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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.
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.
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.
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.