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Supply Chain Engineer
Оценка ИИВысокий балл обусловлен сильным составом инвесторов (Founders Fund, 8VC) и возможностью стоять у истоков создания Data Science организации в перспективном стартапе. Роль предлагает работу с передовым стеком технологий.
Сложность вакансии
Оценка ИИРоль требует редкого сочетания глубокой экспертизы в логистике (5+ лет) и продвинутых навыков программирования на Python и SQL. Кандидату предстоит работать в динамичной среде стартапа, создавая продукты с нуля.
Анализ зарплаты
Оценка ИИУказанная роль в Чикаго для специалиста с опытом 5+ лет обычно оплачивается в диапазоне $130k-$170k. Поскольку Loop — стартап на стадии роста с серьезными инвесторами, можно ожидать конкурентную зарплату и опционы.
Сопроводительное письмо
I am writing to express my strong interest in the Supply Chain Engineer position at Loop. With over five years of experience in end-to-end supply chain operations and a robust background in advanced analytics using SQL and Python, I am eager to contribute to your mission of streamlining logistics payments and unlocking margin through data-driven insights.
In my previous roles, I have successfully developed network optimization and cost-to-serve models that directly impacted operational efficiency. I am particularly drawn to Loop's innovative use of AI to tackle the 'black box' of transportation spend. My experience in translating complex datasets into actionable dashboards for both internal stakeholders and external clients aligns perfectly with your goal of enhancing back-office productivity and spend visibility.
I am excited about the opportunity to work cross-functionally with your EPD and AI Platform teams to build scalable data models and industry-leading supply chain tools. Thank you for considering my application.
Составьте идеальное письмо к вакансии с ИИ-агентом
Откликнитесь в loop уже сейчас
Присоединяйтесь к Loop и создавайте будущее логистики на стыке AI и глубокой аналитики цепей поставок!
Описание вакансии
About Loop
Loop is on a mission to streamline the movement of money between shippers, carriers, and brokers to unlock margin and increase liquidity in the supply chain.
Today, logistics payments are a big black box that unnecessarily drains thousands, if not millions, of dollars. Legacy services do not meet the market's needs. Transportation teams need a solution that unlocks insights from their complex datasets, rather than drowning them in manual workflows.
Loop harnesses AI expertise with deep logistics industry knowledge to deliver automated audits, streamlined resolutions, expedited payments, and most importantly actionable insights. All so that shippers and 3PLs can improve spend visibility, eliminate unnecessary costs, and optimize their transportation spend. Loop’s customers see a 4% reduction in costs and an 80% boost in back-office productivity.
Loop is a customer-obsessed company that sees the complexity in the supply chain as an opportunity rather than a challenge. Our foundational AI capitalizes on the messiness in the system to maximize outcomes for our customers.
Investors include Founders Fund, 8VC, Susa Ventures, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise and experience from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, and Rakuten – as well as traditional logistics companies like CH Robinson.
About Role
As an Supply Chain Solutions Engineer at Loop, you will play a pivotal role in creating our data science organization. You’ll work cross-functionally to design and build the tools and reports that power our customer supply chains such as predictive analytics, center of gravity, network optimization, modal optimization, and much more. These products will enable us and our clients to accelerate data-driven decision-making throughout.
What you will do
- Own Core Supply Chain Tools: Design and build industry leading supply chain tools through client and internal engagement
- Own Core Reporting and Data Models: Collaborate with Analytics Engineers to derive and build scalable data models that power internal and client-facing analytics.
- Optimize Product: Continuously improve supply chain tools by leveraging AI and automation to enhance accuracy, efficiency, and client outcomes.
Qualifications:
- 5+ years Deep Supply Chain & Transportation Expertise: end-to-end supply chain operations, manufacturing, all modes of transportation , warehousing, distribution, returns, and repair logistics.
- 2+ years Advanced Analytics and Modeling Skills: network optimization, modal shifting, center of gravity, cost-to-serve, predictive analytics, and efficiency modeling
- Strong proficiency in SQL and Python for data transformations and automation
- Proven ability translating complex data into actionable insights, through dashboards and reporting, at all levels within an organization for both internal and external stakeholders.
- Excellent business communication skills translating data insights into actionable business strategies
Nice to Have:
- Global Supply Chain experience
- Previous experience working in a data environment at a startup
- Experience working in a product-led or solutions engineering environment
- Interest or experience in working with cutting-edge open-source data tools
- Proven ability to convert ad-hoc data requests into scalable business solutions
- Familiarity with AI/ML model outputs and how to integrate them into analytics products
Who You Will Work With:
- EPD (Engineering, Product, Design, and Analytic Engineers): Partner across EPD to build and maintain the data artifacts that power data-driven product decisions.
- Strategy and Operations: Enable product delivery teams (solutioning, analyst) to deliver value to customers through actionable dashboards, metrics, and self-service reports
- Product: Partner with product teams to ensure supply chain tools are shaped by real customer needs and delivered with impact
- AI Platform: Expedite the development of new models and training of existing models by simplifying the necessary data cleansing and preparation
Создайте идеальное резюме с помощью ИИ-агента
Навыки
- SQL
- Python
- Supply Chain Management
- Data Modeling
- Predictive Analytics
- Network Optimization
- Tableau
- Power BI
- Logistics
- Machine Learning
Возможные вопросы на собеседовании
Проверка глубины понимания логистических процессов и умения оптимизировать затраты.
Расскажите о вашем опыте моделирования 'Center of Gravity' или оптимизации транспортных модальностей: какие данные вы использовали и какого бизнес-эффекта достигли?
Оценка технических навыков владения инструментами автоматизации.
Опишите сложный пайплайн обработки данных, который вы реализовали на Python и SQL для задач Supply Chain. Как вы обеспечили его масштабируемость?
Проверка способности работать с современными технологиями, упомянутыми в вакансии.
Как бы вы подошли к интеграции выводов AI/ML моделей в аналитические дашборды для клиентов, чтобы они были интуитивно понятны?
Оценка навыков кросс-функционального взаимодействия.
Был ли у вас опыт перевода ad-hoc запросов от бизнеса в системные продуктовые решения? Приведите пример взаимодействия с командой разработки.
Проверка понимания специфики отрасли.
Какие основные 'болевые точки' в аудите логистических платежей вы видите сегодня и как автоматизация может их решить?
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