Data Scientist

4 weeks ago

Stockholm, Stockholm, Sweden Wolt Full time
About the Role

We are seeking a highly skilled Data Scientist to join our team at Wolt. As a Data Scientist, you will be responsible for diving into our data to solve crucial business problems. Your role will involve diagnosing problem areas, identifying solutions, designing experiments, and influencing decision-making.

Our team works closely with top Data Science and Analytics Engineering professionals to deliver an amazing Customer, Merchants & Courier support experience while optimizing our operations. You will be part of this team, working on driving operational efficiency with the Workforce Management (WFM) team and optimizing resource allocation.

Key responsibilities include 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.

What You'll Do:

  • Develop and automate forecasting models to plan the capacity of the support centers across different locations.
  • Maintain and improve efficiency metrics, tracking scheduling efficiency, occupancy rates, and other key performance indicators.
  • Create metrics and build data pipelines, transforming data into valuable information to be used in critical decision-making.
  • Use advanced analytics & statistical analysis to accelerate decision-making and build heuristics to quantify the impact of those decisions.
  • Work backward from understanding and sizing problems to ideating solutions.

What You'll Get:

  • The opportunity to work with a talented team of professionals in a dynamic and fast-paced environment.
  • The chance to make a significant impact on the company's operations and growth.
  • A competitive compensation package, including a negotiable combination of monthly pay and DoorDash RSUs.

Requirements:

  • Degree in Mathematics, Statistics, Computer Science, or a related field.
  • 3+ years of experience in a data science or analytics position within an industry or research setting.
  • Expertise in statistical analysis, using statistical software packages in Python, R, or equivalent.
  • Exceptional communications skills, with the ability to influence and advise senior stakeholders through telling exciting and valuable stories from any data exploration.
  • Proficiency in writing structured and efficient SQL queries for large data sets.
  • Have prior experience building forecasting models & time series analysis (Prophet, SARIMA, Holt-Winters or similar).
  • Have prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar.
  • Comfortable with building data pipelines using Airflow or similar tools.

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