Senior Data Scientist

hace 4 meses

Bogotá, Colombia Amadeus A tiempo completo

Job Title

Senior Data Scientist

About Your Business Area/Department:

Kambr, an Amadeus company, is a leading revenue management software provider for the commercial airline industry and we are dedicated to transforming how airlines optimize their revenue. Our data science department plays a crucial role in this mission, leveraging advanced analytics and machine learning to develop innovative solutions that drive strategic decision-making. Join us to be at the forefront of data-driven innovation in the airline industry.

Summary of the role:

As a Senior Data Science Engineer at Kambr, you will play a crucial role in enhancing our revenue management solutions for the airline industry. Working as a key member of our data science team, you will collaborate closely with software engineers, product managers, and business analysts to develop and implement advanced data-driven solutions. Your responsibilities will include designing and scaling machine learning models, building robust data pipelines, and transforming complex datasets into actionable insights that drive strategic decisions.

Your expertise will be pivotal in optimizing our analytics applications and ensuring the successful integration of data science innovations into our products. A strong focus on impact, creativity in problem-solving, and the ability to lead projects from conception through to deployment are essential for success in this role. You will also mentor junior team members and contribute to the continuous improvement of our data science processes.

Reporting to the Manager of Data Science, you will help shape Kambr’s data-driven strategies, collaborate with diverse teams across Amadeus, and drive the evolution of our solutions to meet the evolving needs of the airline industry.

In this role you’ll:

Design and Implement Solutions: Develop and deploy advanced machine learning models and data analysis algorithms that drive key business outcomes and enhance our revenue management solutions.

Collaborate Across Teams: Work closely with software engineers, product managers, and business analysts to integrate data science innovations into our products and ensure they deliver actionable insights.

Optimize Data Infrastructure: Build and maintain scalable data pipelines and infrastructure, ensuring high performance and reliability in processing large datasets.

Mentor and Lead: Provide guidance and support to junior data scientists, helping them grow their skills and contribute effectively to team projects.

Drive Impact: Analyze complex datasets to uncover trends and insights, and lead efforts to translate these findings into strategic recommendations and improvements.

Engage with Customers: Interact directly with airline customers to present and introduce new data science products, troubleshoot any issues, and provide advisory services to ensure their success with our solutions.

Support Strategic Initiatives: Collaborate with cross-functional teams to align data science projects with Kambr’s strategic goals and drive continuous improvement in our solutions.

About the ideal candidate:

You are a seasoned data science professional, a background in revenue management is preferred or similar experience to develop sophisticated models and strategies that directly impact revenue optimization for airlines.

Expertise: Hands-on experience in developing and implementing data-driven solutions.

Advanced Technical Skills: You excel in designing and deploying machine learning models and data analysis algorithms. Your proficiency in Python, R, or similar programming languages, along with your experience with SQL, sets you apart.

Collaborative Mindset: You thrive in a team environment and have demonstrated success in working cross-functionally. Your ability to translate complex data insights into actionable recommendations is a key strength.

Customer-Oriented: Your experience includes interacting with clients, where you’ve helped introduce new products, troubleshoot issues, and provide expert advisory services.

Leadership Qualities: You are a mentor and leader, capable of guiding junior team members and influencing project outcomes. Your ability to drive projects independently and your strategic thinking will help advance Kambr’s data science initiatives.

What we can offer you:

A critical mission and purpose - At Amadeus, you will be powering the future of travel and pursuing a critical mission and extraordinary purpose.

A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.

Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, through on-the-job training, formal learning activities, and day-to-day interactions with colleagues.

A caring environment - Amadeus fosters a caring environment, nurturing both a fulfilling career and personal and family life. We care about our employees and strive to provide a supportive work environment.

A complete rewards offer - Amadeus provides attractive remuneration packages, covering all essential components of a competitive reward offer, including salary, bonus, equity, and benefits.

A flexible working model - We want our employees to do their best work, wherever and however it works best for them.

A diverse and inclusive community - We are committed to leveraging our uniquely diverse population to drive innovation, creativity, and collaboration across our organization.

A Reliable Company - Trust and reliability are fundamental values that drive our actions and shape long-lasting relationships with our customers, partners, and employees.

Diversity & Inclusion

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

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

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