高级数据科学家 - 个性化（男/女/其他）
(Senior) Data Scientist - Personalisation (m/f/n)
InPost 在波兰革新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。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 个自动包裹机（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经济、灵活、便捷、环保且无接触的配送选择。
我们正在寻找有才华且充满热情的数据科学家加入我们的个性化中心。在这一职位中，您将利用先进的分析技术和机器学习模型，从复杂的数据集中提取可操作的见解，推动战略决策和运营卓越。您将与跨职能团队紧密合作，开发创新解决方案，以提升我们的物流运营、提高效率并提升客户体验。
如果您在用户、产品和/或营销数据科学方面有专业知识（或希望获得该知识）——我们非常希望能与您见面！:)
日常工作中，您将：
· 与我们的产品和业务团队合作，了解他们的需求，将其转化为数据科学解决方案，并提供可操作的见解。我们与 InPost 内的所有业务产品合作，例如 InPost 移动应用、忠诚度计划、InPost Pay 等。
· 开发并实施数据科学解决方案（ML 模型、GenAI 产品、混合方法、数据分析），以优化营销和产品策略，提升用户体验并塑造目标定位。
· 与跨职能团队（如其他 Data&AI 团队、技术团队）紧密合作，确保数据驱动项目的无缝集成。
· 跟踪前沿方法，掌握数据科学与 AI 领域的新趋势。
· 向管理层和业务团队以及其他数据社区成员传达见解和建议。
简而言之，您将有机会进行端到端的数据产品开发：探索业务需求（技能：理解业务、沟通能力）、分析问题并提出论点（数据分析）、开发解决方案（技能：动手 ML/AI）、展示见解和结果（技能：沟通能力、将技术内容转化为非技术人员能理解的内容、PPT/BI）、维护解决方案（技能：基础 BI 技能）
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.
We are seeking talented and passionate Data Scientists to join our Personalization Hub. In this role, you will leverage advanced analytical techniques and machine learning models to extract actionable insights from our complex data sets, driving strategic decision-making and operational excellence. You will collaborate closely with cross-functional teams to develop innovative solutions that enhance our logistics operations, improve efficiency, and elevate the customer experience.
If you have specialized knowledge in user, product and/or marketing data science (or want to gain it) - we would very much like to meet you! :)
On a daily basis you will:
· Partner with our Product and Business Teams to understand their needs, translate them into data science solutions, and provide actionable insights. We work with all business products within InPost, e.g. InPost Mobile, Loyalty Programme, InPost Pay, among others.
· Develop and implement data science solutions (ML models, GenAI products, hybrid approaches, data analytics) to optimize marketing and products strategies, enhance user experience and shape targeting.
· Collaborate closely with cross-functional teams (e.g. other Data&AI teams, Technology teams) to ensure seamless integration of data-driven initiatives.
· Stay ahead of the curve exploring cutting-edge methods and being on top of new trends in Data Science & AI.
· Communicate insights and recommendations to the management and business teams, and other data community members.
In summary – you will have an opportunity to conduct end-to-end data products: exploring business needs (skills: understanding business, communication), analyze problems and propose thesis (data analytics), develop a solution (skills: hands-on ML/AI), present insights and results (skills: communication, translating technical stuff to non-technical people, ppt/BI), maintain the solution (skills: basic BI skills, model monitoring).
Job requirements:
· Education – Bachelor’s or Master’s degree in a relevant field, e.g. Data Science, Computer Science, Mathematics, Econometrics
· Experience – you have at least 3 years of commercial experience as a Data Scientist. Consulting and marketing analytics experience are a plus
· Mindset – you are goal-oriented and independent, skilled in change and time management, business-conscious, able to think long-term and decompose business problems
· Languages – you are proficient in Polish and English (other languages knowledge is a plus).
Technical skills:
· Excellent knowledge of ML solutions and their impact on business and user experience (clustering, recommender systems, regression, classification, etc.).
· Hands-on experience with working with large amounts of data.
· Proficiency in Python 3, as well as ML and data analysis libraries (e.g. Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, TF/Pytorch, etc.).
· Experience in writing well-structured code: functions, classes, modules.
· Knowledge and experience in PySpark, relational databases, cloud solutions (e.g. Databricks, Azure, GCP, AWS, Snowflake).
Nice to have:
· Experience in leveraging CI/CD pipelines in data-based products.
· Experience with data pipelines framework, preferably Kedro.
· Experience with CLI tools: bash/zsh.
Why join Us?
· Impact: Your work will directly influence strategic decisions and operational efficiencies across multiple international markets.
· Innovation: Be part of the team that's pushing boundaries of data analytics, working with the latest technologies and methodologies.
· Growth: This role offers unparalleled opportunities for professional development in a data-driven, technology-forward environment.
· Collaboration: Engage with cross-functional teams, share knowledge and best practices, fostering a culture of continuous learning and improvement.
· We offer B2B type of Contract