Description:

Citizen is the No. 1 public safety app in the U.S., focused on making the world a safer place through 911 alerts and real-time updates.
The company is seeking an experienced Data Scientist, Machine Learning to lead initiatives and develop new features.
The role involves spearheading projects such as real-time audio transcription, relevance detection, and converting unstructured information into structured content.
The Data Scientist will guide prioritization and impact analysis across ML initiatives and identify opportunities to leverage new AI/ML tooling.
The position aims to enhance predictive analytics to predict user behaviors, such as converting to paid plans or churning.
The company faces challenges in scaling its infrastructure to support a rapidly growing user base and processing large volumes of audio data for safety incidents.
The technology stack includes Go for transactional systems, Python for analytical systems, and various datastores like Cassandra and MySQL.

Requirements:

A degree in Computer Science or a related field, or equivalent work experience in Machine Learning.
A solid theoretical grounding in core Machine Learning concepts and techniques.
Experience with various ML techniques and frameworks, including data discretization, normalization, sampling, linear regression, decision trees, SVMs, and deep neural networks.
A minimum of 3 years of experience leading and delivering effective ML solutions for production use cases.

The salary range for this position is $160,000-$205,000 annually, plus equity and benefits.
Citizen offers a competitive benefits package that includes medical, dental, and vision insurance, flexible spending accounts, paid time off, company holidays, and a stock option plan.
Additional benefits include commuter benefits and various wellness perks.