Machine Learning Analyst

2 weeks ago

Sydney, New South Wales, Australia Luxury Escapes Full time

Be part of the team transforming global travel experiences
Luxury Escapes is one of the world's fastest-growing travel websites, with over 6 million members. We are growing rapidly & seeking a Machine Learning Analyst to join our team

Working at Luxury Escapes
Our mission is to delight our customers with incredible deals for the world's best holidays.

We are a collective of forward-thinking people, driven to challenge the travel industry and ourselves to bring outstanding travel experiences to our customer community.


  • Luxury Escapes is an inperson company, with 4 days in the office, and 1day WFH._

About the team


With machine learning at our core, the Luxury Escapes Recommendation Engine (LERE) team strive to understand each customer's preferences and travel dreams, ensuring a seamless and personalised journey from desire to destination.


Here are some challenges we're tackling:

  • Personalisation at Scale
  • How do we ensure that each of our millions of users has a personalised customer journey that reflects their unique preferences?


 Realtime Recommendations
  • Implementing strategies to provide instantaneous suggestions as users interact with our platform.
  • Full customer journey coverage
  • Expand the utilisation of our models across touchpoints throughout the customer journey and across all product lines (hotels, tours, cruises, flights, experiences etc).


 Scalable ML Infrastructure
  • Building and maintaining a robust infrastructure that can support our expanding suite of machine learning models and handle the massive influx of data.

About The Role


This role is uniquely positioned in the team as we have a growing need for developing and productising Machine Learning solutions.

Working with our product managers, data scientists, ML and software engineers you will own the observability of our recommendation systems and initiatives.

You will have a strong bias for action and as you uncover opportunities you will be able to present them to the team and help steer the direction of our Machine Learning at Luxury Escapes.


Responsibilities include:

  • Implement dynamic dashboards to measure our recommendations systems and initiatives performance.
  • Carry out ad hoc data analyses to identify new opportunities, scope and assess projects values.
  • Perform root cause analysis to improve our evaluation processes and tools reliability.
  • Be proactive in continuously enhancing the quality of the data that underpin our models.
  • Contribute to metric and experiments design to evaluate our models online performance.

Relevant skills:

  • Well versed in Statistics.
  • SQL (we use PostgresSQL and Google BigQuery).
  • Visualisation (we use Looker Studio and Tableau).
  • Strong analytical skills with the ability to interpret complex data and present findings.
  • Familiarity with Python data analysis packages such as pandas, seaborn and plotly.
  • A keen interest in recommendations systems and machine learning.

What's in it for you?
We consider our people one of our most important assets - and we want our team to love their working lives When you work for Luxury Escapes, you can look forward to:

  • Excellent Remuneration package
  • 20% Discount on Luxury Holidays and Experiences
  • Breakfast and lunch are provided 5days a week
  • Wellbeing programs
  • A bonus day of birthday leave
  • A super collaborative team that enjoys creating great platforms
  • We embrace diversity in our people and make hiring decisions based on your experiences and skills. We do not discriminate based on gender identity, religion, race, national origin, sexual orientation, age, marital status, or disability status. You'll find a collaborative, inclusive, and respectful workplace here at Luxury Escapes, and we are proud to celebrate who you are. Please let us know if you require any reasonable adjustments during the interview process._
**We are a 2024 Circle Back Initiative Employer, committing to responding to every applicant.

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