Senior Engineering Data Scientist

Job Description

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.

At Boeing, we are committed to innovation and excellence in aerospace. Boeing Defense, Space & Security (BDS) St. Louis engineering team is at the forefront of developing cutting-edge technologies and solutions that support multiple Defense Programs across the St. Louis region. We are seeking a Senior Engineering Data Scientist to join our dynamic team and drive analytics capabilities that support our mission.

Position Responsibilities:

The Senior Engineering Data Scientist will serve as an individual contributor responsible for developing integrated roadmaps for analytics capability development. This role demands expertise in computing technologies, including Power BI and Tableau, as well as a diverse set of data analytics skills. The successful candidate will lead initiatives to define and deploy complex analytic solutions.

Additionally, the role will involve creating KPI dashboards to monitor business health, leveraging big data technologies, and applying machine learning techniques to derive actionable insights. The data will include engineering workforce and engineering corrective action board KPIs, along with Air Dominance divisional engineering health metrics and analysis. Knowledge of configuration management practices and a commitment to ethical AI use will further enhance the effectiveness of the analytics initiatives

Key Responsibilities:

• Develop integrated roadmaps for analytics capability development, leveraging both internal and external resources.
• Determine strategies for the progression of analytics to align with organizational focus and priorities.
• Lead initiatives to define and deploy highly complex descriptive, diagnostic, predictive, or prescriptive analytic solutions.
• Evaluate organizational objectives, determine stakeholder needs, and identify requirements.
• Choose best-fit methods, define algorithms, validate, and deploy models.
• Perform necessary data preparation and enhancements to models.
• Create and develop new methodologies to address unmet analysis needs.

Functional Excellence Competencies:

• Communication: Clearly convey information and ideas using various media to engage the audience effectively.
• Continuous Learning: Demonstrate a commitment to personal development and seek feedback for improvement.
• Customer Focus: Prioritize customer needs in all actions and decisions.
• Innovation / Creativity: Discover new opportunities and solutions through innovative thinking.
• Quality: Uphold the highest technical and quality standards in all products and services.
• Safety Awareness: Identify and correct conditions affecting safety, demonstrating proactive safety leadership.

Technical Competencies:

• Analysis Algorithms: Knowledge of data analysis algorithms (e.g., data mining, statistics, machine learning, natural language processing) and the ability to design and evaluate new algorithms.
• Analytical Skills (Technical): Collect, organize, synthesize, and analyze data to develop conclusions and recommendations.
• Computing Technologies: Proficiency in multiple information technology areas, including Power BI and Tableau.
• Data Analysis: Perform advanced data analysis, create descriptive statistics, and employ AI approaches.
• Systems Thinking: Understand the inter-relationships within systems and anticipate the impact of changes.
• Visualization Technologies: SQL statements, data blends, and data transformation/setup for optimal visualization development

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Berkeley, MO.

Travel may be required up to 5% of the time; Domestically depending on business needs.

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Basic Qualifications (Required Skills/Experience):

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science
• 14 or more years' related work experience or an equivalent combination of technical education and experience
• Minimum of 10 years of experience in data science or analytics within an engineering context.
• 8 or more years of experience performing Statistical Analysis
• 5 or more years of experience using research tools and methods
• 5 or more years of experience developing data science algorithms to aid and assist in optimization and predictive analysis
• Proven experience with Power BI, Tableau, and other visualization tools.
• Strong programming skills in languages such as Python, R, or similar.
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.

Preferred Qualifications (Desired Skills/Experience):

• 15 or more years of experience in data science or analytics within an engineering context.
• MBA or advanced business degree.

Typical Education/Experience:

Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard.

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.

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: $154,700 - $209,300

Applications for this position will be accepted until Jul. 29, 2025

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 required

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

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.