Data Scientist, Mobile at Mapbox
Washington, DC, US / San Francisco, CA, US
Maps are no longer static. Our maps represent the ever-evolving world, accessing, aggregating, and adapting anonymous data from millions of sensors and phones in real-time. Mapbox has the exciting opportunity to power devices and products across the next frontier in location-based data, such as Internet of Things and AR/VR.
Whether you’re watching the delivery of your grocery order on Instacart, looking at a gym on ClassPass, sending your snaps on Snapchat, tracking your personal best on Strava, monitoring your gas budget on Metromile, or checking today’s forecast on The Weather Channel, Mapbox is the location and maps within those apps. We’re changing how people move by live-mapping the world. We are the developer platform for location.

What We Do

The Mobile team builds the SDKs that our customers use to power apps on Android, iOS, QT, React Native, and Unity. We work with devices of all shapes and forms, from the latest flagship phone to tablets, laptops, smartwatches, HMD, and embedded boards. Our developers build apps, games and navigation experiences that top the App Store and Play Store rankings, and we are constantly working together to help them build what’s next, whether that’s an Augmented Reality game or an Autonomous Driving experience.
You will also be working closely with the Data Engineering team. This is the team responsible toprocesses billions of events and terabytes of data to provide visibility into how our customers use our products, and helps everyone at Mapbox make decisions informed by data. We are built on top of AWS. We use tools like Kinesis, Redshift, S3, and EMR. We automate tasks with Lambda, ECS, Airflow, and scheduled events. We talk about data in terms of streams, ponds, lakes and other geographic terms. We are a map company, after all.

What You’ll Do

  • Build and maintain systems that track key metrics for data collection volume, coverage, and quality.
  • Create and maintain a Telemetry Data Quality report including platforms, app conditions, app types, localities, and precision.
  • Identify areas where we can optimize data collection and surface regressions.
  • Enhance privacy measures while ensuring high quality data that is useful for a variety of data products.
  • Mentor team members about our data products and how to use our data analysis tools.
  • Build data expertise across teams and own mobile data quality.
  • Liaise with the Data Engineering team.

What We Believe are Important Traits for This Role

  • A solid engineering foundation and an interest in data.
  • Experience building and maintaining data pipelines.
  • Experience working with mobile platforms.
  • Ability to communicate insights from data to both engineers and business partners.
  • Ability to communicate how complex systems work, and how tools can be applied to challenging data processing problems.
  • Desire to learn and to teach.
  • Experience using tools to explore and build reports using SQL queries. We use Mode Analytics.
  • Ability to discover, debug, and fix data quality issues.
  • Open-minded to explore new languages, skills, techniques, and platforms.

What We Value

  • We value high performing creative individuals who dig into problems and opportunities.
  • We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.
  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
  • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.