Director of Data Science at RapidSOS
Argentina / Remote
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+
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 an experienced and motivated Director of Data Science to join our team who will develop the long-term vision for the data science organization regarding latent needs, active needs, analysis, and actions. 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:
Develop models and collaborate with others to get consensus and adoption from critical stakeholders
Lead strategic projects and data-driven decision making by partnering with key cross-functional teams and leadership
Build tools/systems that are standardized across the data science organization
Identify ways to make the Data Science organization more effective at shipping models, insights, and emergency intelligence
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
Provide mentorship and guidance to data scientists by giving constructive feedback and implementing best practices
What we’re looking for in our ideal candidate:
7+ years of experience leading data science, engineering, and analyst teams
BS or higher in Computer Science, Physics, Mathematics, Economics, Actuarial Sciences or similarly quantitative/technical field or equivalent experience
Proficiency in Python, R, SQL
Hands-on experience with traditional data warehouse technologies and BI or visualization tools; familiarity with BigQuery and AWS is preferred
Master level of machine learning techniques, algorithms and data visualization, 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!
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!