Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$143к-286к/год
$170к$180кмедиана$210к
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Чётко описанная роль уровня Staff в Company hidden сочетает продакшен-машинное обучение, автономные эксперименты и наставничество, хотя требование опыта с агентными системами сужает круг подходящих специалистов.
?Редкий опыт
AI для большой аудитории
Влияние на команду
Широкий пакет льгот
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Scientist (AI): Building foundational machine learning models for Walmart’s e-commerce platform with an accent on predictive analytics, autonomous research loops, model validation, and production deployment. Focus on designing AI-agent experimentation systems, automatically selecting high-performing models, and mentoring data science team members.
Location: Sunnyvale, California, United States; home office at 815 Eleventh Ave, Sunnyvale, CA 94089-4731
Annual salary: $143,000–$286,000, plus performance-based bonuses and possible stock compensation.
Company
hirify.global develops data-driven solutions for Walmart’s e-commerce platform, including search, advertising, recommendations, and personalization.
What you will do
Source and assess data from multiple business domains, ensuring quality and suitability for analysis.
Translate business problems into scalable, data-driven solutions with cross-functional teams.
Design, build, validate, deploy, and monitor predictive models using statistical and machine learning techniques.
Implement autonomous research loops in which AI agents tune hyperparameters, modify training code or architectures, and run experiments against defined objective metrics.
Automate offline model evaluation and selection to reduce manual experimentation cycles.
Mentor team members on analytical methods, coding practices, and model development.
Requirements
Proven expertise in predictive analytics, machine learning algorithms, and statistical hypothesis testing.
Python proficiency and experience with data visualization tools such as Matplotlib, Plotly, or Tableau.
Experience assessing, validating, and deploying models in production environments.
Hands-on experience building or operating agentic or autonomous research systems that iteratively tune hyperparameters or modify training code and architectures with minimal human intervention.
Experience running automated experimentation against defined objective metrics, including auto-generated evaluation reports and offline best-model selection.
Ability to translate complex business problems into data-driven solutions using advanced analytical modeling.
Familiarity with MLOps practices and NLP techniques.
Effective communication skills for presenting insights and mentoring junior team members.
Minimum qualification through one of the following: bachelor’s degree in a relevant field plus 4 years of analytics-related experience; master’s degree in a relevant field plus 2 years of analytics-related experience; or 6 years of experience in an analytics or related field.
Nice to have
Experience in data science, machine learning, or optimization models.
PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, or Applied Mathematics.
Successful completion of assessments in Python, Spark, Scala, or R.
Experience with open-source frameworks such as scikit-learn, TensorFlow, or Torch.
Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility best practices.
Culture & Benefits
Full-time employment with medical, vision, dental, life insurance, disability coverage, and 401(k) benefits.
Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, voting leave, vacation, and holidays.
Performance-based bonus awards, stock purchase benefits, and possible stock compensation.
Company discounts, military leave pay, and adoption and surrogacy expense reimbursement.
Live Better U provides Walmart-paid education programs, including tuition, books, and fees for eligible associates.
Benefits and eligibility depend on job classification and length of employment; the workplace maintains a drug-free policy.
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