Data Scientist, Bigblue

• Strong interest in solving business-critical problems
• Comfortable with ownership and a large bias towards action and experimentation
• Hands-on experience with modern data stacks from orchestration to online models (we use Fivetran, BigQuery, dbt)
• Proficiency in the Python & SQL programming languages
• Solid foundations in Probability, Statistics, and ML theory
• Experience in offline model evaluation and online model evaluation via A/B testing

Desirable

• As a (still early) member of the data practice in the Bigblue product team, you will solve critical problems for our business and our merchants. You'll participate in our product development cycles, focusing on data problems and collaborating with designers, engineers, and stakeholders inside and outside Bigblue
• You'll own the entire problem-solution-experimentation lifecycle: build proof of concepts, quickly launch features and experiments in front of merchants and buyers to reach strategic outcomes. Solutions will be anything from data analysis, algorithms, to ML models.
• Some things you might work on:
• Computing a reliable, real-time delivery ETA to communicate to buyers,
• Iterating on our internal logistics algorithms to optimize specific parts of our operations (packaging, warehousing, ...),
• Finding the best and greenest routes in our European carrier network to deliver on time with a minimal carbon footprint
• Data is the true differentiator for Bigblue in the long run. We need your help to build out everyday data tools at Bigblue. You’ll be working with various internal teams across Engineering and Operations to help them be autonomous with their data needs
• You will build and own tooling, pipelines and canonical datasets to power Bigblue's analytics, intelligence, and external data integration. In short, you will make the core of Bigblue's datasets reliable and enable the entire team to make data-driven decisions every minute
• Surface unified data schemas and tables that provide a complete view of the business across our network
• Help operations data analysts setup and evolve their near-real-time operations monitoring dashboards to track warehouse and carrier operations closely
• Build a centralized experimentation platform to pipeline experiment metrics and compute descriptive statistics
• As an early data team member, you will take part in designing and running the data hiring process for both the data team and our distributed team of Analysts. You will get the opportunity to mentor other Data people and develop them into our future data leaders. You will get the opportunity to influence what data will mean for Bigblue in the coming years

• [45min] Hiring manager phone screen
• [1h] Live data problem-solving case study
• [45min] Data: past project interview
• Onsite
• [45min] Product team fit: chat with 2 Product team members
• [45min] Founder interview
• [15min] Conclusion with hiring manager
• [1-2 days] Reference calls
• 🎉 Offer