Data Scientist (Data Science)

Boeing•Dallas, TX

About The Position

Boeing Global Services (BGS) is looking for Senior Data Scientist to join our team in Dallas, TX. Position Responsibilities: Generate demand forecasts, optimize inventory plans and track functional performance metrics. Determines, defines, and deploys predictive/prescriptive analytic solutions to meet business requirements in forecast accuracy Utilize forecasting tool to generate reports and collaborate with asset managers on Retrofit Fleet support kitting team to predict and project planned orders. Develop modeling solutions that are structured to support contract performance targets. Provide recommendations & strategies based on statistical analysis to minimize shortages/excess inventory Lead to improve forecast accuracy, part delivery performance, and optimize inventory. Perform data analysis, run simulations, algorithms, and analytics to support KPIs Interpret customer requirements and develop modeling approaches to solve complex supply chain problems. Determine appropriate forecast methodologies to develop cost effective fleet sustainment solutions. · Utilize simulation to test and prove concepts, optimization and planning expertise to establish strategies for kitting statement of work Collaborate with various Demand Planning teams, Supply Chain teams, to build comprehensive analysis to support decision making. · Strong communication and stakeholder engagement skills, with the ability to present to supply chain leadership, program managers, customers, internal/external auditors and peers. Strong team player and passion to achieve results in a fast-paced production environment. Proven track record of driving measurable business outcomes through analytics Own projects from idea generation, establish strategy and help implementation of the process. Basic Qualifications (Required Skills/Experience): +5 years’ experience in forecasting, planning, analytics and supply chain processes +5 years’ experience in aerospace, defense, logistics, or large-scale manufacturing environments Demand forecasting and/or data simulation experience Advanced RStudio knowledge Advanced SQL knowledge Preferred Qualifications (Desired Skills/Experience): Programming experience in Python Data Analytics and Statistics modelling experience Experience in Tableau, Dataiku, Gitlab Experience in Machine Learning, Natural Language Processing (NLP) Experience in SAP and/or Servigistics Experience with cloud-based data platforms such as AWS, Azure Experience in Operations Research from an airline, OEM, logistics company, etc. 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. 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 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: $173,700 - $212,300 Language Requirements: Not Applicable Education: Not Applicable Relocation: Relocation assistance is not a negotiable benefit for this position. Export Control Requirement: 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. 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 award Shift: 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. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish) You can do work that enables all of humanity to take flight. Our teammates in more than 65 countries grow their careers across commercial airplanes, space, defense, sustainability and other areas. Here, you can contribute to what matters most in your career, in your community and around the world. Find answers to questions about applying, interviews, benefits, and more on FAQ page Boeing is committed to providing reasonable accommodations/adjustments to applicants with disabilities. Visit our accommodations page for more info.

Requirements

+5 years’ experience in forecasting, planning, analytics and supply chain processes
+5 years’ experience in aerospace, defense, logistics, or large-scale manufacturing environments
Demand forecasting and/or data simulation experience
Advanced RStudio knowledge
Advanced SQL knowledge
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.

Nice To Haves

Programming experience in Python
Data Analytics and Statistics modelling experience
Experience in Tableau, Dataiku, Gitlab
Experience in Machine Learning, Natural Language Processing (NLP)
Experience in SAP and/or Servigistics
Experience with cloud-based data platforms such as AWS, Azure
Experience in Operations Research from an airline, OEM, logistics company, etc.

Responsibilities

Generate demand forecasts, optimize inventory plans and track functional performance metrics.
Determines, defines, and deploys predictive/prescriptive analytic solutions to meet business requirements in forecast accuracy
Utilize forecasting tool to generate reports and collaborate with asset managers on Retrofit Fleet support kitting team to predict and project planned orders.
Develop modeling solutions that are structured to support contract performance targets.
Provide recommendations & strategies based on statistical analysis to minimize shortages/excess inventory
Lead to improve forecast accuracy, part delivery performance, and optimize inventory.
Perform data analysis, run simulations, algorithms, and analytics to support KPIs
Interpret customer requirements and develop modeling approaches to solve complex supply chain problems.
Determine appropriate forecast methodologies to develop cost effective fleet sustainment solutions.
Utilize simulation to test and prove concepts, optimization and planning expertise to establish strategies for kitting statement of work
Collaborate with various Demand Planning teams, Supply Chain teams, to build comprehensive analysis to support decision making.
Strong communication and stakeholder engagement skills, with the ability to present to supply chain leadership, program managers, customers, internal/external auditors and peers.
Strong team player and passion to achieve results in a fast-paced production environment.
Proven track record of driving measurable business outcomes through analytics
Own projects from idea generation, establish strategy and help implementation of the process.