Full-Time Senior Data Scientist
ATPCO is hiring a remote Full-Time Senior Data Scientist. The career level for this job opening is Experienced and is accepting Herndon, VA based applicants remotely. Read complete job description before applying.
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ATPCO
Job Title
Senior Data Scientist
Posted
Career Level
Full-Time
Career Level
Experienced
Locations Accepted
Herndon, VA
Salary
YEAR $117700 - $165000
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Job Details
ATPCO is seeking an experienced Senior Data Scientist to join our team dedicated to tackling some of the most exciting and impactful data challenges within the airline industry. This role offers an opportunity to develop innovative Artificial Intelligence (AI), Machine Learning (ML), and Data Science solutions for rapidly evolving airline industry, harnessing hundreds of terabytes of data daily, and leveraging the latest AWS technologies to drive innovation at scale. As a Senior Data Scientist at ATPCO, you will play a critical role in shaping the future of airline pricing and demand analytics, transforming vast datasets into actionable. You will work closely with cross-functional teams, contributing to product innovations and enhancing the airline industry's data ecosystem. This role is ideal for those passionate about solving complex challenges and advancing the use of data to optimize airline operations and pricing strategies.
Key Responsibilities
- Advanced Data Strategy & Pipelines: Lead the gathering, cleaning, and preprocessing of complex time-series and other datasets from multiple sources. Design and optimize robust data pipelines that ensure high data quality and consistency for advanced modeling work.
- Innovative Algorithm & Model Development: Design, develop, and fine-tune advanced predictive models to forecast demand and changes in market trends, leveraging techniques such as deep learning, reinforcement learning, and statistical methods. Create sophisticated algorithms to detect nuanced market dynamics. Continuously evaluate model performance and iterate on solutions to enhance accuracy, reliability, and scalability, taking responsibility for the end-to-end lifecycle of AI models.
- Machine Learning Optimization & Production Deployment: Champion the integration of machine learning techniques to streamline data collection and improve delivery processes. Oversee the deployment of models into production systems, ensuring seamless integration with real-time decision-making infrastructure. Collaborate with data engineers and DevOps teams to guarantee that models operate under optimal conditions and can quickly adapt to changing data patterns.
- Strategic Cross-Functional Collaboration: Act as a key liaison between technical teams and business stakeholders, ensuring data-driven insights align with strategic business goals. Mentor and guide junior team members while fostering a collaborative environment to support cross-functional project initiatives. Translate complex analytical findings into actionable strategies, leveraging clear data visualizations, comprehensive reports, and engaging presentations.
- Leadership & Continuous Improvement: Provide technical leadership in the evaluation of advanced models, establishing best practices for model development, validation, and continuous improvement. Proactively monitor emerging trends in data science and AI, integrating innovative practices into team workflows to maintain a competitive edge.
The Ideal Candidate
- Proven Senior-Level Expertise: Extensive experience as a Data Scientist with a demonstrated track record in developing and deploying advanced predictive models, particularly with time-series and structured/unstructured data. Prior experience in leadership, mentoring, and guiding technical teams in a dynamic, results-driven environment.
- Advanced Technical Proficiency: Mastery of SQL and advanced programming skills in Python or R, with deep familiarity in data manipulation libraries (e.g., Pandas, NumPy, SciPy) and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). In-depth understanding of statistical methods, machine learning algorithms, and state-of-the-art time-series analysis techniques.
- Expertise in Cloud & Big Data Technologies: Experience with cloud platforms and big data technologies (e.g., Apache Spark, AWS Redshift, AWS SageMaker) to support scalable model deployment and data processing.
- Strategic Communication & Visualization: Exceptional ability to articulate complex technical concepts to a diverse audience, including non-technical stakeholders, using data visualization tools (e.g., Tableau, AWS Quick Sight, Matplotlib, Seaborn) effectively.
- Domain-Specific Experience: Familiarity with the airline industry’s pricing, revenue management, distribution or network planning challenges is highly advantageous.
- Educational Background: Advanced degree (Master’s or PhD) in Computer Science, Statistics, Mathematics, Analytics, Airline Management or a related field, with a strong emphasis on AI and machine learning.
FAQs
What is the last date for applying to the job?
The deadline to apply for Full-Time Senior Data Scientist at ATPCO is
10th of September 2025
. We consider jobs older than one month to have expired.
Which countries are accepted for this remote job?
This job accepts [
Herndon, VA
] applicants. .
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