Data Scientist

Plusgrade powers the global travel industry with its portfolio of leading ancillary revenue solutions. Over 200 airline, hospitality, cruise, passenger rail, and financial services companies trust Plusgrade to create new, meaningful revenue streams through incredible customer experiences. As an ancillary revenue powerhouse, Plusgrade has generated billions of dollars in new revenue opportunities across its platform for its partners, while creating enhanced travel experiences for millions of their passengers and guests. Plusgrade was founded in 2009 with headquarters in Montreal and has offices around the world.

ABOUT THE ROLE:

We are seeking a full-time Data Scientist to join our Toronto team on a permanent basis.

Fueled by ever-expanding data sources across our product, partner, and member network, Plusgrade is creating a world of advanced analytics that are real-time, automated, always on, and always learning. This collective intelligence is our unique offering—it enables us to drive unparalleled member engagement and program economics for our partners.

Reporting to the Senior Manager, Data Science, the Data Scientist will drive the development of high-quality, efficient, and scalable machine-learning solutions. In this role, you will leverage your data science, analytics, and engineering expertise to solve complex business problems, enhance customer targeting, and optimize marketing strategies. You will work closely with cross-functional teams, including marketing strategists, data engineers, and product managers, to deliver impactful data-driven solutions.

WHAT YOU WILL BE DOING:

1. Responsible for designing, building, and implementing machine learning models for marketing campaigns to ensure the campaign meets business objectives.
2. Collaborate with a team of marketing and data professionals to plan and execute the business with best-in-class ML models and creatively apply these models.
3. Utilize optimization and simulation expertise to research and recommend the best approaches for solving our business problems.
4. Build pragmatic, scalable, and statistically rigorous solutions that can be applied across products and partners by developing statistical and machine learning methodologies.
5. Continuously improve the models and algorithms through research, testing, and iteration.
6. Elevate the data science discipline by aligning with other data scientists on best practices, automation, and standardization of all advanced analytical solutions, and end-to-end modelling processes, and offer optimizations.
7. Drive execution through fast iteration.

YOU ARE SOMEONE WITH:

1. Over 3 years of experience in developing, testing, and applying machine learning algorithms.
2. Proficiency in machine learning, optimization, big data, predictive analytics, time series analysis, recommender systems, reinforcement learning, and visualization tools, with a solid understanding of best practices in data science.
3. Strong programming skills with SQL, Python (and/or R), and associated machine-learning packages.
4. Comprehensive and solid data knowledge and skills, with a good understanding of data warehousing. Experience with handling large, imperfect data is an asset.
5. Experience with implementing ML solutions on the cloud (e.g., Snowflake, AWS) preferred.
6. Ability to communicate/present complex ideas/analysis in a concise, business-friendly manner.
7. Natural curiosity to solve problems and find meaning in complex data sets & customer behaviour analysis.
8. Strong business acumen to apply recommendations in the proper commercial context.
9. Masters or equivalent experience in a quantitative field (e.g. Statistics, Math, Computer Science, Engineering or other related fields).

WHAT YOU’LL LOVE ABOUT US:

• RRSP/401(k) Matching
• Comprehensive Health Plans
• Unlimited Vacation/PTO
• ️Travel Experience Credit
• Annual Wellness Credit
• Team Events and Monthly Lunches
• Home Office/Commuter Credit
• Work From Anywhere Program

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.

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. All applications will be reviewed from our Talent Team and the successful candidate(s) will go through the following recruitment process:

1. Recruiter Phone Interview
2. Hiring Manager Interview
3. Take-home Assessment or remote coding exercise (if applicable)
4. Team 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.