The Principal Data Scientist will design, deploy, and scale machine learning systems for adtech, mentor others, and influence strategic direction.
About ShyftLabs
At ShyftLabs, we live and breathe data. Since 2020, we’ve been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We’re growing fast and we’re looking for passionate problem-solvers who are ready to turn big ideas into real outcomes.
About Carter:
Carter is rethinking adtech infrastructure from the ground up with a privacy-first, AI-powered platform transforming commerce media. Our platform enables sophisticated audience management, seamless campaign execution, and advanced monetization-while keeping data security and privacy at the core. We empower our partners to turn every customer interaction into a revenue-generating opportunity, leveraging AI, first-party data, and seamless integrations across the entire retail media ecosystem.
The Opportunity:
We are seeking an accomplished Principal Data Scientist to play a pivotal role in architecting, deploying, and scaling next-generation machine learning systems that fuel Carter’s platform. In this role, you’ll help solve some of the most challenging problems in adtech, including real-time bidding, cross-channel budget allocation, incremental lift measurement, attribution modeling, and customer lifetime value optimization.
As a senior technical leader, you will not only design high-impact solutions but also mentor a team of data scientists and engineers, guide technical decision-making, and collaborate closely with product and engineering to influence Carter’s long-term roadmap. This role offers the opportunity to shape the technical foundation of a fast-growing, high-frequency, high-volume platform at the cutting edge of AI and privacy-preserving advertising.
What You’ll Be Doing
- Machine Learning Innovation: Design, develop, and deploy scalable ML models for real-time bidding, campaign pacing, budget allocation, and cross-channel optimization in high-throughput, low-latency environments.
- Causal Inference & Measurement: Develop robust frameworks for incrementality measurement, attribution modeling, and customer lifetime value (CLV) leveraging advanced statistical methods, causal inference, and privacy-preserving ML techniques.
- Leadership & Mentorship: Serve as a technical mentor and thought leader, guiding data scientists and data engineers to deliver high-quality, production-ready solutions and fostering a culture of technical excellence and experimentation.
- Cross-Functional Collaboration: Partner with product managers, engineers, and business stakeholders to translate advertiser goals and KPIs into actionable data science solutions that directly drive business impact.
- Scalable Systems Engineering: Work with engineering teams to ensure models are robustly monitored, validated, and optimized for performance, resilience, and fairness in live production systems.
- Research & Roadmap Influence: Stay ahead of emerging trends in adtech, reinforcement learning, causal modeling, and privacy-first AI, and play a central role in shaping Carter’s data science and AI strategy.
What You Bring
- 8+ years of experience deploying machine learning models at scale in high-frequency, high-volume environments, ideally within the adtech ecosystem.
- Deep expertise in classification models, reinforcement learning, real-time prediction, distributed training systems, and causal inference techniques.
- Strong programming skills in Python, Scala, and SQL; experience with ML frameworks and libraries such as XGBoost, PyTorch, or TensorFlow.
- Familiarity with adtech protocols (RTB, attribution, identity resolution) and experience with privacy-preserving machine learning (federated learning, differential privacy, secure multi-party computation).
- Proven track record of leading and mentoring data science teams, fostering innovation, and delivering solutions that balance technical complexity with business needs.
- Excellent communication and storytelling skills with the ability to influence stakeholders across technical and non-technical teams.
Why You’ll Love Working at ShyftLabs
At ShyftLabs, your work matters. We’re a growing data product company making a big impact with Fortune 500 clients and as we scale, you’ll have the chance to shape solutions, influence strategy, and grow your career alongside us.
Here’s what you can expect when you join our team:
-Hybrid Flexibility: Enjoy a hybrid model with 3 days in-office and 2 days remote.
-Downtown Toronto Office: Work in the heart of the city.
-Comprehensive Benefits: We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no out-of-pocket costs.
-Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.
Inclusion at ShyftLabs
We’re building something big, and we want you on the journey with us. If you’re ready to use data and innovation to make an impact, apply today and let’s grow together.
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we’ll be happy to support you.
Top Skills
Python
PyTorch
Scala
SQL
TensorFlow
Xgboost
Similar Jobs
Food • Retail • Agriculture • Manufacturing
The CPFR Analyst supports customer satisfaction by improving collaborative processes, analyzing data trends, and driving operational efficiency within Supply Chain functions.
Top Skills:
Blujay TmsMicrosoft Office SuitePower BISAP
15 Hours Ago
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead a team developing embedded software for vehicle controls. Provide technical vision and manage stakeholder relationships while ensuring quality and integration across products.
Top Skills:
AutovalC ProgrammingCanDspaceEthernetGitHilJIRALauterbachLinMatlabSilSimulink
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Sales Operations and Communications Specialist supports communication and operational initiatives, coordinates dealer meetings, and manages data analytics, ensuring alignment within the sales team and dealer network.
Top Skills:
ExcelPower BIPowerPointTableau
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
