Data Scientist
Truleo is currently hiring data scientists to help expand our transcription and natural language processing capabilities.
About Truleo
Truleo provides automated review and analysis of police body camera data. We enable law enforcement agencies and local governments to gather actionable insights from the thousands of daily interactions captured on body worn cameras (BWC).
Truleo examines conversations and interactions across proprietary models built by the top 1% of law enforcement. Truleo helps agencies mitigate risk, improve officer wellness, improve de-escalation techniques, reduce storage budgets, and dramatically improve their overall relationship with their community.
We are a force for good. We have partnered with police departments around the country and are helping them to improve trust with their community.
Truleo is a well funded, early-stage startup, with world class technology and culture. We are looking for the best of the best to join our rapidly growing team.
We are offering top salary, benefits, equity, the opportunity to work with a first class team on an impactful problem and a chance to make a vertical leap in your career.
Truleo is currently hiring data scientists to help expand our transcription and natural language processing capabilities.
What You'll Do
As a member of the Truleo Data Science team, you will be responsible for leading the development of ground-breaking technologies in the field of speech recognition & natural language processing for public safety.
You will have influence on our overall strategy by helping define product features, build machine-learning models, drive system architecture decisions, and spearhead industry-best practices.
Truleo Data Scientists split their day between machine learning, NLP, software development, and data engineering to own the complete pipeline of deploying models at enterprise-scale to solve core customer problems.
The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in understanding business problems and crafting mathematical and statistical models to answer them.
A commitment to team work and strong communication skills (to both business and technical partners) are core requirements.
Requirements :Nice-to-haves :