aipythonsqldata scienceoptimizationawsmlopsmachine learningdatabricksoperations research
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$162к$185кмедиана$214к
50 в выборке
На СНГ рынке: $4.4к/мес ($3.6к - $6к)
80
Хорошая вакансия
развернуть
В Company hidden хорошо описана senior-роль на стыке AI и аналитики решений, с современными инструментами, сильным пакетом льгот и прикладными задачами для цепочек поставок. Но зарплата не указана, работа только на месте, а спонсорства виз нет.
Кликните для подробной информации
Зарплата не указанаТолько офисБез визовой поддержкиСовременный стекПонятные задачиСильный соцпакет
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Engineer - Decision Scientist (AI): Implementing optimization, data science, and AI solutions for Toyota’s Supply Chain transformation with an accent on reproducible analytical workflows, machine learning, forecasting, and decision support. Focus on designing scalable data and model pipelines, validating and deploying production solutions, and solving complex supply chain problems across cross-functional fusion teams.
Location: Plano, Texas, United States; based at hirify.global Motor North America Headquarters. Must have the right to work in the United States and must not require hirify.global immigration support or sponsorship now or in the future.
Company
hirify.global is an automotive manufacturer developing high-quality mobility solutions and digital innovations.
What you will do
Implement optimization, data science, machine learning, and AI solutions for Supply Chain decision support in line with architectural decisions, responsible AI practices, and enterprise standards.
Design, develop, and maintain reproducible data preparation, feature-engineering, modeling, scoring, and orchestration workflows using Python, SQL, Databricks, and approved cloud services.
Develop statistical, forecasting, optimization, anomaly detection, natural language processing, and generative AI approaches for Supply Chain data.
Work with Business Product Owners and cross-functional fusion teams to define requirements, analytical questions, success measures, and acceptance criteria.
Validate, monitor, explain, troubleshoot, and deploy models and analytical services through pipelines, APIs, dashboards, and workflow applications.
Ensure security, privacy, performance, scalability, monitoring, integrations, data quality, and dependable production operation while experimenting with emerging tools and supporting Supply Chain users.
Requirements
5+ years of hands-on experience with modern technologies in operations research, data science, machine learning, statistical analysis, and data integration.
5+ years of experience creating end-to-end data science or machine learning solutions handling large data volumes and supporting Supply Chain decisions, business analytics, or operational products.
3+ years of hands-on experience with Python, SQL, data preparation, model development, and reproducible analytical workflows.
Proficiency in optimization, simulation, operations research, or scenario planning for cost, sourcing, supplier, inventory, logistics, or allocation decisions, with experience using solvers such as Gurobi.
Practical experience with AWS, Apache Spark, Databricks, AWS Redshift, S3, and orchestration tools such as Apache Airflow or AWS Step Functions.
Experience with technical design, model and application development, code reviews, code quality, deployment, security, release practices, and monitoring using tools such as Datadog, CloudWatch, or Grafana.
Strong understanding of DevOps, MLOps, CI/CD, agile methodologies, Git, functional and non-functional requirements, security, privacy, performance, scalability, explainability, and responsible AI.
Ability to solve complex technical problems, identify root causes, understand business needs, communicate effectively, collaborate across functions, and work in changing Supply Chain fusion teams.
Demonstrated use of AI tools as assistants in data science workflows, with judgment regarding quality, review standards, experimentation, and appropriate use.
Nice to have
Familiarity with machine learning, generative AI, prompt engineering, model evaluation, AI governance, and responsible AI.
Experience using GitHub Copilot in secure development workflows.
Experience transforming large-scale applications or modernizing analytical products.
Experience in Supply Chain, manufacturing, logistics, procurement, supplier development, planning, or supplier risk.
Experience building production workflows with LLMs, retrieval-augmented generation, AI agents, retrieval, tool calling, evaluation, or agentic pipelines.
Culture & Benefits
Teamwork, flexibility, respect, and an inclusive work environment.
Professional growth and development programs, including tuition reimbursement.
Comprehensive health care and wellness plans, paid holidays, and paid time off.
401(k) plan with company match and annual retirement contribution, where applicable.
Vehicle purchase discount, lease vehicle program where applicable, and tax-advantaged accounts including HSA and FSAs.
Relocation assistance where applicable and referral services for prenatal care, adoption, childcare, and schools.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →