Senior Data Scientist, Operations Modeling

United States

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$175,000 – $190,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Public Safety, SecurityIndustries

Requirements

Candidates should possess a BS/MS in Analytics, Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field, or equivalent industry experience, with at least 3 years of proven experience as a data/decision scientist or AI/ML engineer. Strong proficiency in Python and its core AI/ML/OR packages, along with robust SQL and data processing skills, is essential. Experience developing data models, familiarity with dbt, building predictive, simulation, or optimization models, and exposure to data visualization tools like Sigma or Tableau are required. Additionally, candidates should have exposure to cloud infrastructure platforms and deployment patterns, and the ability to communicate effectively with business partners to drive solutions for complex problems.

Responsibilities

The Senior Data Scientist will explore and analyze data, create data models, and utilize advanced analytical and modeling techniques to build and deploy predictive and prescriptive tools that drive critical business decisions. Responsibilities include understanding and enhancing existing data science projects, deploying improved SQL data models and Python science models, and developing new data science projects from inception, including roadmap creation with stakeholders and proposing science methodology and architecture.

Skills

Data Modeling

Predictive Modeling

Prescriptive Modeling

Analytics

Data Science

Computer Science

Mathematics

Statistics

Engineering

Flock Safety

License plate reader cameras for crime prevention

About Flock Safety

Flock Safety provides a system aimed at enhancing public safety through crime prevention while ensuring privacy and reducing bias. The main product is a network of license plate reader cameras that capture essential vehicle information, which helps in solving crimes. These cameras utilize machine learning technology to ensure that the data collected is objective and ethically used. Flock Safety serves a variety of clients, including neighborhoods, businesses, and law enforcement agencies in over 1,000 cities. The company operates on a subscription model, where clients pay for the installation, maintenance, and access to data and analytics. This approach not only generates a steady revenue stream but also allows clients to benefit from ongoing updates and support. Flock Safety's goal is to create safer communities by providing effective crime prevention tools that respect individual privacy and foster trust between the public and law enforcement.

Atlanta, GeorgiaHeadquarters

2017Year Founded

$372.2MTotal Funding

SERIES_ECompany Stage

Government & Public Sector, Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Unlimited PTO

12 paid holidays

Fully-paid health benefits

16 weeks of parental leave

Work from home allowance

Learning & development stipend

Home office stipend

Risks

Privacy concerns may lead to legal challenges affecting ALPR technology operations.

Integration of drone technology may increase operational costs and financial strain.

Economic downturns could reduce client spending on subscription-based services.

Differentiation

Flock Safety integrates ALPR cameras with AI for unbiased crime-solving data.

The company offers a full-service, maintenance-free technology solution for public safety.

Flock Safety's platform combines community power to enhance safety across cities and businesses.

Upsides

Acquisition of Aerodome enhances drone technology for public safety solutions.

Partnership with MS2 expands AI Traffic Analytics capabilities for state agencies.

Solar-Powered Condor video solutions increase market penetration in infrastructure-lacking areas.

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