Experienced Data Scientist

Company:

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 were 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):

• Bachelors degree or equivalent work or military experience

• Masters 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 Companys Conflict of Interest (COI) assessment process.

Travel:

This position may require traveling 25% of the time.

Drug Free Workplace:

Boeingis 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: $134000.00 - $191000.00

Language Requirements:

Education:

Relocation:

Export Control Requirement:

Safety Sensitive:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

Shift:

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