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.
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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.
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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.
