Tripadvisor
Travel
PrincipalProductDataScientist
“Principal Product Data Scientist at Tripadvisor. Skills: Product Data Science, Machine Learning, AI, Data Strategy. Lead Data Science strategy for Product. Define Data Science strategy for Product”
What You'll Achieve.
Drive strategic impact; Improve customer experiences; Deliver commercial value; Deliver customer value
Industry & Context.
Critical thinking; Rational analyses; Skeptical analyses; Unbiased analyses; Rational evaluation; Skeptical evaluation; Unbiased evaluation
What They're Looking For.
Must Have
Extensive experience in data science, Expert Level proficiency in Python, Expert Level proficiency in SQL, Hands-on experience with statistical modeling, Hands-on experience with (quasi) experimentation, Hands-on experience with multi-arm bandit, Hands-on experience with machine learning techniques, Demonstrated ability to define product metrics, Demonstrated ability to implement product metrics, Demonstrated ability to operationalize product metrics, Proven ability to lead technical discussions, Proven ability to drive product strategy, Proven ability to communicate complex insights, Experience scaling analytics capabilities, Experience driving impact through automation, Experience driving impact through self-service tools, Experience driving impact through data products, Leadership skills, Bachelor's degree in Statistics, Bachelor's degree in Mathematics, Bachelor's degree in Data Science, Bachelor's degree in Engineering, Bachelor's degree in Physics, Bachelor's degree in Economics
Nice to Have
Advanced programming background, Ability to build simulations, Ability to prototype data products, Experience validating quantitative findings with qualitative methods, Demonstrated experience with applied AI, Experience with NLP, Experience with Large Language Models, Experience with Agentic AI for analytics, Experience working within a two-sided marketplace, Experience working within e-commerce, Experience working within travel technology industry, Masters degree or equivalent relevant programs
What You'll Do.
Lead Data Science strategy for Product
Define Data Science strategy for Product
Ensure advanced analytics are central to product building
Ensure data science methodologies are central to product
Ensure AI methodologies are central to product building
Ensure advanced analytics improve customer experiences
Ensure data science methodologies improve customer experiences
Ensure AI methodologies improve customer experiences
Serve as strategic advisor to Product leadership
Serve as strategic advisor to Engineering leadership
Ensure data-driven decision making is embedded
Drive development of data science tooling
Drive adoption of data science tooling
Drive development of data science platforms
Drive adoption of data science platforms
Drive development of data science frameworks
Drive adoption of data science frameworks
Spearhead exploration of emerging AI technologies
Spearhead integration of emerging AI technologies
Identify high-impact use cases
Develop high-impact use cases
Champion best practices in experimentation
Champion best practices in causal inference
Champion best practices in uplift modeling
Ensure statistical rigor in decision-making
Take ownership of complex analytical projects
Take ownership of high-profile analytical projects
Translate ambiguous questions into recommendations
Deliver commercial value
Deliver customer value
Mentor Data Scientists
Coach Data Scientists
Develop Data Scientists
Foster critical thinking
Foster continuous learning
Foster technical excellence
Lead initiatives to scale impact through automation
Lead initiatives to scale impact through self-service
Lead initiatives to scale impact through democratization
Develop sophisticated customer segmentation
Develop predictive models
Inform product roadmap
Optimize product roadmap
Communicate complex analytical concepts
Communicate complex technical concepts
How You'll Work.
Team & Collaboration
Cross-functional partners; Product teams; Engineering teams; Design teams; Commercial teams
Communication Scope
Cross-functional influence; Complex insights; Diverse audiences
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