Operations Research (Lead Data Scientist)

Infosys is seeking an Operations research – Lead Data scientist smart, self-driven, highly energetic talent with top notch communication skills, intellectual curiosity and passion for analytics. Our Data scientist should have a blend of in-depth domain expertise in Airlines Industry. We are looking for the talent to work with clients and understand the issues they face, diagnose problems, design solutions and facilitate solution deployment. One should be an individual contributor and lead small teams depending on the project. You will be pivotal to problem definition, design and development of the overall solution. One also could shape value-adding consulting solutions for clients.

Industry knowledge- Should know principles of industry lexicon, Basic understanding of industry standards to document current customer compliance and gaps.
Functional knowledge- Shows excellent understanding of processes in relevant functional areas of Airlines Industry.

• Identifies, investigates and introduces industry leading concepts to solve complex business problems leveraging big data
• Responsible for driving product enhancements, and/or research & development activities independently or as part of a team, with an orientation to locating opportunity, generating practical business solutions, and delivering value
• Leverages understanding of the business process and in-depth knowledge of business systems to identify and implement solutions and influences business processes that will result in significant bottom-line contributions and/or efficiency improvements
• Stays abreast of changing business trends and enable the company in staying ahead of its competition
• Set short and medium-term direction for research efforts
• Designs and/or implements mathematical models to drive critical financial, operational and/or strategic decisions
• Some communication and presentation to organization leaders are required, with emphasis on data visualization skill, quality and timeliness
• Share accountability for training other staff professionals within the organization
• Mentor individuals for acquiring and/or maintaining the technical skills for which scientist can serve as the subject matter expert
• Develops and delivers presentations aligned with CIEO standards

At Infosys, you may look forward to collaborating with some of the best talent in the industry to create innovative high quality and defect-free solutions to meet our clients’ business needs. We drive a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications:

• This position may require travel within US. Talent should be willing to relocate to the area of work
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of educatio
• At least 7 years of Information Technology experience
• 4+ years of airline or related business experience at successive levels in analytical fields solving complex business problems
• 2+ years of demonstrated ability in innovation to create business value through mathematical programming, statistics and/or econometric modeling
• 3+ years of in-depth experience in model prototyping through use of either optimization toolkit(s) including CPLEX, AMPL or OPL and/or statistical modeling/machine learning.
• Strong experience with C, R, Python or other structured programming language
• Advanced quantitative skills, subject matter knowledge and data source expertise in at least one business area, good business technical communication, verbal/written communication and presentation and sales skills
• Experience in working with stakeholders teams to gather business requirements and converting into requirement / Data Analytics use cases. Uses understanding of the problem to arrive at multiple solution alternatives.
• Experience managing teams of 10+ employees
• U.S. Citizenship or Permanent Residency required; we are not able to sponsor at this time

Preferred Qualifications:

• Masters or Phd degree in operations research or a related quantitative field
• 4+ years of airline or related business experience at successive levels in analytical fields solving complex business problems
• 5-7 years of advanced research industry experience in quantitative and analytical fields such as Operation Research, Statistics, and/or Econometric Modeling. Knowledge of United/Industry data sources
• Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams

The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.

About Us
Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation.

With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.