It's fun to work in a company where people truly BELIEVE in what they're doing!

We're committed to bringing passion and customer focus to the business.

Senior Data Scientist

In the time it takes you to read this job description, roughly 1,380 emergencies will be handled by RapidSOS.

RapidSOS is hiring! Join an advanced emergency technology start-up in transforming emergency response for hundreds of millions of people globally.

In partnership with public safety, RapidSOS has created the world’s first emergency response data platform that securely links life-saving data from 350M+ connected devices directly to 911 and first responders in an emergency. Through the platform, we’re providing intelligent data that supports over 4,800 Emergency Communications Centers, protecting 90%+ of people in the US, across 150 million emergencies annually.

Partnering with innovative companies recognized as RapidSOS Ready, we’re striving to reach everyone. Together, we’re empowering a faster and smarter response by sending first responders critical data like your exact location, real-time health information, and crash data. We’re united in our commitment to a safer, stronger future where technology and people work seamlessly together to save lives.

RapidSOS is backed by top venture capital firms and the former C-suite of Apple, AT&T, Verizon, Vodafone, Virgin Group, Lucent, Raytheon, the FCC, Harvard Data Initiative, and MIT.

Video: RapidSOS 3-Min Summary Video

RapidSOS in the last 18 months: 

• Launched in multiple countries internationally 

• Doubled team size 

• Grew revenue 10x+

• Raised $100M+

• Managed 200M+ emergencies (on average 400K/day) 

• Helped save thousands of lives  

What this role is about: 

At RapidSOS, we rely on insightful data to power our systems and solutions. We are looking for a seasoned and motivated data scientist to join our team. In your role, you will identify opportunities to improve user experience based on data, visualization, and insights. You will work collaboratively with other data scientists, product managers, and our engineering teams to build a platform that provides life-saving data to dispatchers, currently covering over 92% of the US population.

What you’ll do: 

• Enable smarter business, product, and monetization processes and implement analytics for meaningful insights using Python, R, SQL

• Provide testing techniques and methodologies in order to assess impact and effectiveness of business initiatives

• Prototype new ways to visualize and understand data relationships

• Identify opportunities to improve user experience based on data, visualization, and insights

• Introduce new concepts, models, and research proposals to improve RapidSOS’s capabilities

• Collaborate with the data science team, machine learning engineers, and product stakeholders to ensure the end-to-end success of RapidSOS solutions

What we’re looking for in our ideal candidate: 

• 5+ years professional experience in Data Science/Analytics experience

• BS or higher in Computer Science, Physics, Mathematics, Economics, Actuarial Sciences or similarly quantitative/technical field or equivalent experience

• Expert level familiarity using technologies such as Python, R, SQL

• Hands-on experience with traditional data warehouse technologies and BI or visualization tools; familiarity with BigQuery and AWS is preferred

• Deep understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Random Forests, etc.

• Excellent communication skills and ability to deliver data driven insights

What we offer: 

• The chance to work with a passionate team on solving one of the largest challenges globally 

• Competitive salary and benefits and equity participation 

• A dynamic, flexible and fun start-up work environment with a highly talented team

If you're curious to learn more about RapidSOS, you can check out our full press list! #LI-Remote

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!