Machine Learning Scientist II

TN United Kingdom; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a talented Data Scientist to join their innovative team. In this role, you will tackle a variety of challenges by building and optimizing pricing algorithms, applying advanced statistical methods, and collaborating with both technical and non-technical partners. Your expertise in machine learning and data analysis will be crucial in framing business problems as data science challenges. This dynamic environment encourages continuous learning and experimentation, making it a perfect fit for those passionate about using data to drive business success. If you're ready to make a significant impact, this opportunity is for you!

Qualifications

• Strong foundation in Machine Learning and statistical methods.
• Experience in programming languages and data analysis.

Responsibilities

• Build and optimize pricing algorithms using statistical methods.
• Communicate complex analytical topics to various partners.

Skills

Machine Learning Techniques

Statistical Methods

Data Analysis

Communication Skills

Feature Engineering

Problem Framing

Education

Bachelor's degree in Computer Science

Master's degree in a technical subject

Tools

Python

R

SQL/Hive

Java

TensorFlow

Spark

Hadoop

Job description

This role sits centrally within the organization offering a diverse perspective and a vast array of challenges.

We build end-to-end solutions for optimizing standalone pricing algorithms and contributing substantial value to PLS and our partners.

We embrace test and learn by continuously experimenting, analyzing and improving our algorithms which has helped PLS become the fastest growing business within Expedia Group.

What you’ll do:

1. Applying statistics methods like confidence intervals, point estimates and sample size estimates to make sound and confident inferences on data and A/B tests
2. Building pricing algorithms and configuring the in-house machine learning systems
3. Communicating complex analytical topics in a clean & simple way to multiple partners and senior leadership (both internal & external)
4. Conducting feature engineering and modifying existing models/techniques to suit business needs
5. Modeling rich and complex online travel data to understand, predict and optimize business metrics to help improve the partner experience
6. Framing business problems as data science problems with a concrete set of tasks
7. Collaborate with technology and business divisions as appropriate
8. Articulate solutions, methodologies and frameworks concisely to both technical and non-technical partners

Who you are:

1. Bachelors or Master's degree in a technical, or analytical-related, subject such as Computer Science (with focus in areas like Artificial Intelligence, Machine Learning, Natural Language Processing, Data Mining, Data Science), Mathematics, Physics, Statistics, Operations Research, Electrical and Computer Engineering or equivalent experience.
2. Must have a base knowledge of ML techniques like Regression, Naïve Bayes, Gradient Boosting, Random Forests, SVMs, Neural Networks, and NLP
3. Must have some experience with a programming, statistical, and/or querying languages like Python, R, SQL/Hive, Java
4. Helpful to understand distributed file systems, scalable datastores, distributed computing and related technologies (Spark, Hadoop, etc.); implementation experience of MapReduce techniques, in-memory data processing, etc.
5. Helpful to be familiar with TensorFlow, and cloud computing (AWS specifically, in a distributed computing context)
6. Helpful to be able to effectively communicate and engage with a variety of partners (e.g., internal, external, technical, non-technical people)

Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit.