Senior Data Scientist (Plusgrade)

About the Role

Title: Senior Data Scientist

Location: Montreal, Quebec

Type: Full-Time

Workplace: hybrid

Category: Data Science

Job Description:

English Version Below

Travel is more than just a destination; it's woven from every memory created along the way. Our commitment is to redefine the future of travel by collaborating with over 250 airlines, hotels, cruise lines, passenger rail networks, and financial services to create significant new revenue streams through exceptional customer experiences. Guided by our core values ​​of ambition, innovation, and collaboration, we are constantly driven to push boundaries, exceed expectations, and bring out the best in everyone. We foster a culture that believes our strength lies in our unity, working together to build an extraordinary future in travel. Join us in transforming everyday journeys into truly extraordinary experiences.

ABOUT THE POSITION:

Powered by complex and rapidly growing data sources across multiple products, partners, and loyalty program members, Plusgrade creates a cutting-edge analytics universe that operates in real time, automatically, continuously, and constantly evolving. This collective intelligence is our unique offering, enabling us to drive unparalleled 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 a Senior Data Scientist, you will not only manage the data science needs for a portfolio of key partners, but you will also research, develop, and deploy leading modeling solutions across our partner ecosystem. You will leverage data science methodologies to solve complex business challenges. You will provide guidance and collaborate with fellow data scientists to help achieve the objectives of various business units.

WHAT YOU WILL DO:

Reporting to the Senior Manager, Data Science, you will: 

- Generate significant incremental business value by leveraging advanced machine learning to design, test and implement cutting-edge data science approaches for dynamic pricing, real-time offer allocation and personalization, thereby improving offer targeting and attribution within our marketing engine.

- Develop and optimize algorithms that balance business constraints, customer behavior and engagement objectives to provide optimal, data-driven decisions for all offers and pricing.

- Design, improve and generalize models into scalable solutions that can be applied across products, partners and various data environments.

- Leverage a wide range of data sources (e.g., partner, product and third-party data) to enrich algorithms and clearly demonstrate a measurable business impact.

- Lead and collaborate with cross-functional teams (Product, Engineering, Analytics) to establish best practices for developing, automating and standardizing advanced data science solutions, with an emphasis on real-time applications.

- Promote scalable and automated production deployments by integrating algorithms into live systems through rapid iteration and experimentation, using AWS infrastructure (particularly SageMaker) to deploy, monitor and scale models in production. 

YOU ARE A PERSON WITH:

- Over 4 years of experience in researching, designing and developing machine learning algorithms, with a strong focus on solving real-world business problems.

- Expertise in developing algorithms for real-time decision-making or dynamic optimization problems, such as bid allocation, continuous pricing, or recommendation systems.

- Proficiency in machine learning, large-scale data processing, predictive analytics, and optimization techniques.

- Strong programming skills in Python, with practical experience using machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn.

- Advanced SQL skills and familiarity with relational databases, enabling efficient handling of large and complex datasets.

- Hands-on experience working in AWS environments, particularly with SageMaker to build, train, deploy, and monitor machine learning models at scale.

- The ability to conceptualize, design and communicate complex algorithms to technical and non-technical stakeholders in a clear and concise manner.

- An innate curiosity to solve complex problems, extract actionable information and iterate on innovative solutions.

- A keen business sense and an ability to align data science initiatives with business objectives, ensuring a measurable business impact.

- A quantitative master's or doctorate is required, or equivalent experience. Relevant fields include, but are not limited to, computer science, engineering, mathematics, statistics, and operations research.

WHAT YOU'LL LOVE ABOUT US:

 Matching RRSP

 Complete health plans

 Flexible paid leave program

 Travel Experience Allowance

 Annual Wellness Credit

 Team Events

 Allowance for transport supplies

 Remote work program

 Parental Leave Bonus Program

 Passport to adventure

OUR PROCESS:

Plusgrade is an equal opportunity employer and is committed to providing an accessible recruitment process. We welcome applications from all qualified individuals and are committed to providing 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 candidates with disabilities. If you have a preference regarding the language of your interviews, please inform our recruitment team when they contact you.

We believe in diversity and inclusivity, which is why our interview process is designed to provide a positive candidate experience and ensure that every candidate is assessed equally. We may use technology-assisted or artificial intelligence (AI) tools to help us screen, assess, and select candidates for this position. This job posting is for an existing vacancy.

All applications will be reviewed by our talent team and the successful candidate(s) will go through the following recruitment process:

• Telephone interview with the recruiter.

• Interview with the team leader

• Presentation of the technical mission

• Final Interview

All candidates will receive feedback, regardless of whether they successfully complete all stages of our interview process. All your information will be kept confidential.

Travel is not just about the destination; it's about every memory made along the way. We are dedicated to shaping the future of travel by partnering with 250+ 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.

ABOUT THE ROLE: 

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 not only manage data science needs for a portfolio of important partners but also 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. 

WHAT YOU WILL BE DOING:

Reporting to the Senior Manager, Data Science, you will:

- Drive significant incremental business value by leveraging advanced machine learning to design, test, and implement advanced data science approaches for dynamic pricing, real-time offer allocation, and personalization, improving targeting and offer assignment within our marketing engine.

- Develop and optimize algorithms that balance business constraints, customer behavior, and engagement objectives to deliver optimal, data-driven decisions across offers and pricing.

- Design, enhance, and generalize models into scalable solutions that can be applied across products, partners, and diverse data environments.

- Leverage a wide range of data sources (e.g., partner, product, and third-party data) to enrich algorithms and clearly demonstrate measurable business impact.

- Lead and collaborate with cross-functional teams (Product, Engineering, Analytics) to establish best practices for developing, automating, and standardizing advanced data science solutions, with an emphasis on real-time applications.

- Champion scalable, automated production deployments by integrating algorithms into live systems through rapid iteration and experimentation, leveraging AWS infrastructure (particularly SageMaker) to deploy, monitor, and scale models in production.

YOU ARE SOMEONE WITH:

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

- Expertise in developing algorithms for real-time decision-making or dynamic optimization problems, such as offer allocation, continuous pricing, or recommender systems.

- Proficiency in machine learning, large-scale data processing, predictive analytics, and optimization techniques.

- 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.

- Hands-on experience working in AWS environments, particularly with SageMaker for building, training, deploying, and monitoring machine learning models at scale.

- The ability to conceptualize, design, and communicate complex algorithms to technical and non-technical stakeholders clearly and concisely.

- Innate curiosity to solve complex problems, derive actionable insights and iterate on innovative solutions.

- Strong business acumen and an ability to align data science initiatives with commercial goals, ensuring measurable business impact.

- A quantitative Master's or Ph.D. is required, or equivalent experience. Relevant fields include, but are not limited to, Computer Science, Engineering, Mathematics, Statistics, and Operations Research.

WHAT YOU’LL LOVE ABOUT US:

 RRSP/401(k) Matching 

 Comprehensive Health Plans 

 Flexible Paid Time Off

 Travel Experience Credit 

 Annual Wellness Credit 

 Team Events

 Commuter Credit 

 Work From Anywhere Program

 Parental Leave Top Up 

 Adventure Pass

OUR PROCESS: 

Plusgrade is an equal-opportunity employer and is committed to providing an accessible recruitment process. 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. If you have a preference regarding the language of your interviews, please inform our Talent Team when they reach out to you.

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. We may utilize technology-assisted/ artificial intelligence tools to help us screen, assess, and select applicants for this position.

This job posting is for an existing vacancy.All applications will be reviewed by our Talent Team and the successful candidate(s) will go through the following recruitment process:

• Recruiter Phone Interview 

• Hiring Manager Interview

• Technical Assignment Presentation

• Final Interview

All candidates will be provided with feedback regardless if they pass or didn’t pass any of our interview stages. All your information will be kept confidential.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.