric methodsDesign and analyze experiments including A/B tests, geo-lift studies, and synthetic control methodsDevelop custom analytical solutions that go beyond standard approaches to address unique client challenges Client & Stakeholder Management Present findings and recommendations directly to C-suite executives and senior stakeholdersBuild trusted advisor relationships with clients through strategic engagement and thought partnershipTranslate technical insights into compelling narratives that drive strategic decision-makingLead cross-functional collaboration with media, strategy, and creative teams to ensure analytical insights are actionable Technical Infrastructure & Innovation Architect scalable analytical solutions using modern data science tools and cloud platformsDrive automation initiatives to increase efficiency and reproducibility of analysesEvaluate and implement emerging statistical techniques and technologiesExplore AI and GenAI applications to enhance analytical capabilities and client solutionsMentor team members on advanced statistical concepts and methodological approaches Required Qualifications Education & Experience Bachelor's or Master's degree in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related quantitative field4-5 years of hands‑on experience in applied statistics, data science, or quantitative researchDemonstrated track record of developing and implementing analytical approaches to business problemsExperience presenting to senior stakeholders and executive audiences Technical Expertise Expert‑level proficiency in statistical programming (Python or R) with ability to write production‑quality codeDeep understanding of statistical theory including causal inference, experimental design, time series analysis, and Bayesian methodsProven experience building complex models from scratch, not just using pre‑built packagesStrong SQL skills for data extraction and manipulationExperience with version control (Git) and collaborative development practices Leadership & Business Acumen Strong initiative with ability to identify opportunities and drive projects independentlyExceptional communication skills with ability to influence and educate stakeholders Business Development Experience Business development experience including proposal writing and pitch presentations Strategic Thinking Strategic thinking with ability to connect analytical insights to business outcomesIntellectual curiosity and drive to continuously expand methodological toolkit Preferred Qualifications Experience with Snowflake or similar cloud data warehouses Background in marketing analytics, MMM, or media measurement Experience with causal ML methods (Double ML, causal forests, etc.) Enthusiasm for AI and GenAI applications in data science Experience building and mentoring data science teams Familiarity with marketing channels and performance metrics What You’ll Get Professional Growth: Work with top‑tier clients and cutting‑edge tools in the performance marketing industry. Collaborative Culture: Be part of a global organization that values curiosity, transparency, and innovation. Competitive Benefits:



Market-competitive salary and comprehensive health benefits. Generous PTO, wellness initiatives and parental leave. Retirement saving plans. Opportunities for continued learning and professional development. A supportive, collaborative, and casual work environment. How We Work This role requires three in-office days per week. Remote work is not available for this position. This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. DAC is an equal prospect employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability, or any other basis prohibited by applicable federal, provincial, state, or municipal law. If you require an accommodation in any aspect of the selection process, please reach out to At DAC we celebrate your contributions, provide you with opportunities, and support your total well‑being. Our offerings include health, vision, dental, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and employee assistance support. Full‑time employees are eligible to participate in the DAC benefit programs. Salary at DAC is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $90,000 to $130,000. The estimate displayed represents the typical salary range for this position and is just one component of DAC’s total compensation package for employees. DAC is a leading international media agency helping brands connect with customers and prospects at every stage of the customer journey, from the enterprise level right down to hyper‑local moments since 1972. Recognized by Forrester as one of the world’s most significant growth driving agencies, DAC is passionate about helping businesses build, maintain, and optimize their online presence, leveraging our expertise in Reputation Management Local Presence Management Content Strategy Paid Media SEO & SEM Data Analytics Design and UX DAC’s mission is to drive impactful client results by amplifying brands to their target no matter where they are. #J-18808-Ljbffr

📌 Senior Data Scientist (Toronto)
🏢 100 DAC Group / Canada
📍 Toronto