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Scientifique des données principal.e / / Senior Data Scientist

Points

Montreal

Remote

CAD 90,000 - 120,000

Full time

Yesterday
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Job summary

A leading company in travel technology seeks a Senior Data Scientist to enhance their data strategy. The role involves developing machine learning algorithms to optimize real-time decision-making and improve customer engagement. Ideal candidates will have extensive experience in machine learning, strong programming skills in Python, and a Master's degree in a related field. The company offers a flexible work environment and comprehensive benefits.

Benefits

RRSP / 401(k) Matching / Pension 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

Qualifications

  • Over five years of experience in machine learning algorithms.
  • Expertise in real-time decision-making and dynamic optimization.

Responsibilities

  • Research and implement innovative machine learning algorithms.
  • Collaborate with teams to standardize advanced data science solutions.

Skills

Machine Learning
Python
SQL
Big Data Technologies
Predictive Analytics
Optimization Techniques

Education

Master's degree in Computer Science

Tools

TensorFlow
PyTorch
Scikit-learn

Job description

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 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.

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. 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
  1. 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.
  2. Develop cutting-edge algorithms that balance business constraints, customer behavior, and engagement objectives to ensure optimal, data-driven offers.
  3. Enhance models to develop scalable solutions, ensuring their applicability across products, partners, and diverse data sources (partner, product, performance, and 3rd party) to enrich algorithms and demonstrate measurable business impact.
  4. 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.
  5. Collaborate with cross-functional teams to establish best practices for developing, automating, and standardizing advanced data science solutions, specifically focusing on real-time adoption.
  6. Work with Data Science Team Leads to integrate algorithms into production systems through rapid iteration and testing.
YOU ARE SOMEONE WITH
  • Over five years of experience researching, designing, and developing machine learning algorithms with a focus on solving real-world business problems.
  • Expertise in developing algorithms for real-time decision-making or dynamic optimization problems, such as offer allocation, pricing, or recommender systems.
  • 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 frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Advanced SQL skills and familiarity with relational databases for manipulating large datasets.
  • Ability to conceptualize, design, and communicate complex algorithms clearly to technical and non-technical stakeholders.
  • Innate curiosity to solve complex problems, derive insights, and iterate on solutions.
  • Strong business acumen and ability to align data science initiatives with commercial goals for measurable impact.
  • A Master's degree or equivalent in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related fields.
WHAT YOU’LL LOVE ABOUT US
  • RRSP / 401(k) Matching / Pension 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, disability, sexual orientation, and other protected categories. We will provide accommodations upon request. Our interview process is designed to be positive and fair, including a take-home assessment or remote coding exercise, followed by a team interview. All candidates will receive feedback, and confidentiality is maintained.

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