Role Description:
About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

Qualifications & Skills:

• Bachelor’s or master’s degree in computer science, Engineering, Statistics, or a related field.
• Minimum of 5 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.
• Strong programming skills in Python (Additional knowledge in Java, Perl and Scala are an advantage) .
• Experience with cloud frameworks like AWS sagemaker and training models such as using TensorFlow, PyTorch, lightgbm or scikit-learn.
• Experience with data at scale using MySQL, Pyspark, Airflow, Snowflake and similar frameworks.
• Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, matplotlib and BI tools.
• Proficient knowledge of machine learning algorithms, statistical models, optimization and data structures.
• Experience with experimental design, causal inference, A/B testing, and evaluation metrics for ML models.
• Experience of working on products that impact a large customer base is an advantage
• Excellent communication in English; written and spoke

ROLE DESCRIPTION:

You’ll work with top notch engineers and machine learning scientists on bringing it to the next level and enabling optimal user experience while having a significant impact on the business. The work will focus on data and ML foundations for reusable training, optimization and deploying causal machine learning models.

KEY JOB RESPONSIBILITIES AND DUTIES:

• Model evaluation and optimization: Conduct detailed model evaluation metrics and validation to ensure accuracy, reliability, and scalability. Optimize model performance by fine-tuning hyper parameters, feature engineering, and applying techniques such as ensemble learning and continuous learning.
• Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets for model features and data monitoring. Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance
• Building machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide personalized recommendations to users.
• Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
• Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

Qualifications & Skills:

• Bachelor’s or master’s degree in computer science, Engineering, Statistics, or a related field.
• Minimum of 5 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.
• Strong programming skills in Python (Additional knowledge in Java, Perl and Scala are an advantage) .
• Experience with cloud frameworks like AWS sagemaker and training models such as using TensorFlow, PyTorch, lightgbm or scikit-learn.
• Experience with data at scale using MySQL, Pyspark, Airflow, Snowflake and similar frameworks.
• Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, matplotlib and BI tools.
• Proficient knowledge of machine learning algorithms, statistical models, optimization and data structures.
• Experience with experimental design, causal inference, A/B testing, and evaluation metrics for ML models.
• Experience of working on products that impact a large customer base is an advantage
• Excellent communication in English; written and spoken

THIS ROLE DOES NOT COME WITH RELOCATION ASSISTANCE.

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.