Who is Flock?

Flock Safety is an all-in-one technology solution to eliminate crime and keep communities safe. Our intelligent platform combines the power of communities at scale - including cities, businesses, schools, and law enforcement agencies - to shape a safer future together. Our full-service, maintenance-free technology solution is trusted by communities across the country to help solve and deter crime in the pursuit of safer communities for everyone.

Our holistic public safety platform is comprehensive and intelligent, providing the actionable evidence needed to solve, deter and reduce crime across neighborhoods, schools, businesses and entire cities. Without compromising transparency or privacy, we are turning unbiased data into objective answers.

Flock strives to offer a career-defining experience where you can also make an impact on your community. While safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fulfilling relationships even when we are physically apart. Our group of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded. 

We have raised over $700M in venture capital from investors including Tiger Global, Andreessen Horowitz, Matrix Partners, Bedrock Capital, Meritech Capital Partners, and Initialized Capital. Now surpassing a $7.5B valuation, Flock is scaling intentionally and seeking the best and brightest to help us meet our goal of reducing crime in the United States by 25% in the next three years.

The Opportunity

As a Senior Data Scientist, you will explore and analyze data, create data models, and use advanced analytical and modeling techniques to build and deploy predictive and prescriptive tools to help drive critical business decisions.

The Skillset

• BS/MS in Analytics, Data Science, Computer Science, Mathematics, Statistics, Engineering or related field, or equivalent industry experience

• 3+ years proven experience as a data/decision scientist or AI/ML engineer

• Strong experience using Python and its core AI/ML/OR packages

• Strong SQL and data processing skills

• Experience developing data models, with exposure/experience with dbt a strong plus

• Experience building predictive, simulation, or optimization models

• Experience in data visualization tools (ex. Sigma, Tableau)

• Exposure to cloud infrastructure platforms and deployment patterns

• Ability to communicate with business partners and drive for solutions to complex and abstract problems

• Effectively communicate, and seek to understand and be understood

Feeling uneasy that you haven’t ticked every box? That’s okay; we’ve felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day.

90 Days at Flock

We are a results-oriented culture and believe job descriptions are a thing of the past. We prescribe 90 day plans and believe that good days, lead to good weeks, which lead to good months. This serves as a preview of the 90 day plan you will receive if you were to be hired in this role at Flock Safety.

The First 30 Days

• Learn our tech stack, internal toolkit, and data science standard patterns and processes

• Get to know the technical teams you’ll work closely with and the stakeholder groups you’ll be building tools for

• Deep dive into existing data science projects logic and architecture, and SQL data models

• Onboard to your first Data Science project and begin implementing your own model enhancements

The First 60 Days

• Deploy your own enhanced versions of the Data Science project you own, including SQL data models and python science model development

• Begin developing a new Data Science project from the ground up, including roadmap development with business stakeholders, science methodology proposal, and architecture design

• Build, test, and enhance your own models from the ground up

90 Days & Beyond

• Be fully independent within our end-to-end automation and deployment infrastructure

• Implement automated monitoring and testing for your models

• Continuously refine and enhance your owned projects

• Begin onboarding and developing further data science use cases to support strategic business needs

The Interview Process

We want our interview proce