Data Scientist
Boston
KAYAK
KAYAK searches hundreds of other travel sites at once to find the information you need to make the right decisions on flights, hotels & rental cars.KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car, cruise, or vacation package. We’re also transforming the in-travel experience with our app and new accommodation software. For more information, visit www.KAYAK.com.
As an employee of KAYAK, you will be part of a global network that includes OpenTable and KAYAK's portfolio of metasearch brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined. Many employees are dedicated to one brand, but we all have the benefit of using each others strengths and insights. Together, we're able to help people experience the world through dining and travel.
"Love numbers" is one of KAYAK's core cultural values, and being the leading travel search engine worldwide means that we have a lot of numbers and data. Our marketing data science team uses that data to better enable KAYAK to share our product with travelers around the globe. We want to enable everyone to be confident in travel planning.
Our team's projects can draw from the following skills: assembling data sources from square one, parsing and cleaning data, mining for insights, building and improving models, crafting and running experiments, communicating results and giving recommendations to partners outside our team, and driving business decisions or technical changes to our product.
A sample of projects that our team at large works on include:
- Building predictive models used by our in-house bidding platform
- Building bidding / budgeting algorithms, and running experiments to analyze its impact
- Building reporting solutions to monitor performance metrics across marketing channels.
- Forecasting business KPIs, optimizing budget allocation across marketing channels
- Running experiments for impact and user journey analyses.
- On the cutting edge of marketing, we use NLP and image processing techniques to optimize ad creatives and landing pages.
We are looking for a “full-stack” data scientist with an emphasis on data analysis to join our team. An ideal candidate will take full ownership of driving analysis driven projects to gain insights from data while bringing stakeholders on board with evidence-based reasoning and compelling storytelling. They will draw insights from data, bring statistical rigor, and partner with product managers and other data scientists on the team to build/ maintain and improve our existing data driven models.
This position will be hybrid based in the Cambridge (US) office.
Please apply if:
- Masters or higher degree in statistics, data science, computer science, economics or any other quantitative field
- Experience with hypothesis testing, experimental design, sample size calculations, statistics and ability to draw conclusions giving sophisticated treatment to real-life data uncertainties
- Extensive experience with data manipulation, extraction using relational and/or NoSQL databases
- Ability to write scalable, maintainable code (we use Python) for drawing inference from data
- A storyteller's approach to analysis: not satisfied with only "what", but "why?", "how?", and "what next?"
- Desire to make business impact, loves problem solving and develops creative, tailored approaches
- Great communication skills- capable of bridging business and technology
- 2+ years of industry experience in a related role
- Natural Language Processing / Natural Language Understanding experience is a plus
- Online advertising / E-commerce / marketing domain experience is a plus
Benefits and Perks
- 4 weeks paid vacation
- Ability to work from almost anywhere
- Day off on your birthday
- Generous retirement plans
- Awesome health, dental and vision insurance plans
- Flexible Spending Accounts
- Headspace Subscription
- No Meeting Fridays
- Drinks, coffee, snacks, games etc.
- Weekly catered lunches
- Flexible hours
- Regular team events/excursions
- Universal Paid Parental leave
Diversity and Inclusion
We aspire to have a workplace that reflects all of the diverse communities we serve. We know that when we have diverse teams we produce more creative ideas, products, and better outcomes for our team members. OpenTable/KAYAK is proud to be an Equal Opportunity Employer and we welcome and encourage candidates from all backgrounds and experiences to apply for roles on our team. Whoever you are, just be you.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
#LI - BB1
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis E-commerce Economics KPIs NLP NoSQL Python Statistics Testing
Perks/benefits: Flex hours Flex vacation Health care Lunch / meals Parental leave Team events Travel
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Data Analytics Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open ETL Developer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs