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Convenient carpools with co-workers and neighbors

Senior Data Scientist

$140k – $180k • No equity
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About Scoop

Scoop brings co-workers and neighbors together to enjoy a smooth carpooling experience—unlocking new opportunities to create friendships, improve their well-being, and make the most of their valuable time.

Learn more in Crunchbase: news.crunchbase.com/news/scoop-raises-60m-for-corporate-carpooling-as-gridloc…

Scoop is looking for data scientists to join our team with experience in applying machine learning and data science techniques towards anomaly detection, optimization, natural language processing, security, and time series forecasting.


Engineering @ Scoop

Few companies get to face such diverse technical challenges as Scoop, and we’ve built a team of people excited to face these challenges together while investing in each others’ growth.

Scoop’s engineering team may move bits and pixels, but we also put real, live human beings in cars together. We’re touching problems academics have written about for years, and have data that no other company has ever collected.

But Scoop knows engineering is not a lone discipline. We’re a small team with varied backgrounds: big companies, VC-backed startups, bootcamps, academia. We like to build together, and we like to learn together. Our entire team and process are built around helping you grow and be successful. And we’d love to tell you more about the impact you could have at Scoop.


In this role, you will:
* Work closely with Scoop’s product and engineering teams to draw key insights to drive critical decision making through geospatial data, anomaly detection, and predictive modeling
* Perform exploratory data analysis to gain a deeper understanding of carpooler behaviors and trends 
* Own the development and implementation of models, as well as monitoring of the models’ outcomes and performance
* Empower other teams to make data-driven decisions by creating tools, resources, and training
* Shape the future direction of Scoop’s products by productionizing ML models and creating new data driven features

You should:
* 5+ years or equivalent experience
* Proficiency in Python and/or Scala 
* Have a strong understanding of machine learning techniques and their theoretical underpinnings
* Have experience with end-to-end quantitative analysis, from data preparation through analysis and modeling to visualization
* Be able to communicate complex technical concepts and collaborate effectively across different teams to help drive produce and business decisions

Preferred Qualifications:
* Mobility/Transportation domain knowledge
* Data engineering exposure and worked with Spark
* Experience in production-scale machine learning software development machine learning

Life @ Scoop

Founded in 2015 and based in downtown SF, our team mixes technology and elbow grease every day, with one statistic in our crosshairs: 80% of Americans drive alone to work. At Scoop, we envision a world where commuters feel empowered — starting with a choice to make their commute a meaningful part of their day. We embody that same spirit within our own culture, empowering every team member to make this the most meaningful experience of their career.

Walk into Scoop and you’ll find a furry, tail-wagging welcoming committee. In many ways these fluffy faces exemplify the energy that flows through our office. They are a reminder that while we’re focused and driven, we shouldn’t take ourselves too seriously. They also help bridge the gap between our homes and our workplace, just like a Scoop carpool.

The atmosphere overall is dynamic and unique. It’s influenced by our backgrounds at successful startups, big tech companies, and premier consulting firms — blended and crafted into what feels natural and right for this company. It plays out in our balance of scrappy and strategic, frameworks and fast thinking.

At Scoop, we’re all united by our desire to change the way people get to work — and committed to enjoying the journey together along the way.

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