Lead Talent Assessment Scientist Job at Boeing (Seattle)

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Talent Assessment Scientist (Mid-Level or Senior)

At Boeing, we innovate and collaborate to make the world a better place. We’re c...

Location

United States , Seattle

Salary:

137700.00 - 234600.00 USD / Year

Boeing

Expiration Date

June 20, 2026

Requirements

Master's degree or higher
1+ years of experience in database management, programming, statistical modeling and/or machine learning (SQL, R, Python, JMP, SPSS, SAS, etc.)

Job Responsibility

Develop and maintain comprehensive project plans and timelines, manage resource scheduling, and provide regular progress updates on project status
Conduct thorough job analyses, including interviews, observations, and job analysis questionnaire development, as part of larger assessment development and validation projects
Lead and support the development of assessments for various hourly and salaried roles, employing classical test theory (CTT) and item response theory (IRT) methodologies to ensure the quality, validity, and fairness of assessments
Train recruiters and hiring managers on assessments and their use and troubleshoot the assessments and their integrations
Design and implement concurrent and predictive validation studies to evaluate the effectiveness of selection assessments
Prepare technical documentation that meets legal standards and adheres to the Uniform Guidelines on Employee Selection Procedures
Design and lead research projects, such as capturing quality of hire, to enhance hiring practices
Collaborate with the Employee Listening and Organizational Research and Assessment team on research initiatives and data analysis to support data-driven decision-making
Cultivate and maintain relationships with external vendors providing custom and standard testing or screening solutions
Monitor vendor performance and conduct periodic reviews to ensure high service quality

What we offer

competitive base pay and variable compensation opportunities
health insurance
flexible spending accounts
health savings accounts
retirement savings plans
life and disability insurance programs
paid and unpaid time away from work
Generous company match to your 401(k)
Industry-leading tuition assistance program pays your institution directly
Fertility, adoption, and surrogacy benefits

Fulltime

Vice President, AI Enablement

The Vice President, AI Enablement leads Parexel’s enterprise‑wide Artificial Int...

Location

United States , Remote

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

15+ years in data science, AI/ML, or technology leadership roles
at least 7 years in executive or senior leadership
Deep knowledge of clinical research processes, clinical data lifecycle, and pharmaceutical/life sciences regulatory expectations
Experience implementing enterprise AI platforms (GenAI, MLOps, data pipelines, automation)
Proven success operationalizing large-scale AI programs in GxP or other highly regulated industries
Familiarity with emerging AI regulations (EU AI Act, FDA, EMA expectations)
Experience with cloud-based AI ecosystems (Azure preferred)
Master’s degree or PhD in Computer Science, Data Science, Engineering, Bioinformatics, or related field preferred
Advanced business qualifications (MBA or equivalent) desirable
Excellent written and verbal communication skills

Job Responsibility

Define and evolve Parexel’s enterprise AI strategy, roadmap, and investment portfolio
Identify priority use cases aligned to business value, feasibility, and regulatory constraints
Conduct AI maturity assessments and establish long‑term capability-building plans
Co-chair AI governance
Define standards for model lifecycle management, validation, auditability, and transparency
Ensure compliance with GxP, global regulatory guidance, and responsible AI principles
Partner with Quality, Legal, and Compliance to operationalize risk management for AI systems
Oversee enterprise AI platforms, tooling, and data pipelines
Drive scalable architecture for GenAI, ML operations, retrieval‑augmented generation, and secure model hosting
Evaluate and integrate vendor platforms while ensuring data privacy and clinical-grade security

What we offer

Health, Vision & Dental Insurance
Tuition Reimbursement
Vacation/Holiday/Sick Time
Flexible Spending & Health Savings Accounts
Work/Life Balance
401(k) with Company match
Pet Insurance
Opportunity to work on innovative projects at the forefront of the industry
Collaborative and inclusive work environment that values your expertise
Professional advancement and development opportunities

Fulltime

Head of Engineering - Risk & Financial Crime

Adyen is building out its capabilities in data-driven risk management to combat ...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adyen

Expiration Date

Until further notice

Requirements

Proven experience leading and mentoring multiple and multi-disciplinary Engineering Teams
Significant experience in building and deploying data-driven products and systems at scale, ideally in a domain involving Risk, Fraud, or Financial Crime
Deep understanding of the machine learning lifecycle, from data ingestion and feature engineering to model training, deployment, monitoring, and experimentation
Strong technical background with experience in data processing, distributed systems, and relevant programming languages (e.g., Java, Python)
Familiarity with applying advanced AI techniques, such as Generative AI and Large Language Models, to solve real-world problems, particularly in automating complex workflows or analyzing unstructured data
Experience working closely with non-technical stakeholders, such as Operations Teams, Legal/Compliance experts, and Product Managers
Excellent communication skills with the ability to articulate complex technical concepts and strategies to diverse audiences
Ability to balance short-term needs with a long-term strategic vision
Experience in hiring and developing technical talent

Job Responsibility

Lead and mentor multiple multidisciplinary Engineering Teams in Amsterdam focused on data-driven risk and financial crime products
Drive the technical strategy and execution for building scalable and resilient systems for financial crime detection and mitigation, covering the entire business lifecycle on the platform
Oversee the development and deployment of machine learning models and data pipelines for real-time and batch risk assessment
Explore and implement applications of cutting-edge AI technologies, including GenAI and LLMs, to automate manual investigation tasks, improve detection accuracy, and provide rich context for human reviewers and models
Collaborate closely with expert investigators and operations teams to understand their workflows, integrate human feedback into automated systems, and ensure tools meet their needs
Partner with Product Managers, Data Scientists, and other Engineering Teams globally to define product requirements, prioritize initiatives, and integrate risk capabilities into Adyen's platform
Ensure systems are built with robust monitoring, explainability, and governance frameworks to meet regulatory requirements and maintain high quality and fairness
Stay informed about the latest advancements in financial crime typologies, risk management techniques, and AI/ML technologies, applying relevant insights to Adyen's products

Head of Engineering - Risk & Financial Crime

Adyen is building out its capabilities in data-driven risk management to combat ...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adyen

Expiration Date

Until further notice

Requirements

Proven experience leading and mentoring multiple and multi-disciplinary Engineering Teams
Significant experience in building and deploying data-driven products and systems at scale, ideally in a domain involving Risk, Fraud, or Financial Crime
Deep understanding of the machine learning lifecycle, from data ingestion and feature engineering to model training, deployment, monitoring, and experimentation
Strong technical background with experience in data processing, distributed systems, and relevant programming languages (e.g., Java, Python)
Familiarity with applying advanced AI techniques, such as Generative AI and Large Language Models, to solve real-world problems, particularly in automating complex workflows or analyzing unstructured data
Experience working closely with non-technical stakeholders, such as Operations Teams, Legal/Compliance experts, and Product Managers
Excellent communication skills with the ability to articulate complex technical concepts and strategies to diverse audiences
Ability to balance short-term needs with a long-term strategic vision
Experience in hiring and developing technical talent

Job Responsibility

Lead and mentor multiple multidisciplinary Engineering Teams in Amsterdam focused on data-driven risk and financial crime products
Drive the technical strategy and execution for building scalable and resilient systems for financial crime detection and mitigation, covering the entire business lifecycle on the platform
Oversee the development and deployment of machine learning models and data pipelines for real-time and batch risk assessment
Explore and implement applications of cutting-edge AI technologies, including GenAI and LLMs, to automate manual investigation tasks, improve detection accuracy, and provide rich context for human reviewers and models
Collaborate closely with expert investigators and operations teams to understand their workflows, integrate human feedback into automated systems, and ensure tools meet their needs
Partner with Product Managers, Data Scientists, and other Engineering Teams globally to define product requirements, prioritize initiatives, and integrate risk capabilities into Adyen's platform
Ensure systems are built with robust monitoring, explainability, and governance frameworks to meet regulatory requirements and maintain high quality and fairness
Stay informed about the latest advancements in financial crime typologies, risk management techniques, and AI/ML technologies, applying relevant insights to Adyen's products

Sr. Applied Scientist, Trustworthy Shopping Experience (TSE)

Are you passionate about solving complex business problems at scale through Gene...

Location

India , Bengaluru

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

5+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience as a mentor, tech lead or leading an engineering team

Job Responsibility

Design and build next-generation agentic AI systems that think, plan, and act—capable of multi-step reasoning, dynamic tool use, and autonomous task execution that transforms how investigations are conducted
Invent novel solutions across the AI frontier: autonomous reasoning, self-supervised representation learning, few-shot adaptation, feedback-driven optimization, and multimodal intelligence
Develop deep expertise in research areas strategic to the organization while maintaining solid understanding across adjacent domains
Identify and frame ill-defined customer and business problems, devising new research methodologies using a customer-obsessed scientific approach
Tackle ambiguous, high-impact challenges where the problem itself isn't yet fully defined—and shape the science roadmap that solves them
Automate complex investigation workflows involving unstructured text, documents, images, symbols, and rich relational data—directly impacting hundreds of millions of customers
Anticipate and articulate key scientific challenges of current and future customer needs, proactively presenting interventions to address them
Drive ideas from whiteboard sketch to production system—prototype rapidly, iterate relentlessly, and deploy solutions that scale
Engineer efficient, production-ready systems by distilling models into lightweight, cost-effective deployments without sacrificing capability
Build a proven track record of repeatedly delivering innovative, impactful scientific solutions into production

Senior Applied Scientist and Principal Applied Scientist

Are you passionate about advancing Artificial Intelligence through innovative re...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Additional or Preferred Qualifications: Bachelor's Degree AND 6+ years related experience
OR Master's Degree AND 4+ years related experience
OR Doctorate AND 3+ years related experience
OR equivalent experience

Job Responsibility

Collaborate with AI researchers, engineers, and multidisciplinary teams within M365 Core to design, build, and deliver end-to-end machine learning solutions optimized for human-human and human-AI interactions across productivity and collaboration scenarios
Lead and contribute to research and development initiatives in language model training, evaluation, and quality assessment with a specific focus on advancing the foundational capabilities and enterprise solutions of M365 Core
Design, develop, and refine robust ML pipelines, including data cleaning, feature engineering, model training, evaluation, deployment, and optimization
Adapt, extend or enhance the capability of large language models (LLMs) using a combination of supervised finetuning, reinforcement learning, and apply advanced techniques such as chain of thought prompting, agent orchestration, and synthetic data generation to meet evolving business needs
Remain current with the latest advancements in ML, AI, digital signal processing, and responsible AI practices, contributing to intellectual property portfolios through publications, patents, and libraries
Develop and deploy live production systems as part of integrated product teams, supporting all phases of the product cycle from ideation to shipping, post-launch optimization, and ongoing improvements
Champion ethics, fairness, and privacy in AI system development, contributing to policy creation and ensuring responsible research and data collection practices
Document work in progress, experimentation results, and share findings to promote a culture of innovation and transparency
Mentor and develop early-in-career team members, establish best practices, and collaborate with academic communities to build a robust recruiting pipeline for research talent
Present research findings at conferences and industry events, shaping the dialogue around AI-powered solutions for enterprise and communication platforms

Fulltime

Apps Dev Tech Lead Analyst - Vice President

As a key member of our global development team, you will: Innovate & Develop: Pa...

Location

United States , Irving

Salary:

125760.00 - 188640.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6-10 years of progressive experience in systems analysis and programming of software applications
Strong proficiency in Java application technologies, including deep experience with TDD (Test-Driven Development), Spring framework, and Microservices architecture
Extensive hands-on experience with PySpark and advanced Python programming skills
Proven experience with Big Data ecosystems, including Cloudera and/or Data Bricks
Hands-on experience with distributed query engines like Starburst (Trino/Presto)
Proficient in designing and managing complex workflows using scheduling tools, particularly Apache Airflow
Strong expertise in SQL and experience with relational and non-relational databases
Excellent knowledge of algorithms and data structures, design patterns
Strong Java experience: Java core, collections, concurrency, streams
Frameworks and APIs: Spring (Core, Batch, Integration, MVC, Boot, Data), Hibernate, Jackson, JAX RS, JPA, JAXB

Job Responsibility

Innovate & Develop: Partner closely with project managers, business stakeholders, and senior managers to translate complex business requirements into well-architected technical solutions
Drive cross-functional collaboration with diverse management teams
Proactively identify, define, and implement necessary system enhancements
Complex Problem Resolution: Lead the resolution of high-impact problems and critical projects
Consult with users, clients, and other technology groups on issues
Technical Architecture & Standards Leadership: Serve as a subject matter expert in application programming
Leverage an advanced understanding of system flow to develop and enforce robust standards for coding, testing, debugging, and implementation
Mentorship & Talent Development: Act as a trusted advisor and coach for mid-level developers and analysts
Provide technical guidance, mentorship, and code reviews to junior data engineers
Operational Excellence: Ensure adherence to best practices and essential procedures

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Principal Technical Program Manager - Quantum

Denmark is building one of the world's most powerful quantum computers — and Mic...

Location

Denmark , Copenhagen

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Deep experience in partner management, business development, or ecosystem development within deep technology sectors (quantum computing, semiconductors, photonics, advanced computing, or adjacent fields)
Demonstrated experience working across multiple countries and time zones with distributed engineering and product teams
Technical fluency in quantum computing, photonics, neutral-atom systems, semiconductor physics, or related deep tech domains — sufficient to engage credibly with scientists and engineers, though a PhD is not required
A track record of building something from 0→1: a new market entry, a new strategic partnership, a new program in an organization that didn't exist before you arrived
Excellent written and verbal communication skills. Fluent in English. Danish or another Scandinavian language is preferred
Direct experience in the Nordic technology or research ecosystem
Experience working at or partnering with national laboratories, quantum startups, government R&D agencies, or public-private innovation programs
Familiarity with Microsoft's technology stack — Azure, AI services, developer tools — and how enterprise cloud platforms integrate with emerging hardware
Background in product management, program management, or technical business development at a large technology company
Comfort operating with high autonomy, limited local infrastructure, and ambiguity — the kind of environment where you set the agenda rather than follow one

Job Responsibility

Serve as Microsoft's primary point of contact for QuNorth, building a trusted working relationship with CEO and leadership team
Lead regular business reviews, executive alignment sessions, and joint planning cycles that keep both organizations focused and accountable
Own escalation management: identify blockers early, route them to the right teams, and drive resolution across both organizations with urgency and clarity
Build Microsoft's quantum ecosystem presence in Denmark and across the Nordic region — not by following a playbook, but by writing one
Work with QuNorth in jointly put together winning playbook in making Denmark, a Quantum center of excellence across Nordics, where not only Quantum enthusiasts converge to but also commercial companies and users
Engage key government stakeholders and funding bodies, to align QuNorth and Microsoft's quantum efforts with national and regional priorities
Develop and deepen relationships with leading Nordic universities and research centers — DTU, the Niels Bohr Institute, KTH Royal Institute of Technology, Aalto University, Chalmers University of Technology — as pathways for talent, research collaboration, and technology adoption
Identify and cultivate partnerships with emerging Nordic quantum companies (including start ups and existing quantum companies etc) to expand Quantum's partner network and regional relevance
Receive, assess, and prioritize technical challenges surfaced by QuNorth — translating partner needs into actionable requests for Microsoft engineering teams
Route problems to the right people across Microsoft's quantum labs in Lyngby, engineering teams in Redmond and Prague, and the broader Microsoft Quantum organization — and make sure they don't get lost in transit

What we offer

Competitive compensation
comprehensive benefits
stock awards
pension contributions
career development resources

Fulltime

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