SR Data Science Engineer

Company Description

Yuxi Global is an American company with high functional teams across Latin America. 

We stay updated with the most modern, edge practices and technologies. Our teams are versatile, adaptable and have expertise in a wide range of programming languages, databases and frameworks.

This is your invitation to someone who loves working with the newest technologies and is on top of what’s next. Do you have a keen eye for performance and are you always seeking the highest quality in code? We are looking for someone like you!

Job Description

Our airline industry is going through a drastic transformation in the area of retailing and distribution that requires very advanced data analytics support to optimize revenue performance and customer experience. 

Our next Data Science Engineer applies expert-level statistical analysis, data modeling, and predictive analysis to strategic and operational problems for us.

As a key member of the team, you will leverage your statistical and business expertise to translate business questions into data analysis and models, define suitable KPIs, and graphically present results to a wide range of audiences including internal and external clients, sales, and development teams.

In addition,  you will source data from multiple different data sources, write high-quality data manipulation scripts in R, Python, Perl, bash, etc, and develop and apply data mining and machine learning algorithms for advanced analysis and prediction.

You will also utilize your strong communication skills to work with developers to support product development cycles and decision-makers who need empirical data to promote sales and growth.

Qualifications

Required Qualifications

•   Advanced English Level (B2/C1)
•    Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, or Machine Learning.
•    Proven ability to apply modeling and analytical skills to real-world problems.
•    Strong Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and statistical concepts (regression, properties of distributions, statistical tests, etc.).
•    Solid programming skills in 2-3 languages out of R, SQL, Python, TensorFlow, PySpark, Java, JavaScript, or C++. (Preferred languages: R, Python) 
•    Experience with the deployment of machine learning and statistical models on a cloud:
1.    MLOps within the enterprise CI/CD process for ML models – 2 years
2.    Experience deploying ML APIs in production environments in GCP using GKE – 2 years
3.    Experience in using GCP Vertex AI for ML and BigQuery – 1 year
4.    Knowledge in Terraform and Containers technologies – 2 years
5.    Experience writing data processing jobs using GCP Dataflow and Dataproc – 2 years
6.    Experience setting up ML model monitoring and autoscaling for ML prediction jobs – 1 year
7.    Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry, and Analytics Hub – 1 year

Desirable Qualifications
•    Familiarity with the airline, hospitality, or retailing industries and decision support systems employed there.
•    Experience developing customer choice models, price elasticity, and market potential estimation.
•    Understanding of airline distribution, pricing, revenue management, NDC, and Offer/Order Management concepts.

Responsibilities
•    Work with airline subject matter experts to identify opportunities for leveraging data to deliver insights and actionable predictions of customer behavior and operations performance.
•    Assess the effectiveness and accuracy of new data sources, data gathering, and forecasting techniques.
•    Develop custom data models and algorithms to apply to data sets and run proof of concept studies.
•    Leverage existing Statistical and Machine Learning tools to enhance in-house algorithms.
•    Collaborate with software engineers to implement and test production quality code for AI/ML models.
•    Develop processes and tools to monitor and analyze data accuracy and models’ performance.
•    Demonstrate software to customers and perform value-proving benchmarks. Calibrate software for customer needs and train customers for using and maintaining software.
•    Resolve customer complaints with software and respond to suggestions for enhancements.
 

Additional Information

Benefits

• Work-life integration: We support a work life balance and the opportunity to create a greater synergy between work; home; family; and personal well-being.
• Amazing Benefits: Paid health insurance, life insurance, saving programs and other benefits such as employee savings accounts.
• Training and Development opportunities: English training programs and other personal development opportunities.
• Equipment to get you started and other great perks.