Data Scientist

Company Description

ATPCO is the foundation of flight shopping, providing pricing and retailing data, tools, and services to 500+ airlines, global distribution systems, sales channels, and technology companies. ATPCO links the entire airline community together, collaborating to develop industry standards for airline distribution and end-to-end technology solutions. From shopping to settlement, ATPCO solutions work seamlessly across existing, new, and evolving technologies and methods. Airline-owned and reliably supporting air travel for more than 55 years, ATPCO is everywhere people buy flights.

Employees are eligible for our benefits package including employer matched 401(k), group health insurance and wellness programs, paid time off, tuition reimbursement, standby flight program and employee collaborated work and life standards.

We consider qualified applicants for employment without regard to race, gender, age, color, religion, national origin, citizenship status, marital status, disability, sexual orientation, protected military/veteran status, gender identity or expression, genetic information, marital status, medical condition, or any other legally protected factor.

Job Description

We are seeking a highly motivated Data Scientist with a passion for leveraging data to understand and optimize airlines operations. The ideal candidate will have a strong background in statistical analysis, machine learning, and data integration techniques, with a focus on extracting insights from time-series data and detecting market dynamics. As a Data Scientist specializing in airlines demand and pricing data, you will have the opportunity to work with cutting-edge technologies and collaborate with cross-functional teams to shape the future of airlines analytics 

You Will: 

• Gather, clean, and preprocess time-series and other data from multiple sources, including data coming from S3, Redshift, MySQL, APIs ...etc. 

• Develop algorithms to detect market dynamics such as undercuts and competitive position changes over time, with input and guidance from senior data scientists and subject matter experts. Identify outliers and anomalies in the data and collaborate with the team to investigate their underlying causes. 

• Build predictive models to forecast demand and anticipate market trends.  

• Utilize machine learning techniques to optimize data collection and delivery. 

• Work closely with cross-functional teams to understand business objectives and translate them into analytical solutions. Collaborate with data engineers to ensure data quality and consistency. 

• Evaluate the performance of predictive models and iterate on their design to improve accuracy and reliability. Assist with models’ deployment into production systems to support real-time decision-making. 

• Communicate findings and recommendations to non-technical stakeholders through data visualization, reports, and presentations. Translate complex technical concepts into clear and actionable insights. 

The Ideal Candidate: 

• Proven experience as a Data Scientist or similar role, with a focus on analyzing and modeling time-series data. 

• Proficiency in SQL and programming languages such as Python or R, with experience using data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy). 

• Strong understanding of statistical methods, machine learning algorithms, and time-series analysis techniques. 

• Experience working with structured and unstructured data sources, as well as data preprocessing and cleaning techniques. 

• Familiarity with cloud and big data technologies such as Spark, Redshift or AWS SageMaker is a plus. 

• Excellent communication skills with the ability to effectively communicate technical concepts to non-technical stakeholders. 

• Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn) is preferred. 

• Experience with airlines pricing and revenue management or network planning is preferred. 

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 

Why Join Us: 

• Opportunity to work at the intersection of data science and aviation, shaping the future of airlines analytics. 

• Collaborative and dynamic work environment with opportunities for professional growth and development. 

• Competitive salary and benefits package, including healthcare, retirement plans, and flexible work arrangements. 

If you are passionate about leveraging data to drive innovation in the airlines industry, we want to hear from you! Apply now to join our team and make an impact in the world of airlines analytics. 

Additional Information

All your information will be kept confidential according to EEO guidelines.