Senior Data Scientist, R&D
Toronto, Ontario
Plusgrade
Plusgrade powers the global travel industry with its portfolio of leading ancillary revenue solutions.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 Team Lead, 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.
WHAT YOU WILL BE DOING:• Research, design, test and implement innovative analytical solutions using complex machine learning algorithms to support the successful implementation of real-time optimal marketing offers engine.• Identify opportunities for enhancing models and targeting and offer assignments through data science methodologies.• Develop pragmatic, scalable, statistically rigorous solutions applicable across products and partners by leveraging or developing statistical and machine learning techniques.• Work with diverse data sets (partner, product, performance, 3rd party) and demonstrate the incremental value derived from data enhancements.• Continuously enhance predictive models and algorithms through research, design, testing, and learning.• Lead efforts to elevate the data science discipline by collaborating with other Data Science Team Leads on best practices, automation, and standardization of advanced analytical solutions, end-to-end modeling processes, offer assignments, and personalization. Drive execution through rapid iteration.
YOU ARE SOMEONE WITH:• Over five years of experience in researching, developing and applying machine learning algorithms• Proficiency in machine learning, big data technologies, predictive analytics, segmentation, econometric modeling, time series analysis, recommender systems, and visualization tools, with a solid grasp of data science best practices• Strong programming skills in Python and familiarity with associated machine learning packages• Expertise in relational databases (SQL)• Ability to communicate and present complex ideas and analysis in a concise, business-friendly manner• Innate curiosity to solve problems and derive insights from complex data sets and customer behavior analyses• Strong business acumen to contextualize recommendations within commercial frameworks• Master's or Ph.D. in a quantitative field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related field)
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 and Monthly Lunches💻 Home Office/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.
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 by our Talent Team and the successful candidate(s) will go through the following recruitment process:
• Recruiter Phone Interview • Hiring Manager Interview• Take-home Assessment or remote coding exercise (if applicable)• 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data strategy Economics Engineering Machine Learning Mathematics Python R R&D RDBMS Recommender systems Research SQL Statistics Testing
Perks/benefits: Career development Flex hours Flex vacation Parental leave Team events
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