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    Remote - Senior Data Scientist - Toronto, ON, Canada - Plusgrade Inc.

    Plusgrade Inc.
    Plusgrade Inc. Toronto, ON, Canada

    3 weeks ago

    Default job background
    Description

    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 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.

    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. 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
    • D. in a quantitative field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related field)
    Comprehensive Health Plans
    Flexible Paid Time Off
    Home Office/Commuter Credit

    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)
    • All candidates will be provided with feedback regardless if they pass or didn't pass any of our interview stages.
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