At a Glance
- Tasks: Lead AI-driven analytics projects and optimise workflows for impactful insights.
- Company: Expedia Group, a leader in travel technology and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and collaboration.
- Why this job: Shape the future of AI analytics and drive meaningful change in decision-making.
- Qualifications: Experience in product management and a passion for AI technologies.
The predicted salary is between 80000 - 100000 £ per year.
Expedia Group is seeking a Product Manager III to lead AI-powered analytics experiences across our data foundations. You will partner with engineering, analytics, and business stakeholders to define, build, and optimize intelligent analytics that help teams discover insights, automate workflows, and drive faster decisions.
You will shape product strategy, roadmaps, and success metrics for analytics-enabled initiatives, leveraging LLMs, RAG, and conversational interfaces to deliver value.
AI Analytics PM: Insights & AI-driven Workflows employer: Expedia, Inc.
At Expedia, Inc., we pride ourselves on being an excellent employer by offering a dynamic work culture that encourages innovation and collaboration. Our commitment to employee growth is evident through mentorship opportunities and continuous learning in cutting-edge technologies like AWS. Located in a vibrant tech hub, we provide our team with the unique advantage of working on mission-critical services that impact global pricing strategies while enjoying a diverse and inclusive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Analytics PM: Insights & AI-driven Workflows
✨Get Involved in Data Science Meetups
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✨Apply Directly through Our Website
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We think you need these skills to ace AI Analytics PM: Insights & AI-driven Workflows
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Expedia, Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Expedia, Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Expedia, Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Expedia, Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
