- Salary
- $15k – $175k/yr
- Workplace
- Remote
- Type
- Full-time
- Department
- Operations
- Education
- PhD
- Source
- Y Combinator
Description
The Opportunity
As an Operations Research Analyst, you will use advanced optimization modeling techniques to build and deploy prescriptive tools to help drive critical business decisions. You will:
- Model and document operations processes to better understand how to approach improving them
- Work alongside Engineering and Operations teams to better understand issues and communicate plans and solutions
- Develop custom optimization algorithms to solve critical operations and logistics use cases
- Develop metrics to best measure effectiveness of a solution
- Perform data analysis to understand anomalies or aberrations
- Integrate and deploy solutions into existing operations systems
The Skillset
- BS/MS/PhD in Operations Research, Industrial Engineering, Data Science, Computer Science, Mathematics, Physics, or related field, or equivalent industry experience
- 3+ years proven experience as an operations researcher or equivalent role
- Experience developing and maintaining end-to-end operations research production processes, including data modeling, algorithm development, testing, and metric tracking
- Strong experience using optimization packages such as CPLEX, Gurobi and OR-Tools
- Strong experience using programming languages such as C++, Java, and Python to implement optimization models
- Proficiency in SQL and data processing skills, with exposure/experience with dbt a strong plus
- 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
