3 дня назад
Director, Data Science - Earnings Innovation & Automation (AI)
130 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Data Science - Earnings Innovation & Automation (AI) (ML, GenAI, compliance): Building production-grade data science and automation solutions for contractor earnings, tax, and compliance with an accent on anomaly detection, tax classification, risk monitoring, and model governance. Focus on defining AI/ML strategy, leading a data science tiger team, scaling intelligent solutions into production, and ensuring transparent, auditable models.
Location: Bentonville, Arkansas, United States
Annual salary: $130,000–$260,000 for the Bentonville position. Additional compensation may include performance bonuses and stock.
Company
operates a global independent-contractor earnings team responsible for calculating, disbursing, and reporting contractor earnings and tax processes.
What you will do
- Define and lead the AI/ML strategy for contractor earnings, tax, and compliance.
- Identify and deliver use cases such as anomaly detection, tax classification, and risk monitoring.
- Build and lead a high-performing data science tiger team to prototype, test, and scale solutions.
- Develop ML and GenAI automation that improves accuracy, reduces manual effort, and enhances stakeholder experience.
- Embed transparency, auditability, compliance, and governance into AI solutions.
- Partner with Product, Engineering, Operations, Compliance, and Governance to scale solutions into production and deliver measurable impact.
Requirements
- 10–12+ years of experience in data science, machine learning, or AI, including 3–5+ years leading high-performing teams.
- Strong experience building and scaling production-grade ML/AI solutions in complex environments.
- Deep technical expertise in Python, SQL, and modern ML frameworks such as TensorFlow or PyTorch.
- Hands-on experience with GenAI and LLMs applied to business problems.
- Strong understanding of model governance, explainability, and risk management.
- Bachelor’s or master’s degree in a relevant field, or 8 years of experience in analytics or a related field.
Nice to have
- Experience in fintech, payments, tax, or compliance-heavy domains.
- Experience with optimization models, Spark, Scala, R, or open-source ML frameworks.
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, or Applied Mathematics.
- Supervisory experience and knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.
Culture & Benefits
- Medical, vision, and dental coverage.
- 401(k), stock purchase opportunities, company-paid life insurance, and potential stock compensation.
- Paid time off, sick leave, parental leave, family care leave, bereavement leave, and other leave programs.
- Short- and long-term disability, company discounts, military leave pay, and adoption and surrogacy reimbursement.
- Walmart-paid education benefits covering tuition, books, and fees for eligible programs.
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