Senior Operations Research Scientist

at  Wheels Up

United States, , USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate20 Nov, 2024USD 160000 Annual22 Aug, 20243 year(s) or aboveEtl,Computational Physics,Industrial Experience,Computer Science,Industrial Engineering,Statistical Modeling,Data Analysis,Data Products,Sql,Optimization Techniques,PythonNoNo
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Description:

ACCOMMODATION FOR APPLICANTS WITH DISABILITIES

Wheels Up is an Equal Employment Opportunity / Affirmative Action employer and provides reasonable accommodation in its application process for qualified individuals with disabilities and disabled veterans. If you have difficulty using our online system due to a disability and need an accommodation, you may email us at hr@wheelsup.com or alternatively send a fax to 859-334-6552. In order to quickly respond to your request, please use the words “Accommodation Request” as the subject line of your email or as the title of your fax document

Qualifications:

  • Advanced Degree (preferably Ph.D.) in Operations Research or a related field such as Industrial Engineering, Applied Math, Computational Physics, or Computer Science
  • Industrial experience post-academia (3+ years is preferred), applying Operations Research and/or Data Science methodologies preferably in the logistics space
  • Strong programming experience in production environments using Python and SQL
  • Experience in machine learning algorithms, statistical modeling, and data analysis is valuable. Industrial experience in building data products, using machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) is a plus
  • 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.
  • Comfortable with modern solver libraries such as Gurobi
  • Strong theoretical and practical knowledge of optimization techniques
  • Solid understanding of network optimization methods (e.g. network flow, graph algorithms) is desirable
  • Experience with heuristic and metaheuristic methods for solving combinatorial optimization problem

Responsibilities:

ROLE OVERVIEW

Wheels Up Partners is a wholly owned subsidiary of Wheels Up. Its services include Private Membership, Aircraft Management, Maintenance, FBO services, Charter Operations, and Aircraft sales. We offer a challenging and rewarding career in an exciting and dynamic industry. This is a chance to join a team which has an incredible depth of knowledge as well as the drive to deliver service excellence to our clients across a wide variety of sectors from the military to ultra -high-net-worth individuals.
Wheels Up is looking for a world-class Sr. Operations Research Scientist in US-Remote to join our team of dedicated and passionate professionals, fueled by the most powerful brand in private aviation, as we continue our mission of democratizing the private aviation space through cutting-edge technology and innovative product and service offerings.

Responsibilities:

  • Contribute to existing OR algorithms, engines, and services, in the form of codebase maintenance, feature development, and algorithmic innovations
  • Master existing business models and algorithmic toolsets; contribute to or lead the innovation of next-gen models and algorithms utilizing various techniques in the field of Operations Research, AI/ML, statistics, and/or simulation
  • Stay up to date on cutting-edge technical developments and the state-of-the-art in the domain while balancing support of existing technology with new analytical ideas and solutions
  • Effectively communicate technical subject matters to various stakeholders with varying and diverse degrees of technical proficiency
  • Collaborate with engineering, product, operations, and business teams to understand data science needs and to help prioritize and deliver on technology roadmap

Qualifications:

  • Advanced Degree (preferably Ph.D.) in Operations Research or a related field such as Industrial Engineering, Applied Math, Computational Physics, or Computer Science
  • Industrial experience post-academia (3+ years is preferred), applying Operations Research and/or Data Science methodologies preferably in the logistics space
  • Strong programming experience in production environments using Python and SQL
  • Experience in machine learning algorithms, statistical modeling, and data analysis is valuable. Industrial experience in building data products, using machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) is a plus
  • 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.
  • Comfortable with modern solver libraries such as Gurobi
  • Strong theoretical and practical knowledge of optimization techniques
  • Solid understanding of network optimization methods (e.g. network flow, graph algorithms) is desirable
  • Experience with heuristic and metaheuristic methods for solving combinatorial optimization problems

Wheels Up Story:

At Wheels Up, you will help make the extraordinary possible. Our culture is rooted in a shared dedication to living our 5x5 Values - Safety, Trust, Accountability, Belonging and Innovation - the core of who we are and what we celebrate. At Wheels Up, our people are our success. Exploring a career at Wheels Up gives you a chance earn amazing compensation and benefits, helping you and your family have the type of balance you deserve in both your career, and life away from work:

  • Competitive salary
  • 401(k) with generous company contributions up to 6%
  • Paid time off including vacation, holidays, paid personal time, maternity and parental leave
  • Comprehensive health benefits including medical, dental, vision, short/long term disability and life benefits
  • Family care assistance through fertility support, surrogacy and adoption assistance, lactation support and programs that help with loved ones in all stages
  • Total Personal Well-being programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health
  • Career development programs to achieve your long-term career goal


REQUIREMENT SUMMARY

Min:3.0Max:8.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

United States, USA