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Experienced Data Scientist

Hialeah, Florida Job ID JR2026493072 Category Data Science & Analytics Role Type Onsite Post Date Jan. 22, 2026
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Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Boeing Global Services,Distribution Business, is looking for an Experienced Data Scientist to join our team in Hialeah, FL.

The Senior Data Scientist will operate in a lead role, developing and building next generation Artificial Intelligence (AI) and Machine Learning (ML) products and services.

This position will work effectively with cross-functional teams and technical leads to determining, defining, and deploying analytics solutions to meet business goals.

At Boeing, we are already making a difference across the industry using AI and ML to deliver superior product experience to our internal functions and commercial and government customers. We are expanding and growing in all areas in the frontier of the aerospace industry. We already have some of the best minds and talents in this field, and we’re looking for someone with applied experience in AI and ML (including Natural Language Processing, Deep Learning, Conversational AI, and Computer Vision) to join our team in this senior data scientist role.

Position Responsibilities:  

  • Evaluate business objectives, determine stakeholder needs, and identify requirements

  • Choose best fit methods, define algorithms, validate, and deploy models to achieve business results

  • Perform necessary data preparation and enhancements to models

  • Interface directly with senior business leaders and stakeholders to architect and lead the development of advanced analytics solutions supporting Aircraft operations, Engineering, Manufacturing, Quality, and Safety

  • Working with data scientists leads across domains to ensure functional excellence in this technical field and will provide mentoring, technical leadership, and training to the data scientist community to accelerate and develop this talent base

  • Provide thought leadership for machine learning and advanced analytics methods at Boeing and externally

  • Engage with stakeholders across the business to identify applications across the enterprise, beyond the initial use case, and lead the implementation of these applications to capture business value

  • Evaluate technologies, assist in identifying capabilities gaps, develop and teach best practices and technology standards, and work alongside the rest of the global data scientists and technical leads in Analytics organization

  • Ensure analytics solutions meet the business requirements and are implemented in a timely manner to validate business value

  • Work effectively with cross-functional teams in the analysis of highly complex data sets using advanced analytics techniques such as machine learning, advanced statistical analysis, visual analysis, text analysis, mathematical optimization, and simulation

  • Identify modeling attributes and parameters

  • Follow best practices and standard processes for model validation and refinement as per business requirements

  • Assess performance of models and analysis and confirm that business objectives were met

  • Work with business unit stakeholders to develop and sustain analytics solutions

Basic Qualifications (Required Skills/Experience):

  • 5+ years of experience working with projects, teams, and/or leaders in the analytics and/or data science space

  • 5+ years of experience researching and applying large language and generative AI models

  • 5+ years of experience with various machine learning methods such as regression, clustering, classification, decision trees, natural language processing, ensemble methods, support vector machines (SVM), deep learning, reinforcement learning, etc.

  • 5+ years of experience in designing and implementing Natural Language Processing (NLP) models using machine learning techniques including neural networks, deep learning and transformer architectures

Preferred Qualifications (Desired Skills/Experience):

  • Bachelor's degree or equivalent work or military experience

  • Master’s degree in data science or equivalent

  • Experience in supply chain domain

  • Experience in agile and product-oriented development

  • Experience in building ML models and bring into full production use within the industry

  • Experience training machine learning models in a cloud computing environment such as: Amazon Web Services, Google Cloud Platform, Microsoft Azure, etc.

  • Experience programming in one or more of the following: C, C++, Java, Python, Scala

  • Experience with statistical software (e.g., R, MATLAB) and database languages (e.g., SQL)

  • Experience with SAP (ERP)

  • Experience in advanced statistics (e.g., probability theory and distributions, descriptive statistics, matrix algebra, multivariate statistics, polynomial analysis, parametric and non-parametric methods, etc.)

Conflict of Interest:

  • Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

Travel:

This position may require traveling 25% of the time.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria are met as outlined in our policies.

Total Rewards & Pay Transparency:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.  Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. 

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and several programs that provide for both paid and unpaid time away from work. 

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations. 

Summary pay range: $134,000.00 - $191,000.00


Applications for this position will be accepted until Jan. 27, 2026


Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Relocation

Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift


Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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Your Benefits

No matter where you are in life, our benefits help prepare you for the present and the future.

  • Generous company match to your 401(k).
  • Industry-leading tuition assistance program pays your institution directly.
  • Fertility, adoption, and surrogacy benefits.
  • Up to $10,000 gift match when you support your favorite nonprofit organizations.
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These programs are subject to eligibility requirements and other conditions, which may differ for employees of certain subsidiaries or business units, or union-represented employees depending on bargaining agreement terms. If this information conflicts with the program documents, the latter shall control. This material is informational only.

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