Boeing
Senior Data Scientist
Boeing, Hazelwood, Missouri, United States, 63042
Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. 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.The Boeing Company is currently seeking a
Senior Data Scientist
to join the Global Data & Analytics team in either
Hazelwood, MO; North Charleston, SC; Mesa, AZ
or
Seattle, WA .In this role, you will be responsible for solving high-priority projects by leveraging your expertise in data science. The selected candidate will work closely with business stakeholders to decompose complex problems, develop high-quality models, and deploy finished solutions to drive direct impact. Our team in Information Technology and Data Analytics (IT&DA) works across Boeing business units and functions to simplify processes, automate repetitive tasks, and solve problems using data while leveraging our subject matter experts.Position Responsibilities:Collaborate with business stakeholders to understand project requirements and objectivesDecompose complex problems into manageable tasks and develop data-driven solutionsDetermine the most appropriate machine learning models to resolve the business problemsUtilize natural language processing techniques for feature extractionWork with large language models to extract insights and drive decision-makingApply machine learning algorithms for multi-class classification, considering imbalanced data scenariosAccess, clean and join disparate data sets to create comprehensive and reliable data sourcesDeploy models in production environments, ensuring maintainability, scalability and reliabilityCollaborate with business partners to iteratively improve baseline solutions for increased accuracy and coverageMaintain good software development practices, ensuring code quality and adherence to best practicesThis position is hybrid. The selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team’s discretion and could potentially change in the future.This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.Basic Qualifications (Required Skills/Experience):5+ years of experience working in a cross functional environment with all levels in the business from individual contributors to executive leadership5+ years of experience in one or more of the following: machine learning, language modeling, computer vision, time-series analysis, unsupervised clustering, algorithmic foundations of optimization, multivariate analysis, stochastic models, sampling methods, or data mining5+ years of experience working with projects, teams, and/or leaders in the analytics and/or data science space5+ years of experience with the following data analytics methods Machine Learning, Simulation, Statistics, Data Mining, Regression, Survival Analysis, Time series models5+ years of experience working with Structured Query Language (SQL)3+ years of experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, MLLib, SciKit-Learn, TensorFlow, Theano, etc.3+ years of experience researching and applying large language and generative AI models3+ years of experience in designing and implementing Natural Language Processing (NLP) models using machine learning techniques including neural networks, deep learning and transformer architecturesExperience using Gitlab/Github/Bitbucket for version control, Artifactory for deployment, and Containerization including DockerPreferred Qualifications (Desired Skills/Experience):Bachelor's degree or equivalent work or military experience3+ years with Python, ML Ops and Data Ops frameworksExperience working in a Linux environmentTypical Education & Experience:Typically, 9 or more years’ related work experience or relevant military experience. Advanced degree (e.g. Bachelor, Master, etc.) preferred, but not required.Relocation:Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.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 is met as outlined in our policies.Work Shift:This position will be for first shift.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 a number of 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: $135,150 – $195,500Applications for this position will be accepted through September 22nd, 2024.Export Control Requirements:
This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required.
“U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.Export Control Details:
US based job, US Person requiredEqual 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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Senior Data Scientist
to join the Global Data & Analytics team in either
Hazelwood, MO; North Charleston, SC; Mesa, AZ
or
Seattle, WA .In this role, you will be responsible for solving high-priority projects by leveraging your expertise in data science. The selected candidate will work closely with business stakeholders to decompose complex problems, develop high-quality models, and deploy finished solutions to drive direct impact. Our team in Information Technology and Data Analytics (IT&DA) works across Boeing business units and functions to simplify processes, automate repetitive tasks, and solve problems using data while leveraging our subject matter experts.Position Responsibilities:Collaborate with business stakeholders to understand project requirements and objectivesDecompose complex problems into manageable tasks and develop data-driven solutionsDetermine the most appropriate machine learning models to resolve the business problemsUtilize natural language processing techniques for feature extractionWork with large language models to extract insights and drive decision-makingApply machine learning algorithms for multi-class classification, considering imbalanced data scenariosAccess, clean and join disparate data sets to create comprehensive and reliable data sourcesDeploy models in production environments, ensuring maintainability, scalability and reliabilityCollaborate with business partners to iteratively improve baseline solutions for increased accuracy and coverageMaintain good software development practices, ensuring code quality and adherence to best practicesThis position is hybrid. The selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team’s discretion and could potentially change in the future.This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.Basic Qualifications (Required Skills/Experience):5+ years of experience working in a cross functional environment with all levels in the business from individual contributors to executive leadership5+ years of experience in one or more of the following: machine learning, language modeling, computer vision, time-series analysis, unsupervised clustering, algorithmic foundations of optimization, multivariate analysis, stochastic models, sampling methods, or data mining5+ years of experience working with projects, teams, and/or leaders in the analytics and/or data science space5+ years of experience with the following data analytics methods Machine Learning, Simulation, Statistics, Data Mining, Regression, Survival Analysis, Time series models5+ years of experience working with Structured Query Language (SQL)3+ years of experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, MLLib, SciKit-Learn, TensorFlow, Theano, etc.3+ years of experience researching and applying large language and generative AI models3+ years of experience in designing and implementing Natural Language Processing (NLP) models using machine learning techniques including neural networks, deep learning and transformer architecturesExperience using Gitlab/Github/Bitbucket for version control, Artifactory for deployment, and Containerization including DockerPreferred Qualifications (Desired Skills/Experience):Bachelor's degree or equivalent work or military experience3+ years with Python, ML Ops and Data Ops frameworksExperience working in a Linux environmentTypical Education & Experience:Typically, 9 or more years’ related work experience or relevant military experience. Advanced degree (e.g. Bachelor, Master, etc.) preferred, but not required.Relocation:Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.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 is met as outlined in our policies.Work Shift:This position will be for first shift.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 a number of 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: $135,150 – $195,500Applications for this position will be accepted through September 22nd, 2024.Export Control Requirements:
This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required.
“U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.Export Control Details:
US based job, US Person requiredEqual 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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