Lead, Advanced Analytics, Trust & Safety Job at Airbnb

Staff UX/Product Researcher

The Research & Insights team at Strava paves the way towards making confident, u...

Location

United States , San Francisco

Salary:

235000.00 - 260000.00 USD / Year

Strava

Expiration Date

Until further notice

Requirements

6+ yrs of experience in product research and/or user experience (UX) research roles
Expertise and hands-on experience leading end-to-end research studies in the field of Trust & Safety, both in house and with external agencies or university partnerships
An advanced degree in psychology, social sciences, human-computer interaction, cognitive science, statistics, or a related field
A full range of a methodological toolkit that includes both qualitative and quantitative methodologies and solid research expertise
Exceptional communication skills, adept at translating data into actionable insights both verbally and in writing and expertise in data-driven storytelling
Strong product thinking and leadership
Ability to inform and influence strategic direction and senior stakeholders, including exec-level stakeholders
Self-direction and initiative, experience and conviction to advocate for rigorous research
A balance of creative and analytical skills with the ability to proactively define research questions, identify appropriate methods, execute studies, and synthesize findings
A proven record of experience working in the field of Trust and Safety, with a priority for products that include Social, Community and User Generated Content

Job Responsibility

Build and lead the research vertical for Trust & Safety and Community Engagement
Identify, prioritize, and lead research roadmaps that have a tangible impact on company and product strategy, user satisfaction and business outcomes
Lead high-visibility research projects, collaborating closely with cross functional partners
Identify best opportunities and practices for socialization of research insights, and forge high-trust relationships with colleagues
Influence cross-functional partners to act on research insights by providing clear, actionable recommendations and relevant business context

What we offer

Offers Equity

Fulltime

Staff Advanced Analytics CS Safety

We are looking for a Staff Advanced Analyst to help Airbnb enable travel for our...

Location

United States

Salary:

176000.00 - 220000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

A minimum of 10+ years of industry experience in business analytics
A degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
Experience supporting safety, risk, Trust & Safety, compliance or employee wellbeing in high-volume call center or customer operations environments
Expert skills in SQL
Expert in at least one programming language for data analysis (Python or R)
Experience with non-experimental causal inference methods, experimentation and machine learning techniques, ideally in a multi-sided platform setting
Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow)
Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable operating independently with minimal planning, direction, and supervision
Proven track record of influencing senior leaders and driving outcomes

Job Responsibility

Data thought partner to product and business leaders across teams through providing insights, recommendations, and enabling data informed decisions
Drive day to day analytics and create scalable data tools
Identify pain points in traveling and hosting and work with product leadership to improve experiences for our guest, host and agent community
Lead and drive data-driven roadmaps for the CS Safety working groups
Build and own an insights and reporting platform that measures and improves the effectiveness of behaviors, product interfaces, and processes across the CS Safety platform and contact center network
Perform data modeling of the various entities using tools & frameworks for optimizing community and agent experiences
Define and evaluate key metrics in an unstructured problem space including measurement of the ML models that drive product development
Anticipate emerging safety risks through early-warning indicators, trend analysis, predictive modeling, and scenario planning to assess operational risk
Influence data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs and planning among others
Influence experimentation & measurement strategies

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Vp, Analytics Assurance Lead

You will define and oversee the strategy, governance, and enterprise-wide assura...

Location

United States , Whippany; Henderson

Salary:

160000.00 - 210000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Extensive experience leading model risk management, AI assurance, or advanced analytics governance in a regulated sector such as financial services, banking, credit, or insurance
Expertise in machine learning, statistical modeling, model validation, and AI/ML monitoring, with familiarity in emerging AI regulatory expectations
Demonstrated leadership in managing cross-functional programs, influencing senior stakeholders, and implementing enterprise-scale governance or AI assurance frameworks

Job Responsibility

Define and oversee the strategy, governance, and enterprise-wide assurance of analytical models and AI systems
Ensure all models and AI solutions operate to the highest standards of quality, fairness, regulatory compliance, and operational resilience
Establish and embed assurance frameworks spanning model risk management, AI safety, validation, monitoring, and responsible AI practices
Collaborate closely with teams across Modeling, Technology, Risk, Operations, Legal, and Compliance to promote transparency and trust in AI-driven decisioning
Drive continuous improvement, innovation, and consistency in how models are designed, evaluated, deployed, and monitored
Collect, clean, analyse, and visualise data to identify potential risks, assess compliance with regulations, and provide valuable insights to auditors
Development and execution of data extraction strategies
Analysis of data to identify potential risks and control weaknesses
Provision of data-driven insights and analysis to auditors
Supporting the development and testing of audit procedures

What we offer

Medical, dental and vision coverage
401(k)
life insurance
other paid leave for qualifying circumstances
incentive award eligibility

Fulltime

Vice President, Nursing Quality and Safety

The Vice President, Nursing Quality and Safety (VP) provides strategic leadershi...

Location

United States , Wilmington

Salary:

Not provided

Kirby Bates Associates

Expiration Date

Until further notice

Requirements

Bachelor’s and Master’s degree required, one of which must be in nursing
Current or eligible for Registered Nurse licensure in the State of Delaware
Nurse Leader certification required
Minimum of five years of progressive system leadership experience with demonstrated success working across interprofessional teams to design, implement, and sustain evidence‑based quality and safety programs and improve outcomes
Formal Lean Six Sigma training required (or willingness to obtain within two years)
Knowledge of current nursing practice standards, The Joint Commission, CMS, Magnet, State, and other regulatory requirements

Job Responsibility

Provides strategic leadership and enterprise oversight for nursing quality, patient safety, and performance improvement
Advances a culture of safety, implementing evidence‑based practice, and continuous improvement of outcomes
Oversees key nursing functions, including Nursing Quality & Safety, Wound Ostomy Continence Nursing, and the WISH Program
Serves as a trusted advisor and mentor to nurse leaders, frontline teams, and members of the systemwide Nursing Quality and Safety Council as well as Event Based Nursing Peer Review
Partners closely with nursing leaders, physicians, clinical teams, and enterprise leaders across Quality, Patient Safety, Risk Management, Accreditation, and Information Technology
Shape and advance systemwide nursing quality, patient safety, and performance improvement strategies with direct influence on outcomes
Lead and develop high‑impact programs focused on evidence‑based practice, event review, peer review, and human factors
Partner with executive, clinical, and operational leaders to design and sustain data‑driven, outcome focused quality initiatives
Oversee nursing quality analytics and external reporting, including NDNQI, Magnet, and Leapfrog

EMEA Facilities, Security & Safety Program Specialist

This role is responsible for overseeing Facility Maintenance (FM) and Security &...

Location

Ireland; Hungary , Cork; Budapest

Salary:

Not provided

Cloudera

Expiration Date

Until further notice

Requirements

3 years of relevant experience in Facilities, Security, and Security Systems, ideally within a technology office environment or equivalent
Bachelor's degree in related field or equivalent experience
Excellent interpersonal skills to interact with managers and employees and foster trust
Excellent oral and written communication skills
Advanced analytical and problem-solving skills
Strong planner, program designer and project manager
experience with organization-wide implementation
Ability to solve problems and manage difficult issues while keeping an eye to the future
Strong knowledge of industry standards and/or federal, state and local regulatory requirements
Strong financial acumen with cash flow and P&L and project management skills

Job Responsibility

Oversee MEP (Mechanical, Electrical, Plumbing) and HVAC maintenance schedules, including execution of quarterly maintenance at each site.
Maintain and routinely update global Repair & Maintenance (R&M) logs within the supported region.
Serve as the primary liaison for facility-related matters with landlords and building management within the supported region.
Coordinate with external vendors to ensure timely, compliant, and high-quality maintenance services.
Manage regional FM budgets and procurement processes via platforms such as Coupa (PRs/POs).
Provide on-site facilities support across regional offices, requiring regular travel as needed.
Oversee daily security operations, including badge access control, vendor coordination, and S2/CCTV system functionality. Which includes at times global security system support.
Administer badge access for new hires, terminations, replacements, and loaners
maintain accurate records of landlord-issued credentials per site within the region.
Collaborate with IT to resolve system outages and maintain global badge and occupancy reporting.

What we offer

Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups

Fulltime

EMEA Facilities, Security & Safety Program Specialist

This role is responsible for overseeing Facility Maintenance (FM) and Security &...

Location

Ireland; Hungary , Cork; Budapest

Salary:

Not provided

Cloudera

Expiration Date

Until further notice

Requirements

3 years of relevant experience in Facilities, Security, and Security Systems, ideally within a technology office environment or equivalent
Bachelor's degree in related field or equivalent experience
Excellent interpersonal skills to interact with managers and employees and foster trust
Excellent oral and written communication skills
Advanced analytical and problem-solving skills
Strong planner, program designer and project manager
experience with organization-wide implementation
Ability to solve problems and manage difficult issues while keeping an eye to the future
Strong knowledge of industry standards and/or federal, state and local regulatory requirements
Strong financial acumen with cash flow and P&L and project management skills

Job Responsibility

Oversee MEP (Mechanical, Electrical, Plumbing) and HVAC maintenance schedules, including execution of quarterly maintenance at each site.
Maintain and routinely update global Repair & Maintenance (R&M) logs within the supported region.
Serve as the primary liaison for facility-related matters with landlords and building management within the supported region.
Coordinate with external vendors to ensure timely, compliant, and high-quality maintenance services.
Manage regional FM budgets and procurement processes via platforms such as Coupa (PRs/POs).
Provide on-site facilities support across regional offices, requiring regular travel as needed.
Key Contact for office Property Mgt/ Landlords within the supported regions
Oversee daily security operations, including badge access control, vendor coordination, and S2/CCTV system functionality. Which includes at times global security system support.
Administer badge access for new hires, terminations, replacements, and loaners
maintain accurate records of landlord-issued credentials per site within the region.

What we offer

Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups

Fulltime

Data Scientist, Risk & Fraud

Data Scientist with expertise in fraud and risk to detect and prevent these thre...

Location

United States , San Francisco, CA; New York, NY; Los Angeles, CA; Seattle, WA

Salary:

185000.00 - 240000.00 USD / Year

Whatnot

Expiration Date

Until further notice

Requirements

5+ years of experience in the Data field
3+ years of experience in Data Analytics & Science supporting anti-fraud, risk, trust & safety, or integrity problems
Bachelor’s degree in Computer Science, Economics, Statistics, Cybersecurity, or a related field, or equivalent work experience
Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data
Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT
Proficiency with Python or R for data analysis, modeling, and experimentation
Experience designing and analyzing A/B tests and understanding causal inference techniques
Strong data visualization skills and familiarity with BI tools for building interactive dashboards
Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders
Experience leading cross-functional projects and influencing trust & risk strategy with data

Job Responsibility

Translate complex data into actionable recommendations for the Fraud engineering and operations teams
Define and own the KPIs that measure the cost of fraud, strategies to prevent it, and impact to users and marketplace performance
Analyze the effectiveness of existing methods and partner with product and machine learning engineers to develop better anti-fraud practices
Partner with product managers, engineers, and operations teams to design, implement, and evaluate feature rollouts to combat bad actors on the platform
Define and own the experimentation playbook for Fraud at Whatnot
Develop frameworks for causal inference and impact measurement of efforts that are not well-suited to A/B testing
Ensure Whatnot’s internal KPIs treat fraudulent actors appropriately in measurement outside of fraud domains
Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot
Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product and platform enhancements
Advocate for data-driven decision-making and foster a culture of measurement across the trust & risk organization

What we offer

Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
Health Insurance options including Medical, Dental, Vision
Work From Home Support
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards Childcare
Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement

Fulltime

Senior Principal Machine Learning Engineer

You’ll form a new team of passionate engineers dedicated to building and scaling...

Location

United States

Salary:

222300.00 - 348975.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience
12+ years of industry experience in machine learning, data science, or AI, with a proven track record of delivering production-grade ML systems
Deep expertise in Python, Go, or Java, with the ability to write performant, production-quality code
familiarity with SQL, Spark, and cloud data environments (e.g., AWS, GCP, Databricks)
Experience building and scaling ML models for business-critical applications, ideally in security, privacy, anti-abuse, or compliance domains
Strong communication skills, able to explain complex ML concepts to diverse audiences and influence stakeholders
Demonstrated ability to solve ambiguous, complex problems and drive projects from ideation to production
Agile development mindset, with a focus on iterative improvement and business impact

Job Responsibility

Lead AI/ML Strategy for Trust: Drive the development and implementation of advanced machine learning algorithms and AI systems for Trust, Security, Product Abuse, and Compliance use cases (e.g., threat detection, vulnerability management, privacy automation, AI safety)
Architect and Scale ML Platforms: Design and build scalable, secure, and reliable ML infrastructure and pipelines, ensuring compliance with privacy and regulatory requirements
AI Safety and Responsible AI: Develop and champion AI safety practices, including output moderation, explainability, and alignment with evolving regulatory frameworks
Cross-Functional Collaboration: Partner with product, engineering, security, privacy, and analytics teams to deliver transformative AI/ML solutions that enhance Atlassian’s trust posture
Mentorship and Leadership: Mentor and guide ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous improvement
Innovation and Research: Stay at the forefront of AI/ML research, evaluating and applying the latest techniques (e.g., LLMs, anomaly detection, privacy-preserving ML) to real-world Trust challenges
Platform Enablement: Build reusable ML services and APIs that empower other teams to integrate AI/ML into their products and workflows
Operational Excellence: Ensure high availability, reliability, and security of all ML-powered Trust platforms and services

What we offer

health and wellbeing resources
paid volunteer days
benefits, bonuses, commissions, and equity

Fulltime

Lead, Advanced Analytics, Trust & Safety

Airbnb

Location:
United States

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 13, 2026

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