Sr. Manager, Data Science at Wheels Up

, , United States -

Full Time

Start Date

Immediate

Expiry Date

19 Mar, 26

Salary

220000.0

Posted On

19 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, Predictive Modeling, Operational Efficiency, Data Analysis, Team Management, Software Development, Cloud Computing, ETL, Business Intelligence, Statistical Analysis, Optimization, Collaboration, Project Management, Communication

Industry

Airlines and Aviation

Description

Overview Join Our Team at Wheels Up At Wheels Up, we're proud to be a global leader in on-demand private aviation. As one of the largest companies in the industry and a strategic partner of Delta Air Lines – we are committed to making private air travel safe, reliable, and enjoyable. With a diverse fleet of owned aircraft plus a global network of trusted charter operators, we offer our customers access to the right aircraft for their needs and the ability to fly on their terms. And it doesn’t stop at private flights. Wheels Up also provides freight services, safety and security solutions, and managed services to individuals, businesses, government agencies, and more. Regardless of how, when or where you want to fly, our mission is simple; deliver a premium, personalized aviation experience for every customer. Responsibilities Role Overview: What You’ll Be Doing In this role, you will lead a high-performing data science team to develop predictive and optimization models that improve fleet utilization, operational efficiency, and member experience. You will partner closely with Operations, Revenue Management, Product, and Engineering to translate complex aviation challenges into scalable, data-driven solutions. You will drive the end-to-end data science roadmap—from strategy and model development to deployment and measurable business impact. Your Key Responsibilities (Essential Functions) Manage and mentor data scientists, ML engineers, and analysts. Drive team performance, career development, and hiring. Build a high-performing, collaborative data culture. Define the multi-year roadmap for analytics, ML, and optimization. Align with Engineering, Product, Operations, Revenue Management, and Finance. Prioritize projects based on business impact and organizational goals. Build Predictive and Prescriptive Models Drive Operational Efficiency Through ML/AI Lead Cross-Functional Data Initiatives Qualifications What You Bring to the Table: Education & Certification Requirements We’re looking for someone who has a unique mix of experience, skills, and passion for what we do: Ph.D., M.S., or bachelor’s degree in economics, Statistics, Machine Learning, Operations Research, or other quantitative fields. Strong programming experience in production environments using Python Comfortable with one or more modern solver libraries such as Gurobi or Xpress 7+ years of relevant data science experience 5+ years of people management experience, managing engineers Experience in partnering with product and program management teams Experience building complex software systems that have been successfully delivered to customers Experience with common engineering areas and architectural components around OR methodologies; for instance, relational DB's, cloud-computing environments, ETL and reporting/BI tools, etc. Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Ability to take a project from scoping requirements to the actual launch of the project Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs Proven track record building high-performing software development teams Passionate about delivering the right things for your customers at very high quality The Extras We Value (Preferred Requirements) While not mandatory, here are some additional things that would make you stand out: Familiarity with flight operations, crew scheduling, maintenance planning, charter operations, or fleet management. Hands-on experience with: MLOps frameworks (SageMaker, Vertex AI, Databricks MLflow) Distributed computing (Spark, Ray) Real-time data pipelines (Kafka, Kinesis) Machine learning algorithms, deep learning frameworks Data pipelines, feature engineering, and large-scale data processing What We Offer Salary Range & Benefits At Wheels Up, we believe in fair compensation based on experience, skills, and qualifications. The salary for this role ranges from $193,000 -$220,000, depending on a variety of factors. We don’t typically start individuals at the top of the salary range; your place within the range is based on what you bring to the table. Additionally, you may be eligible for a discretionary annual incentive program, which rewards individual and organizational performance. We also offer a range of benefits designed to support your well-being and personal life, including: Tuition Reimbursement Competitive 401(k) Comprehensive Medical, Dental, and Vision Insurance Complimentary access to mental health and wellness counseling through Spring Health Financial planning assistance A variety of additional programs and services in support of your total well-being Everyone is welcome here Each of us is unique, and that’s what makes us amazing. We believe there’s power in bringing people with different backgrounds, points of view and life experiences together. So, bring yourself and your best ideas. Wheels Up is committed to a policy of equal employment opportunity for applicants and employees. It is our policy to apply recruiting, hiring, training, promotion, compensation and professional development practices and make all other employment decisions without regard to actual or perceived race, color, religion, sex, national origin, age, disability, pregnancy status, genetic information, or any other characteristic protected by federal, state or local laws, regulations or ordinances. Because when we feel safe and comfortable being ourselves, there’s no limit to what we can achieve. Need Accommodations? If you have a disability or are a disabled veteran and need assistance with applying, please reach out to us at hr@wheelsup.com. Simply include “Accommodation Request” in the subject line so we can quickly address your needs. We look forward to learning more about you and how you can contribute to the Wheels Up journey!

Responsibilities

Lead a data science team to develop predictive and optimization models that enhance fleet utilization and operational efficiency. Collaborate with various departments to implement data-driven solutions and drive measurable business impact.