Data Scientist Senior - Remote

Travel is not just about the destination; We are dedicated to shaping the future of travel by partnering with 200+ airline, hospitality, cruise, passenger rail, and financial services companies to create new, meaningful revenue streams through incredible customer experiences. Rooted in our core values of being ambitious, innovative, and collaborative, we are driven to continuously raise the bar, exceed expectations, and bring out the best in everyone, fostering a culture where we believe we are better together, working towards an extraordinary future in travel. Come help us transform everyday travel into extraordinary experiences.
Plusgrade, fueled by fast-growing and complex data sources across multiple products, partners, and loyalty members, is creating a world of cutting-edge analytics that operates in real time, is automated, is always active, and is continually evolving. This collective intelligence is our unique offering, empowering us to drive unmatched member engagement and optimize program economics for our partners.
The Senior Data Scientist, reporting to the Senior Manager, Data Science, will play a key role in supporting Plusgrade's Data Strategy, a cornerstone of our organizational growth. As the Senior Data Scientist, they will research, develop and deploy top-tier modeling solutions across our entire partner ecosystem. They will harness data science methodologies to solve complex business challenges. They will provide guidance and collaborate with fellow data scientists to help achieve the goals of various business areas.

Research, design, test, and implement innovative machine learning algorithms and advanced data science methodologies to optimize real-time offer allocation, improve personalization strategies, and enhance targeting and offer assignments for our marketing engine.

• Drive the development of cutting-edge algorithms that balance business constraints, customer behaviour, and engagement objectives to ensure optimal, data-driven offer assignments.
• Design and enhance models to develop scalable solutions, ensuring their applicability across products, partners, and diverse data environments.
• Leverage various data sources (e.g., partner, product, performance, and 3rd party) to enrich algorithms and demonstrate measurable business impact.
• Continuously innovate by researching, designing, testing, and improving algorithms for dynamic offer allocation, including exploration of multi-armed bandit approaches, contextual optimization techniques, and reinforcement learning.
• Lead and collaborate with cross-functional teams to establish best practices for developing, automating, and standardizing advanced data science solutions, specifically focusing on real-time applications.
• Champion adopting scalable, automated solutions by working with Data Science Team Leads to integrate algorithms into production systems through rapid iteration and testing.

Over five years of experience researching, designing, and developing machine learning algorithms, with a strong focus on solving real-world business problems.

• Proficiency in machine learning, big data technologies, predictive analytics, and optimization techniques, including experience with contextual bandits, multi-armed bandits, or reinforcement learning.
• Strong programming skills in Python, with hands-on experience using machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Advanced SQL skills and familiarity with relational databases, enabling efficient manipulation of large and complex datasets.
• The ability to conceptualize, design, and communicate complex algorithms to technical and non-technical stakeholders clearly and concisely.
• Strong business acumen and an ability to align data science initiatives with commercial goals, ensuring measurable business impact.
• D. in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related discipline.

RRSP/401(k) Matching/ Pension Matching
Comprehensive Health Plans
Flexible Paid Time Off
✈️ Travel Experience Credit
Home Office/Commuter Credit
Parental Leave Top Up
We welcome applications from all qualified individuals and are committed to equal employment opportunities regardless of gender identity or expression, race, ethnic origin, creed, place of origin, age, sex, marital status, physical or mental disability, sexual orientation, and any other category protected by law. Upon request, we will provide accommodation for applicants with disabilities.

We believe in diversity and inclusivity and that is why our interview process is designed for a positive candidate experience and to ensure every candidate is evaluated equally. Recruiter Phone Interview

• Take-home Assessment or remote coding exercise (if applicable)