Associate Director of Data Science
Needham, MA, United States (Remote / Hybrid)
Applications have closed
TripAdvisor
Plan your next trip, read reviews and get travel advice from our community on where to stay and what to do. Find savings on hotels, book the perfect tour or attraction, and reserve a table at the best restaurants.We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.
Tripadvisor is looking for a team lead to oversee the machine learning efforts of our Performance Marketing team. As an Associate Director on Tripadvisor’s Machine Learning team, you will have the opportunity to lead and develop current ML team members, while also becoming the default ML subject matter expert within Performance Marketing. Some common problem spaces we face on Performance marketing include building models for bidding in online advertising, user propensity modeling, recommendation models to power landing page content, experimental design and analysis, and attribution. Performance marketing is a cross-cutting function, having applications across multiple business verticals.
Beyond leading a team of ML scientists, you will also be expected to work cross-functionally with analysts, software engineers, data engineers, product managers, and more - developing and driving forward with your own agenda and roadmap for Machine Learning while fitting in with the larger goals of the business unit. The ideal candidate for this role should be comfortable with and have some experience operating in this or a similar capacity. This position will report directly to the Director of Machine Learning.
What you will do:
- Lead a team of 3-5 scientists, operating as both a technical and people lead.
- Develop roadmaps and identify growth opportunities that align with the company vision and solve key business problems in the Performance Marketing space.
- Oversee the building of advanced supervised and unsupervised machine learning models - e.g. XGBoost/LightGBM, deep learning models, bandit/Bayesian algorithms, time-series modeling, and more.
- Research new machine learning solutions to complex business problems.
- Guide experimentation efforts and advance rigor and process in this space by establishing best practices across different experimentation types.
- Communicate plans and findings to non-technical audiences and be the face of your team in cross-functional meetings.
- Lead by example with documentation and best practices.
What you will bring to the team:
- PhD or Masters in Computer Science, Engineering, Statistics, or related quantitative field
- Excellent communication skills.
- Strong background in machine learning and statistics.
- Experience with Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn; PyTorch experience a plus).
- Experience managing the deployment and maintenance of ML models in production.
- Experience using ML and complex statistical analyses in performance marketing space (preferred)
- Solid knowledge of experimental design and causal inference (preferred)
- 6+ years of industry experience in data science or machine learning.
- Minimum 2 years of experience as a team lead.
What you’ll get
- Highly competitive salary along with the following
- Annual bonus
- Generous Stock Award upon joining
- Additional stock awarded annually
- Excellent 401K
- Full family private medical cover
- Full dental cover
- Flexible working hours
- Flexible summer working schedule
- Time off between Christmas and New Year (on us!)
- Annual travel and wellbeing allowance ($1200+)
- Critical illness plus full life cover
- Childcare vouchers
- Cycle to work scheme
- Employee assistance program.
We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at greenhouse@tripadvisor.com.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bayesian Causal inference Computer Science Deep Learning Engineering LightGBM Machine Learning ML models NumPy Pandas PhD Python PyTorch Research Scikit-learn Statistics XGBoost
Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Salary bonus
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