{"id":1373569,"url":"https://alion.io/job/dac-group-senior-data-scientist","title":"Senior Data Scientist","company":{"id":1795921,"name":"DAC group","domain":"dacgroup.com","url":"https://alion.io/company/dacgroup","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90000,"max":130000,"currency":"USD","period":"year","gross":null,"usd_annual":130000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-06-02T00:00:00Z","employer_posted_date":"2026-06-02","last_verified_at":"2026-09-29T01:19:17Z","board_verified":true,"closed_at":null,"days_open":119,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":119},"description":"Move Your Career Forward with DAC a Senior Data Scientist\nWho We Are\nWe 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.\nRole Summary\nWe 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.\nThe 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.\nKey Responsibilities\nStrategic Leadership & InnovationDevelop and champion novel statistical methodologies and analytical frameworks tailored to client needs\nLead client consultations as the primary data science expert, translating complex statistical concepts into strategic business recommendations\nDrive new business development by contributing to pitches, proposals, and thought leadership initiatives\nEstablish best practices for statistical rigor, model validation, and analytical quality across the organization\nProactively identify opportunities to apply advanced analytics to solve emerging business challenges\n\nHands-On Technical DeliveryPersonally build and deploy sophisticated statistical models including MMM, causal inference models, time series forecasting, and experimental design frameworks\nLead end-to-end model development from hypothesis formation through data preparation, model building, validation, and deployment\nConduct advanced statistical analyses using techniques such as hierarchical Bayesian modeling, machine learning, and econometric methods\nDesign and analyze experiments including A/B tests, geo-lift studies, and synthetic control methods\nDevelop custom analytical solutions that go beyond standard approaches to address unique client challenges\n\nClient & Stakeholder ManagementPresent findings and recommendations directly to C-suite executives and senior stakeholders\nBuild trusted advisor relationships with clients through strategic engagement and thought partnership\nTranslate technical insights into compelling narratives that drive strategic decision-making\nLead cross-functional collaboration with media, strategy, and creative teams to ensure analytical insights are actionable\n\nTechnical Infrastructure & InnovationArchitect scalable analytical solutions using modern data science tools and cloud platforms\nDrive automation initiatives to increase efficiency and reproducibility of analyses\nEvaluate and implement emerging statistical techniques and technologies\nExplore AI and GenAI applications to enhance analytical capabilities and client solutions\nMentor team members on advanced statistical concepts and methodological approaches\n\nRequired Qualifications\nEducation & ExperienceBachelor's or Master's degree in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related quantitative field\n4-5 years of hands-on experience in applied statistics, data science, or quantitative research\nDemonstrated track record of developing and implementing analytical approaches to business problems\nExperience presenting to senior stakeholders and executive audiences\n\nTechnical ExpertiseExpert-level proficiency in statistical programming (Python or R) with ability to write production-quality code\nDeep understanding of statistical theory including causal inference, experimental design, time series analysis, and Bayesian methods\nProven experience building complex models from scratch, not just using pre-built packages\nStrong SQL skills for data extraction and manipulation\nExperience with version control (Git) and collaborative development practices\n\nLeadership & Business AcumenStrong initiative with ability to identify opportunities and drive projects independently\nExceptional communication skills with ability to influence and educate stakeholders\nBusiness development experience including proposal writing and pitch presentations\nStrategic thinking with ability to connect analytical insights to business outcomes\nIntellectual curiosity and drive to continuously expand methodological toolkit\n\nPreferred Qualifications\nExperience with Snowflake or similar cloud data warehouses\nBackground in marketing analytics, MMM, or media measurement\nExperience with causal ML methods (Double ML, causal forests, etc.)\nEnthusiasm for AI and GenAI applications in data science\nExperience building and mentoring data science teams\nFamiliarity with marketing channels and performance metrics\nWhat You’ll Get\nProfessional Growth: Work with top-tier clients and cutting-edge tools in the performance marketing industry.\nCollaborative Culture: Be part of a global organization that values curiosity, transparency, and innovation.\nCompetitive Benefits:Competitive salary and comprehensive health benefits.\nGenerous PTO, wellness initiatives and parental leave.\nRetirement saving plans.\nOpportunities for continued learning and professional development.\nA supportive, collaborative, and casual work environment.\n\nHow We Work\nThis role requires three in-office days per week. Remote work is not available for this position.\nThis 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 opportunity 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 .\nAt 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.\nSalary 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.","description_format":"text","description_chars":7600,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Parental leave","Professional development","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Media & Entertainment","Sales & Marketing","Creative Agencies"],"lifecycle":[{"event":"open","at":"2026-09-28T05:27:34Z"}],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.337,"p_room":0.28,"age_days":118,"expected_fill_days":23,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":130000,"is_top_pay":false},"html_url":"https://alion.io/job/dac-group-senior-data-scientist","json_url":"https://alion.io/job/dac-group-senior-data-scientist.json","meta":{"generated_at":"2026-09-29T02:32:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2307,"day_limit":5000,"remaining_today":2693,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}