Mid-Level Data Scientist
USA - Everett, WA, United States
Full Time Mid-level / Intermediate Clearance required USD 113K - 164K
Boeing
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The Boeing CompanyThe Boeing Company’s Information Digital Technology & Security (IDT&S) is currently seeking a Mid-Level Data Scientist to join the team in Everett, WA; Hazelwood, MO; Mesa, AZ; North Charleston, SC; or Tukwila, WA.
We are seeking a motivated Data Scientist to join our team. In this role, you will be responsible for solving high-priority projects by leveraging your expertise in data science. Working closely with business stakeholders, you will decompose complex problems, develop high-quality models, and deploy finished solutions to drive direct impact. Our team in IDT&S 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:
Determines, defines and deploys predictive/prescriptive analytic solutions to meet business objectives
Chooses best fit methods, defines algorithms, validates and deploys models to achieve business results
Performs necessary data preparation and enhancements to models
Basic Qualifications (Required Skills/Experience):
1+ 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 mining
1+ years of experience working with projects, teams, and/or leaders in the analytics and/or data science space
1+ years of experience with the following data analytics methods Machine Learning, Simulation, Statistics, Data Mining, Regression, Survival Analysis, Time series models
1+ years of experience working with Structured Query Language (SQL)
1+ years of experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, MLLib, SciKit-Learn, TensorFlow, Theano, etc.
1+ years of experience researching and applying large language and generative AI models
1+ years of experience in designing and implementing Natural Language Processing (NLP) models using machine learning techniques including neural networks, deep learning and transformer architectures
Experience using Gitlab/Github/Bitbucket for version control, Artifactory for deployment, and Containerization including Docker
Preferred Qualifications (Desired Skills/Experience):
Bachelor's degree or equivalent work or military experience
3+ years of experience with python, ML Ops and Data Ops frameworks
3+ years of experience in supply chain, manufacturing, quality or similar field
Experience working in a Linux environment
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.
Pay & Benefits:
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: $113,900 – $164,450
Language Requirements:
Not ApplicableEducation:
Not ApplicableRelocation:
Relocation assistance is not a negotiable benefit for this position.Export Control Requirement:
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.Safety Sensitive:
This is not a Safety Sensitive Position.Security Clearance:
This position does not require a Security Clearance.Visa Sponsorship:
Employer will not sponsor applicants for employment visa status.Contingent Upon Award Program
This position is not contingent upon program awardShift:
Shift 1 (United States of America)Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning
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.
Boeing Participates in E – Verify
Right to Work Statement
Tags: Architecture Bitbucket Clustering Computer Vision Data Analytics Data Mining DataOps Deep Learning Docker Generative AI GitHub GitLab Hadoop Linux Machine Learning NLP Open Source Privacy Python R Scikit-learn Security Spark SQL Statistics TensorFlow Testing Theano
Perks/benefits: Career development Competitive pay Flex hours Health care Insurance Relocation support
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