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- Tasks: Lead analytics initiatives and develop complex solutions using data science techniques.
- Company: Boeing is a leader in aerospace innovation, committed to inclusivity and professional growth.
- Benefits: Enjoy competitive pay, health insurance, retirement plans, and flexible work options.
- Why this job: Join a dynamic team at the forefront of technology, making a real-world impact.
- Qualifications: Requires a Bachelor's degree and extensive experience in data science within engineering.
- Other info: Position is 100% onsite in Berkeley, MO, with potential travel.
The predicted salary is between 120000 - 168000 £ per year.
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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.
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.
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
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Industries
Airlines and Aviation, Aviation and Aerospace Component Manufacturing, and Defense and Space Manufacturing
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Senior Engineering Data Scientist employer: Boeing
Contact Detail:
Boeing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineering Data Scientist
✨Tip Number 1
Familiarise yourself with Boeing's core values and mission. Understanding their commitment to innovation and collaboration will help you align your responses during interviews, showcasing how your personal values and experiences resonate with theirs.
✨Tip Number 2
Highlight your experience with Power BI and Tableau in conversations. Since these tools are crucial for the role, discussing specific projects where you've successfully used them can demonstrate your hands-on expertise and problem-solving skills.
✨Tip Number 3
Prepare to discuss your approach to developing integrated roadmaps for analytics capability. Be ready to share examples of how you've previously aligned analytics strategies with organisational goals, as this is a key responsibility of the position.
✨Tip Number 4
Network with current or former Boeing employees on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview process.
We think you need these skills to ace Senior Engineering Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and analytics, particularly within an engineering context. Emphasise your proficiency with tools like Power BI and Tableau, as well as your programming skills in Python or R.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for innovation in aerospace and your commitment to ethical AI use. Mention specific projects or experiences that align with Boeing's mission and the responsibilities of the Senior Engineering Data Scientist role.
Highlight Key Competencies: In your application, clearly demonstrate your communication skills, customer focus, and ability to work collaboratively. Use examples from your past experiences to illustrate how you embody these competencies.
Showcase Continuous Learning: Mention any recent courses, certifications, or workshops you've completed that are relevant to data science and analytics. This shows your commitment to personal development and staying updated with industry trends.
How to prepare for a job interview at Boeing
✨Showcase Your Technical Skills
As a Senior Engineering Data Scientist, you'll need to demonstrate your expertise in data analysis algorithms and tools like Power BI and Tableau. Be prepared to discuss specific projects where you've successfully applied these technologies to solve complex problems.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples where you've led analytics initiatives or developed predictive models, and be ready to explain your thought process and the outcomes.
✨Emphasise Communication Skills
Effective communication is key in this role. Be ready to discuss how you've conveyed complex data insights to non-technical stakeholders. Highlight any experience you have in creating dashboards or reports that clearly present data findings.
✨Demonstrate Continuous Learning
Boeing values continuous learning and innovation. Share examples of how you've kept up with industry trends, new technologies, or methodologies in data science. This shows your commitment to personal development and staying ahead in your field.