Design the shared data model and semantic layer, so analytical teams reference shared datasets instead of rebuilding them.
Define the authoritative source of truth for core business metrics and govern how those definitions change, so executives see one set of numbers across teams.
Set and enforce standards for dataset structure, naming, documentation, testing, and Tier 1 vs. Tier 2+ reporting, with playbooks that teams follow.
Architect the self-serve layer that lets stakeholders answer their own questions in BI tools without filing a data request.
Partner with Data Engineering on the shared roadmap, data contracts, and warehouse performance and cost.
Build, refine, and maintain an efficient technology infrastructure to enable and support the team’s quantitative research and analytical efforts.
Compensation
The annual base salary range is $175000.00-$300000.00 (USD) . Actual compensation offered to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level among other things. Details about eligibility for bonus compensation (if applicable) will be finalized at the time of offer.
Responsibilities
Architect, build, refine, and increase automation and robustness of the research infrastructure, including data access, risk modeling, and backtesting components
Collaborate with quant researchers to implement framework for automating and presenting analytics, reports, and monitors
Collaborate with firm-wide technology teams to deliver analytics and tools to users across the firm
Requirements
Undergraduate, Masters, or PhD in Computer Science or other quantitative discipline
Lead and scale high-performing Shopping (PLA) and Text Ad campaigns across Google and emerging search platforms, focusing on feed optimization, testing, and ecommerce growth.
Compensation
Pay Range: $138,000 - $183,000
All posted ranges are reflective of base salary and may vary depending upon experience level and location. Bonus and equity may also be provided for eligible roles.
Pay Range
$138,000—$183,000 USD
Responsibilities
Play a crucial role in Quince’s growth story managing one of biggest channels which has grown 400% YoY and continued growth potential.
Support the end-to-end Paid Search strategy across Shopping (PLA) and Text Ads, driving performance, scalability, and innovation across Google and emerging engines such as Bing and Brave.
Requirements
Nice to have: visualization & analytical tools like Looker and SQL
Lead high-impact hardware and systems analytics initiatives, transforming telemetry into predictive models and strategic product metrics.
Compensation
$180,000—$270,000 USD
Responsibilities
Develop ML models spanning predictive modeling, time-series prediction, clustering, churn reduction, anomaly detection, and recommendation systems
Apply advanced computational methods and statistical techniques to massive datasets
Create executive-level visual analytics
Partner directly with Product, Engineering, and Business leaders to translate complex analytical findings into actionable strategy
Requirements
Master's degree (MS) or Ph.D. in Computational Methods, Physical Science, Statistics, Applied Mathematics, Data Science, or a related quantitative discipline
Own the day-to-day health of EDI and the Supplier Portal, implementing and supporting processes, training suppliers, analyzing transaction data, and driving operational improvements.
Compensation
US Salary Range
$117,000—$154,000 USD
Responsibilities
Implement and support EDI processes with suppliers and internal stakeholders, including trading partner onboarding, testing and validation of transaction sets, and troubleshooting failed or rejected documents to keep order, shipment and invoice flows moving
Implement and support Supplier Portal processes, including supplier onboarding and enablement, registration and invoicing workflows, and day-to-day issue resolution as portal adoption scales across the supply base
Train external suppliers on EDI and Supplier Portal processes, and create, maintain and update the supporting training materials, guides and job aids so suppliers can transact with Anduril accurately and without hand-holding
Act as a responsive point of contact for external suppliers and internal Supply Chain, Finance and Accounting partners, triaging questions, resolving transaction issues, and documenting recurring problems so they can be addressed at the process level
Analyze large supply chain data sets to measure transaction health, adoption, exception trends and cycle times, and translate findings into clear recommendations and recurring reporting for Supply Chain leadership
Lead receiving and supplier compliance operations at Anduril’s Orange County sites, ensuring material arrives on time and meets packaging, labeling, and traceability requirements.
Compensation
$117,000—$154,000 USD
Responsibilities
Own receiving exception throughput and reduce recurrence of failures
Drive supplier execution of delivery, packaging, labeling, and serialization requirements
Partner with Supplier Quality Engineering on root cause and corrective action
Automate enforcement workflows and chargeback processes
Publish recurring reporting on receiving performance and policy adoption
Requirements
Bachelor's degree in supply chain, industrial engineering, manufacturing engineering, business, or related field
Lead master data projects that support Anduril's Production organization, including Manufacturing, Supply Chain, Planning, Quality, and Operations.
Compensation
$132,000—$175,000 USD
Responsibilities
Lead cross-functional master data projects, including data cleanup, standardization, migration, and harmonization across business systems such as ERP, MES, PLM, WMS, Supplier Portal, and homegrown applications.
Manage project scope, plans, timelines, risks, and dependencies, and keep stakeholders informed through regular status updates.
Support the development and rollout of master data governance policies, standards, and procedures across Production.
Document and maintain master data workflows, roles, and responsibilities in partnership with Master Data Analysts, data owners, and functional leads.
Track and report KPIs and metrics on master data health, and escalate issues and trends to drive timely resolution.
Requirements
Bachelor's degree in Supply Chain, Industrial Engineering, Business Administration, Information Systems, or a related field.
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