高级数据科学家 - 运营（m/f/n）
(Senior) Data Scientist - Operations (m/f/n)
InPost 在波兰重新定义了电子商务包裹配送，并已成为欧洲领先的户外电子商务赋能平台之一。由 Rafał Brzoska 于 1999 年创立，InPost 通过我们覆盖九个欧洲国家的近 47,000 个自助包裹机（APM）和近 35,000 个自提点（PUDO），以及为电子商务商家提供的门到门快递和履约服务，提供配送服务。InPost 的包裹柜为消费者提供了更便宜、更灵活、更方便、更环保且无接触的配送选择。
你将加入我们的运营数据科学团队，解决规模最大的物流问题。你的模型不会只停留在笔记本中，而是每天处理数百万个包裹！
技术栈：Python（Pandas、NumPy、Scikit-learn、PyTorch / TensorFlow）、PySpark 及分布式处理、云平台（Azure / GCP / AWS）。Databricks、SQL 和数据仓库
你的工作将包括：
· 设计包裹配送的路径和分配算法
· 解决大规模优化问题（车辆、路线、约束、成本）
· 应用基于图的方法、聚类、回归和预测
· 构建直接影响配送速度、成本效率和客户体验的模型
· 将解决方案部署到生产环境——不只是实验
我们寻找的人选：
我们不要求你满足所有条件，但你应该对复杂问题解决和处理现实世界中的混乱系统感到舒适。
必须具备：
· 3 年以上数据科学 / 机器学习相关经验
· 熟练的 Python 技能和数据/机器学习库使用经验
· 处理大规模数据集的经验
· 对机器学习方法（回归、聚类、预测等）有扎实的理解
· 能够将业务问题转化为数据解决方案
如果你具备以下条件，会更加突出：
· 有优化问题经验（路径规划、排程、运筹学）
· 了解基于图的方法或网络问题
· 有构建在大规模生产环境中使用的模型经验
· 有 PySpark / 云平台（Databricks、GCP、AWS、Snowflake）经验
· 有机器学习运维（ML Ops）/ CI/CD 流水线经验
· 熟悉优化技术（线性规划、启发式方法）
· 熟悉 Kedro 或类似框架
为什么加入 InPost？
· 有机会在一个多元、国际和跨职能的环境中工作，与行业专家共同合作。
· 与资深领导一起工作并学习他们的领导力
查看英文原文
InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 47,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost’s lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option.
You’ll join our Operations Data Science Team, solving some of the most complex and impactful logistics problems at scale. Your models won’t sit in notebooks - they will move millions of parcels every day!
Tech stack: Python (Pandas, NumPy, Scikit-learn, PyTorch / TensorFlow), PySpark & distributed processing, Cloud platforms (Azure / GCP / AWS). Databricks, SQL & data warehouses
Your work will include:
· Designing routing and allocation algorithms for parcel delivery
· Solving large-scale optimization problems (vehicles, routes, constraints, costs)
· Applying graph-based methods, clustering, regression and forecasting
· Building models that directly impact delivery speed, cost efficiency and customer experience
· Shipping solutions into production - not just experiments
What we’re looking for:
We don’t expect you to tick every box - but you should feel comfortable with complex problem-solving and working with messy real-world systems.
Must have:
· ~3+ years in Data Science / ML roles
· Strong Python skills and experience with data/ML libraries
· Experience working with large-scale datasets
· Solid understanding of ML methods (regression, clustering, forecasting, etc.)
· Ability to translate business problems into data solutions
You’ll stand out if you:
· Have worked on optimization problems (routing, scheduling, operations research)
· Know graph-based approaches or network problems
· Have built models that are used in production at scale
· Have experience with PySpark / cloud (Databricks, GCP, AWS, Snowflake)
· Have experience with ML Ops / CI/CD pipelines
· Are familiar with optimization techniques (linear programming, heuristics)
· Are familiar with Kedro or similar frameworks
Why join InPost?
· Opportunity to work in a diverse, international, and cross-functional environment, along with leading experts.
· You work and learn from a senior leader and their leadership team, expanding your experience and exposure in the e-commerce and logistics industries.
· InPost is a growing company that offers its people an increasing number of opportunities in several locations in Europe.
· Fulfilling careers with a range of benefits and investing in providing training opportunities for people development.
· You will feel a part of the InPost community that makes an impact on sustainability, convenient deliveries, and the circular economy every day.
· Excellent working environment and flexible hours
· We offer B2B type of contract