Role Summary

This role leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making, while mentoring junior data scientists and analysts, and applying advanced data science and big data mining techniques to uncover trends, inform strategic initiatives, and drive innovation across diverse business functions.

Responsibilites
1. Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
2. Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.
3. Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
4. Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
5. Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
6. Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
7. Participates in special projects and performs other duties as assigned.
8. Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.
9. Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.
10. Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.
Qualifications and Skills

• Minimum of five years related work experience in analytical roles. Experience with data wrangling required - Programming skills to access, transform and prepare large scale data for statistical modeling. Experience utilizing statistical and machine learning methods required.
• Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study or equivalent combination of training and experience. Graduate degree preferred.
• Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

The Senior Data Scientist leads the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject matter expert (SME), responsible for the entire lifecycle of data analysis—from refining business requirements and developing sophisticated analytical models to provide strategic recommendations that improve organizational efficiency and mitigate insider threats. This role demands a blend of deep technical expertise, strong business acumen, and the ability to lead, manage, and support critical operational and policy-related initiatives.
Responsibilities include but are not limited to:

• Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models, visualizations, and tools to deter, detect, and mitigate insider threats.

• Apply expert knowledge of industry-standard data science principles to identify anomalous events and provide actionable intelligence.

• Strategic Business Analysis: Proactively collaborate with project requestors, senior stakeholders, and program managers to define, clarify, and refine complex business needs and strategic objectives. Utilize data-driven insights to recommend significant changes and process improvements.

• Process Improvement and Policy Operations: Lead, manage, and support business operations and policy development lifecycles. Serve as an SME for the development, review, coordination, promulgation, and compliance of enterprise-wide policies, including the maintenance of Self-Inspection Checklists and related documentation.

• Risk and Performance Analytics: Own the development and maintenance of sophisticated risk-scoring models and other data analytics tools. Drive the implementation and sustainment of data analysis platforms, ensuring system integrity by capturing and analyzing metrics on system errors, failures, and performance.

• Stakeholder Engagement and Communication: Translate complex quantitative and qualitative analysis into clear, compelling visuals, dashboards, and executive-level reports. Provide authoritative visual, technical, and editorial guidance, and confidently brief senior leadership on analytical findings, forecasts, and strategic recommendations.

• Data Governance and Integrity: Oversee the capture, maintenance, and accumulation of statistics, ensuring the accuracy of data related to timelines, product transfers between domains, and other key performance indicators.

Minimum Qualifications:

• 7+ years proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context and a

• Master’s Degree in Data Science, Statistics, Business, or a related field. In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor’s degree, 15+ years of experience

• Expert-level knowledge of data analytics and data science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts.

• Mastery of data visualization and dashboard development using data sets from various sources.

• Exceptional ability to transform complex data sets into compelling visuals, reports, and briefings for leadership.

• Direct experience supporting and maintaining risk-scoring models or similar predictive analytic systems.

• Proficiency in creating and editing visual content such as charts and graphs to represent data.

• Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python. Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization.

Preferred Qualifications:

• Experience in a leadership or mentorship role within a data analytics or business intelligence team.

• Familiarity with geospatial analysis, web development principles, or specific program leadership reporting structures

Clearance Requirements:

• Must have a current/active TS/SCI security clearance and be willing and able to obtain a polygraph.

Physical Requirements:

• The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

This role leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making, while mentoring junior data scientists and analysts, and applying advanced data science and big data mining techniques to uncover trends, inform strategic initiatives, and drive innovation across diverse business functions.

Responsibilities:

• Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.

• Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.

• Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.

• Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.

• Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.

• Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.

• Participates in special projects and performs other duties as assigned.

• Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.

• Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.

• Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.

Qualifications:

• Minimum 5 years of experience in data science, predictive analytics, or advanced statistical modeling roles

• Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI

• Bachelor’s degree in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master’s degree/Diploma in a related quantitative field

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

The Senior Data Scientist leads the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject matter expert (SME), responsible for the entire lifecycle of data analysis—from refining business requirements and developing sophisticated analytical models to provide strategic recommendations that improve organizational efficiency and mitigate insider threats. This role demands a blend of deep technical expertise, strong business acumen, and the ability to lead, manage, and support critical operational and policy-related initiatives.
Responsibilities include but are not limited to:

• Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models, visualizations, and tools to deter, detect, and mitigate insider threats.

• Apply expert knowledge of industry-standard data science principles to identify anomalous events and provide actionable intelligence.

• Strategic Business Analysis: Proactively collaborate with project requestors, senior stakeholders, and program managers to define, clarify, and refine complex business needs and strategic objectives. Utilize data-driven insights to recommend significant changes and process improvements.

• Process Improvement and Policy Operations: Lead, manage, and support business operations and policy development lifecycles. Serve as an SME for the development, review, coordination, promulgation, and compliance of enterprise-wide policies, including the maintenance of Self-Inspection Checklists and related documentation.

• Risk and Performance Analytics: Own the development and maintenance of sophisticated risk-scoring models and other data analytics tools. Drive the implementation and sustainment of data analysis platforms, ensuring system integrity by capturing and analyzing metrics on system errors, failures, and performance.

• Stakeholder Engagement and Communication: Translate complex quantitative and qualitative analysis into clear, compelling visuals, dashboards, and executive-level reports. Provide authoritative visual, technical, and editorial guidance, and confidently brief senior leadership on analytical findings, forecasts, and strategic recommendations.

• Data Governance and Integrity: Oversee the capture, maintenance, and accumulation of statistics, ensuring the accuracy of data related to timelines, product transfers between domains, and other key performance indicators.

Minimum Qualifications:

• 7+ years proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context and a

• Master’s Degree in Data Science, Statistics, Business, or a related field. In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor’s degree, 15+ years of experience

• Expert-level knowledge of data analytics and data science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts.

• Mastery of data visualization and dashboard development using data sets from various sources.

• Exceptional ability to transform complex data sets into compelling visuals, reports, and briefings for leadership.

• Direct experience supporting and maintaining risk-scoring models or similar predictive analytic systems.

• Proficiency in creating and editing visual content such as charts and graphs to represent data.

• Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python. Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization.

Preferred Qualifications:

• Experience in a leadership or mentorship role within a data analytics or business intelligence team.

• Familiarity with geospatial analysis, web development principles, or specific program leadership reporting structures

Clearance Requirements:

• Must have a current/active TS/SCI security clearance and be willing and able to obtain a polygraph.

Physical Requirements:

• The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

Mid level Data Scientist

. In this role, you will be supporting impactful projects that make a difference for our country.

Responsibilities

• Builds, maintains, and improves dashboards, applications, and automations. 
• Connects to APIs, system-to-system connections, and manual data transfers for ETL. 
• Builds predictive risk models using statistical analysis. 
• Applies AI/ML to extract insights from unstructured documentation. 
• Develops and carries out full-service data calls, including data normalization and visualization. 
• Creates business intelligence analysis and visualizations for management. 
• Improves methodologies and tools for risk assessment. 
• Researches and recommends business data storage/integration solutions. 
• Develops user guides and documentation for BI products. 
• Incorporates data science tools (SQL, R, Python, etc.) into services. 

Qualifications

• Strong proficiency with Power Platform, SharePoint, and InfoPath required. 
• Excellent understanding of machine learning techniques and algorithms. 
• Experience with common data science toolkits (R, Weka, NumPy, MATLAB, etc.) and BI tools (Power BI, Anaconda, SPSS). 
• Experience connecting to and manipulating data from federal systems preferred. 
• In absence of years of experience, certifications or past work may be used. 
• Ability to work on site 5 days per week
• An active Top-Secret level clearance is required
• #CJ

To be successful in your role as AVP – Data Scientist (Quantitative Analytics), you should have:

• Direct experience in designing, developing, and deploying machine learning or statistical models within financial services or similarly regulated industries.

• Working experience coding in Python and experience with machine learning and distributed data frameworks (e.g., scikit-learn, PyTorch, Spark). 

• Confirmed experience in areas such as Fraud detection, Credit Risk, and Anti-Money Laundering (or similar) in consumer banking.

Other highly valued skills include:

• Responsibility for of model lifecycle processes, from inception through development, deployment, and on-going maintenance.

• Experience with cloud platforms (AWS, Azure, or GCP) or ML-focused cloud-based services (e.g. Databricks) for advanced data analytics and/or machine learning.

• Practical experience applying DevOps/MLOps fundamentals—version control (Git), unit testing, CI/CD pipelines, modular code design—and experience operationalizing models in collaboration with technology teams.

• An understanding of model risk management, governance, controls, and documentation within the financial services' regulatory environment.

You may be assessed on the key critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills.

This role is located in Wilmington, DE.

Purpose of the role

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making

Accountabilities

• Design analytics and modelling solutions to complex business problems using domain expertise.
• Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
• Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
• Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
• Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
• Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
• Ensure all development activities are undertaken within the defined control environment.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Job Summary

Comcast’s Drexel Co-op Program offers an exciting opportunity to gain hands-on experience, build lasting connections, and grow professionally in a dynamic and inclusive environment. This paid, 6-month immersive experience places students at the heart of our business, working alongside talented professionals on meaningful projects that contribute to real outcomes. As a trusted member of the team, you’ll gain exposure to the inner workings of a global media and technology company while developing skills that will serve you well in any career path.

Job Description

Your experience will include: 

• Hands-On Learning & Impactful Work: Tackle real business challenges, collaborate across teams, and contribute ideas that drive results from day one. 

• Community, Connection & Giving Back: Build meaningful relationships through social events, peer engagement, and shared experiences. You’ll also have the opportunity to give back through Team UP, Comcast’s volunteer initiative, deepening your connection to both your community and your fellow students. 

• Mentorship & Support: Receive guidance from experienced professionals through our dedicated mentorship program, helping you navigate your co-op and beyond. 

• Professional Development: Participate in a custom onboarding experience, a curated learning series, and networking events designed to help you build new skills, explore career paths, and gain insights from professionals from across the organization. 

At Comcast, we’re committed to investing in the next generation of innovators and leaders. Our Co-op Program is a transformative experience designed to help you grow, connect, and take the next step in your professional journey. 

Organization & Team Overview 

Enterprise Business Intelligence is a center of excellence comprised of Engineers, Analysts, Scientists, and Machine Learning experts working to translate Comcast’s data into actionable intelligence that drives profitable growth for the company. As a member of this team, you’ll be at the forefront of developing data driven strategies to address business problems. 

Role Description 

Responsible for extracting knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance. Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. 

The team is composed of experts in artificial intelligence, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. The systems that the team builds get used across the multitude of Company data science-based services and deployments. Works independently with minimal-to-no supervision while also demonstrating the ability to lead projects and initiatives autonomously.  

What are some interesting problems the student will work on?  

In your role you will develop predictive models that power systems and provide insights to business leaders for critical decisions. You will measure and quantify the impact of business strategies on key business performance indicators. 

Where can this student make an impact?  

You will be working on exciting new technology that interjects AI and Machine Learning capabilities into core business processes to drive profitable growth for the company. 

Job Responsibilities 

Responsibilities include but are not limited to:  

• Interacts with product and service teams to identify questions and issues for data analysis and experiments. 

• Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. 

• Uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, lifetime value, propensity models). 

• Develops and executes statistical and mathematical solutions to business problems to support larger initiatives under the direction of senior team members. 

• Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. 

• Works with large, noisy, and complex datasets to produce analysis of historical patterns in customer behaviors and product performance from complex real-world behavioral data. 

• Develops and deploys predictive models based on historical data that provide future predictions about customer behavior. 

• Constructs forecasts, recommendations and strategic/tactical plans based on applying data science techniques to business data. 

• Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions. 

• Creates deliverables and presentations that report methodology and results of analysis. 

• Builds customer centric models and optimization tools to support large scale projects that utilize online and offline data, structured and unstructured data, set top box data and media/behavioral/attitudinal data. 

• Consistent exercise of independent judgment and discretion in matters of significance. 

• Other duties and responsibilities as assigned. 

Preferred Skills 

• Proficiency with Python, PySpark, and ML programming frameworks 

• Proficiency retrieving data using SQL 

• Understanding of statistical foundations for Experimentation 

• Understanding of predictive modeling concepts 

• Ability to articulate complex ideas in a simplified form 

• Understanding of data visualization concepts and programming frameworks 

• Preferred Majors: Data Science, Statistics, Mathematics, Econometrics 

Minimum Qualifications and Eligibility Requirements 

• Currently pursuing a bachelor’s degree from Drexel University, with a cooperative learning track. 

• Available to work 40 hours per week for 6 months starting September 22, 2026, through March 26, 2027. 

• Authorized to work in the United States with no current or future sponsorship needs 

• Available to report in-person to the work location on the job posting 

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Skills:

Relationship Building; Professional Etiquette; Accountability; Teamwork; Resilience; Communication

Salary:

Base Pay: $32.00
The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Relevant Work Experience

0-2 Years

Come join us to create what’s next. Let’s define tomorrow, together.

Description

United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.

Job overview and responsibilities
Provides mathematical modeling and analysis services to support critical financial, operational, and/or strategic planning decisions and engages in supporting project teams in value added activities that generate practical solutions to complex business problems, explores new business alternatives, and drives improvement in business decisions

• Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models using operations research, machine learning, and structured programming languages
• Identifies, researches, or solves large complex problems using big data and operations research and machine learning principles
• Leverages understanding of the business process to identify and implement operations research solutions that will result in significant bottom-line contributions
• Builds and develops operations research/optimization mathematical model applications, and provides client support leveraging operations research knowledge
• Participates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groups
• Raises concerns when scope of analysis may not align with time available and can choose an appropriate scope of analysis to conduct balancing ROI to time available
• Designs analytic plan/develop hypotheses to test; understands limitations of analysis (what it can and cannot be used for)
• Anticipates working team questions to data and approach
• Identifies solution quality risks and on-time risks
• Understands the business value, process, and expectations before focusing on choice of a technical solution
• Understands the intuition behind the numbers (i.e. does it make sense?)
• Provides on-going analytical services to client organizations
• Communicates results to management and clients
• Contributes deck content and builds the story for the deck with guidance to summarize findings
• Develops and delivers presentations aligned with Ai standards
• Speaks in a manner appropriate for working team and their level +1
• Keeps informed about the latest analytical methods and research in the operations research and analytics fields

QualificationsWhat’s needed to succeed (Minimum Qualifications):

• Advanced degree (PhD or ABD) in Operations Research or other related quantitative discipline involving quantitative analysis and application of advanced operations research principles
• Coursework or work experience with mathematical programming techniques
• Coursework or work experience in model prototyping through use of optimization toolkit(s) including CPLEX, AMPL, or OPL
• Coursework or work experience with C, C++, Java, R, Python, or other structured programming language
• Good business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environment
• Good interpersonal skills and ability to interact with clients

• Proficient with MS Office

• Successful completion of interview required to meet job qualification
• Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):

• Minor in computer science and/or formal advanced computer science coursework preferred
• 2+ years of professional experience in analytical field 
• 1+ years of airline business experience 
• 1+ years designing and programming/coding data structures for large-scale computer models
• Experience with Julia programming language
• Knowledge of United/industry data sources 
• Structured programming for large-scale computer models
• Demonstrated ability to create business value

The base pay range for this role is $117,610.00 to $153,146.00.

The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.

You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.

United Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact

[email protected]