Experienced Data Scientist-Applied Artificial Intelligence Developer

Experienced Data Scientist-Applied Artificial Intelligence Developer

Company : The Boeing Company

The Boeing Company is currently seeking an Experienced Data Scientist-Applied Artificial Intelligence (AI) Developer to join the Finance Systems and Analytics (FS&A) team in Tukwila WA .

The candidate selected for this role will design and implement AI-enabled analytics solutions for Finance. You will deliver prescriptive and predictive analytics and help develop advanced capabilities such as agentic AI workflow this position you will design and build networks of interdependent autonomous agents that perform agent to agent reasoning integrate with internal programmatic interfaces streamline finance workflows support human in the loop decision making and optimize transactional processes.

The ideal candidate will :

Have 2 years of handson experience applying AI / Machine Learning (ML) to business problems including production or nearproduction deployments of Large Language Models (LLMs) -enabled systems Retrieval-Augmented Generation (RAG) pipelines or multi-agent workflows

Design build and operate agentic AI workflows or orchestrated agent networks that perform agent-to-agent reasoning and integrate with programmatic finance interfaces

Possess domain knowledge in Finance (e.g. accounting treasury reconciliation payments Financial Planning and Analysis (FP&A)) or equivalent business-facing experience to partner effectively with Finance Subject Matter Experts (SMEs)

Communicate complex technical risks and results clearly to non-technical stakeholders and leadership

Work effectively in collaborative engineering environments using modern practices (code reviews feature branches cross-functional coordination agile practices cross-functional coordination agile delivery)

Be familiar with model governance auditability and regulatory controls relevant to financial models (e.g. model risk frameworks SOX)

Have practical experience with cloud platforms ( Amazon Web Services (AWS) / Google Cloud Platform (GCP) / Azure) containerization (Docker / Kubernetes) and MLOps tooling (Continuous Integration and Continuous Delivery (CI / CD) monitoring feature stores)

Understand security privacy and data protection best practices for sensitive financial data

Have handson experience with vector databases retrievalaugmented generation prompt / context engineering and LLM safety / mitigation strategies

Position Responsibilities :

Design prototype and productionize AI solutions for finance outcomes (e.g. reconciliation forecasting anomaly detection decision support) including RAG systems and multi-agent orchestration

Own the full model lifecycle : source and validate finance data build features train and evaluate models / agents and implement CI / CD pipelines for repeatable deployments and rollbacks

Implement and maintain agent orchestration state management and interagent reasoning; optimize for latency cost and reliability when integrating with finance Application Programming Interfaces (API) and transactional systems

Implement humanintheloop controls escalation logic and audit trails to ensure explainability auditability and compliance with internal controls and regulations

Design and operate monitoring and observability for models and agents (performance metrics drift detection logging alerting); lead incident response and retraining strategies

Perform exploratory and multivariate analysis to discover patterns validate assumptions and translate findings into clear business recommendations

Collaborate closely with Finance SMEs Data Engineering Security and Compliance to ensure solutions meet business needs scalability and governance standards

BasicQualifications (Required Skills / Experience) :

Bachelors degree in Computer Science Data Science Statistics Mathematics or a related quantitative field or equivalent practical experience

3 years of handson experience in data analytics statistical analysis or applied machine learning on business / finance problems

Experience in Python or R for data analysis model development and scripting

Experience with SQL skills and experience querying relational databases (e.g. SQL Server Oracle Teradata) or cloud data warehouses

Experience with statistical methods risk analysis and applying these techniques to complex financial assessments

Experience demonstrating problemsolving skills and the ability to translate business challenges into datadriven solutions

Experience with version control (Git) and basic collaborative coding practices (code reviews branching)

Preferred Qualifications (Desired Skills / Experience) :

Masters degree in Data Science Computer Science Statistics or a related technical field or equivalent advanced experience

Experience deploying ML / AI solutions to production including MLOps practices (CI / CD for models monitoring retraining)

Experience with LLMs RAG pipelines or agentic / multiagent workflows and vector databases

Experience with cloud platforms and services (AWS GCP or Azure) and containerization (Docker Kubernetes)

Experience with security data privacy and model governance relevant to financial systems (auditability documentation compliance)

Experience with code documentation and repository practices using GitLab / GitHub and Markdown

Drug Free Workplace :

Boeing is a Drug Free Workplace (DFW) 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 : $121550 $164450

Language Requirements :

Not Applicable

Education :

Bachelors Degree or Equivalent

Relocation :

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 award

Shift :

Shift 1 (United States of America)

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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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Required Experience :

Senior IC

Key Skills

Business Intelligence,Cognos,SQL,Power BI,QlikView,Microsoft SQL Server,ssrs,Tableau,SSIS,T Sql,Data Modeling,Data Warehouse

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 121550 - 164450