Senior Full Stack Data Scientist

Description

Senior Full Stack Data Scientist

*** This job is hybrid if you live in the Bay Area or fully remote if you live anywhere else in the US ***

The Opportunity

We’re the creator of BetterSleep: the app that has helped more than 55 million people sleep and feel better across the globe. We have a sleep tracker, relaxing sounds, guided meditations and sleep stories, all available in over 6 different languages! We set out on a mission to help people change their lives with a better night’s sleep.

Who are we and why should you join us?

• We are taking sleep to the next level. We combine great content, technology, and data-driven product development to constantly learn, iterate, and improve.
• We are relentless in our pursuit of better, always questioning the status quo and discovering new ways to get things done and serve our users;
• Our team is agile and nimble, allowing you to have a huge impact and carve your own path from day one.
• We invest in our team’s well-being and professional development because we know that business and individual growth go hand-in-hand. You will move fast, remain flexible, and be challenged every day. Join us!

What are we looking for?

In this role, you will be responsible for overseeing and improving our data pipeline, ensuring data accuracy and quality across all available sources and driving impactful initiatives for the company, leveraging data. You will provide insights, recommendations and identify business leverage to the different stakeholders. This role reports to the Senior Director of Engineering.

Responsibilities

• Partner with the different stakeholders to identify insights and business levers;
• Act as a data subject matter expert beside the different teams with regard to the interpretation of data and the use of our analytic platform (MixPanel);
• Build, develop and maintain data pipelines, prediction models, dashboards and performance metrics that support key business decisions;
• Evaluate business performance and identify important trends;
• Monitor data reliability, quality and consistency across available data sources and collaborate to address issues;
• Participate in data and ML initiatives in collaboration with the engineering and product teams;
• Analyze and report on product experiments using hypothesis testing methods.
  
  

Requirements

• Bachelor's degree or above in economics, mathematics, statistics, computer science or other field;
• 8 years of experience with event driven dataset and B2C mobile app industry (strong asset);
• A passion for data analysis and presentation of data insights;
• Familiarity with probability, statistical modeling, and hypothesis testing;
• Strong experience with data engineering tech stack (ETL/ELT, SQL, Python, R, DBT, REST API, AirByte, BigQuery, SnowFlake, etc.);
• Strong proficiency with one or more data visualization (DataStudio, Tableau, PowerBI, etc.) and product analytics platforms (MixPanel, Amplitude, etc.)
• Ability to grasp the concepts of complex products and use cases to investigate, model, and present them (Powerpoint, Keynote, etc.)
• Ability to communicate effectively with both technical developers and non-technical marketing business partners;
• Self-starting attitude, strong written and verbal communication skills and an attention to detail.
  
  

Benefits

• Competitive salary
• Equity compensation in the form of restricted stock units (“RSU’s”)
• 401k benefits with employer matching contribution
• Excellent Health, Dental, and Vision Coverage
• Office in the heart of downtown Mountain View, a three-minute walk from Caltrain
• Commuter & lunch benefits, FSA accounts, and Employee Stock Purchase Programs
• MacBook Pro for Work
• UberEats budget
• Any Hardware/Software to Be Successful
• Free BetterHelp Therapy
• Free Teladoc Services