Data Scientist 4

Amadeus; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

A leading tech company seeks a Data Scientist 4 with expertise in machine learning and data analysis. The role involves transforming data into insights, solving business problems using advanced techniques, and collaborating with stakeholders. The ideal candidate will have an advanced degree and a deep understanding of statistical and AI methods.

Qualifications

• Advanced technical knowledge in data science.
• Experience with machine learning and data analysis.
• Ability to collect and manage large data sets.

Responsibilities

• Transform data into actionable insights.
• Collect and manage data for complex analysis.
• Communicate results to business stakeholders.

Skills

Machine Learning

Data Analysis

Artificial Intelligence

Statistical Learning

High-Performance Computing

Pattern Recognition

Education

Advanced degree in Data Science or related field

Tools

Data Analysis Tools

Job description

Job Title

Data Scientist 4

Common accountabilities:

1. Has working experience and advanced and specialized technical/functional knowledge in own discipline. Understands how own area contributes to the business. Acts as a reference for colleagues with less experience and supports junior team members.
2. Influences decisions related to own activity, anticipating dependencies and consequences in complex scenarios, contributes to transversal projects, proposes improvements to processes, and is accountable for own and team commitments.
3. Works independently within plan dictated by manager, with some guidance on most complex situations.

Specific accountabilities:

• Transform data into insights to identify & quantify business opportunities. Solve business problems by employing machine learning, artificial intelligence, statistical learning, pattern recognition, or high-performance computing techniques:
• Collect and manage large data sets to perform complex data analysis.
• Implement data analysis algorithms on a large scale working closely with data engineering members.
• Communicate and translate complicated results & their implications to business stakeholders.
• Manipulate and analyze complex, high-volume, high-dimensional data from varying sources using a variety of tools and data analysis techniques.
• Identify data sources, both internal and external to Amadeus, and transform them into actionable insights that support fact-based decision making.
• Actively participate in a community of practice for data scientists.

Diversity & Inclusion

Amadeus aspires to be a leader in Diversity, Equity, and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and serving as a role model for an inclusive employee experience.

Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability, or any other characteristics protected by law.