SENIOR DATA SCIENTIST

Accountabilities • Lead the design, development, evaluation, and deployment of machine learning solutions that deliver measurable business and customer outcomes. • Partner with Product, Engineering, and Data teams to identify opportunities, frame complex problems, and recommend data-driven solutions. • Design, execute, and analyze experiments, including A/B tests, to assess product improvements and emerging business opportunities. • Develop quantitative frameworks, predictive models, and optimization approaches that improve customer experiences and business performance. • Contribute to personalization, recommendation systems, behavioral modeling, and other advanced data science initiatives. • Drive innovation in generative AI, computer vision, image generation, and multimodal technologies, identifying new opportunities for AI-powered experiences. • Evaluate and implement state-of-the-art machine learning techniques, open-source AI technologies, and modern tooling to improve solution quality and scalability. • Collaborate with software engineers to productionize models and build reliable, scalable machine learning systems. • Independently drive ambiguous projects from problem definition through implementation while contributing to technical strategy and data science best practices. • Translate complex analytical findings and technical concepts into clear business recommendations for cross-functional stakeholders. Requirements • Bachelor’s, Master’s, or PhD in Statistics, Mathematics, Computer Science, Physics, Engineering, or another quantitative discipline. • 5+ years of professional experience in Data Science, Machine Learning, or a closely related field. • Deep expertise in machine learning, including model development, evaluation, experimentation, and production deployment. • Strong Python programming skills and experience developing production-grade data science solutions. • Strong statistical modeling, hypothesis testing, and experimental design capabilities, including hands-on A/B testing experience. • Experience working closely with software engineers to deploy and scale machine learning models and systems. • Ability to independently take ownership of projects, from defining the problem and technical approach through implementation and delivery. • Excellent communication skills, with the ability to explain complex technical and analytical concepts and translate findings into actionable business recommendations. • Experience with machine learning frameworks and technologies, including relevant experience with predictive modeling, data modeling, and ML productionization. • Familiarity with SQL for data exploration and analysis is an advantage. • Experience with generative AI applications, large language models, AI orchestration frameworks such as LangChain or LangGraph, computer vision, image generation, or multimodal AI is highly valued. • Familiarity with recommendation systems, personalization, customer lifecycle optimization, or AI-powered customer-facing products is a plus. • Comfort working in fast-paced environments where experimentation, iteration, autonomy, and continuous learning are essential. Benefits • Full-time position based in Canada with a salary range of CA$90,000–CA$140,000 annually , depending on experience and location. • Comprehensive insurance coverage, with Gold, Silver, or Bronze options and employer contributions of up to 80% depending on the selected plan. • Short- and long-term disability coverage as part of the insurance package. • Virtual healthcare access, an Employee and Family Assistance Program, and mental health support. • CA$500 Personal Spending Account that can be used toward eligible healthcare expenses, fitness memberships, public transportation, office supplies, or RRSP contributions. • RRSP retirement plan with employer matching through a Deferred Profit Sharing Plan, up to 4%. • Flexible vacation policy designed to support work-life balance, including vacation availability during the probation period. • CA$30 monthly personal technology reimbursement , available from the first day. • Winter holiday closure and flexible scheduling throughout the year. • A collaborative, inclusive, and globally connected work environment that supports creativity, autonomy, professional development, and continuous learning. • Opportunities to work on emerging AI technologies and high-impact digital products while expanding your technical and strategic expertise. • Commitment to accessibility, inclusion, and creating an environment where diverse perspectives and backgrounds are valued. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1