Senior Data Scientist, Workforce Management Analytics
关于沃尔特，我们创造出技术，为世界社区带来快乐，简单和收入.2014年，我们开始提供餐厅食品。现在我们正在建设 （几乎）所有的物品的交付，你会在全球30个国家的500多个城市找到我们.2022年，我们与 DoorDash 结合了力量，一起继续梦想大规模扩张到世界各地.Wolt 工作并不总是容易，但它绝对令人兴奋。在这里你将学习更多，建造更多，运输更多比其他公司。你将面临很多挑战，但也会有很多乐趣。作为支持团队的名称，这个团体负责 Wolt 在应用商店中获得顶级评分的客户体验旅程的核心部分。多年来，我们已经投入了大量资金到内部构建的支持工具中，因为我们相信这是唯一的方式可以确保我们在每一个25个国家中的所有客户和合作伙伴满意度。我们对客户运营的质量感到非常自豪，所以除了在我们的消费者应用程序中建立令人愉快的支持体验之外，我们还希望在客户和合作伙伴甚至注意到有什么可能不对的之前积极识别和解决问题。关于支持分析团队 支持分析团隊的主要目标是提供一个惊人的客户，商人和快递服务支持经验，同时优化我们的运作，通过提供可操作的见解并定量这些行动对整体业务的影响。你将成为这个团队的一部分与顶级数据科学和分析工程专业人士一起工作。作为沃尔特高级数据科学家，你的角色涉及到潜入我们的数据解决关键业务问题。这个职位范围从诊断问题的领域到识别解决方案到设计实验和最终影响决策。这是一个罕见的，运用性和可操作的数据驱动体验。当你加入这支团队时，你将在前线行动，而不是只是做另一个分析作用。你的工作主要集中在推动劳动力管理 (WFM) 团队的运营效率上，并通过创建准确的计划和内日资源来优化资源分配，简化预测流程，建立基础设施。
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About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
About the Support Group
As the name Support Group implies, this group is responsible for the core part of the customer experience journey that has got Wolt top-notch ratings in app stores.
During the years we’ve invested a lot in the in-house built support tooling as we believe that it’s the only way we can ensure the satisfaction of all of our customers and partners in each of the 25 countries that we operate in. We take huge pride in our customer operations’ quality, so on top of building delightful support experiences in our consumer app we also want to proactively identify and solve issues even before our customers and partners even notice something might be wrong.
About the Support Analytics Team
Our Support Analytics team’s main goal is to deliver an amazing Customer, Merchants & Courier support experience while optimizing our operations by providing actionable insights and quantifying the impact of those actions on the overall business. 💡
You’ll be part of this team working with top Data Science and Analytics Engineering professionals.
What you’ll be doing
As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational, and actionable data-driven experience. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics role.
Your job will mainly focus on driving operational efficiency with the Workforce Management (WFM) team and optimizing resource allocation by creating accurate scheduling and intraday forecasts, simplifying forecasting processes, building and supporting KPI dashboards, conducting root cause analysis for SLA improvements, exploring cost optimization opportunities, managing the capacity plan framework, enhancing the WFM data pipeline, and uncovering data-driven insights to refine planning, scheduling, reporting, and intraday management.
Our humble expectations
Required:
- 5+ years of experience in a data science or analytics position
- Experience building forecasting models and time series analysis (Prophet, SARIMA, Holt-Winters or similar)
- Experience in Cost Analysis and What-if Scenario Analysis
- Deep knowledge of statistical packages in Python or R
- Proficiency in writing structured and efficient SQL queries for large data sets
- Ability to influence and advise senior stakeholders Good to have:
- Experience using ML for forecasting
- Experience working with ML engineers/ML platform
- Building data pipelines using Airflow or similar tools
What we offer
- The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics.
- You have the chance to decide the ways of working: a hybrid, at the office, or remote in Berlin. 💙
- You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.
Next steps
The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!
For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .
Originally posted on Himalayas