Sr. Operations Researcher

  • Rappi
  • Buenos Aires, Argentina
  • Dec 04, 2019
Full time

Job Description

Rappi is the fastest growing Latin American startup ever! Backed by the world’s best investors, including Sequoia, Andreesen Horowitz, Y Combinator, DST Capital, and Softbank we reached unicorn status last year and haven’t slowed down. We deliver whatever our customers want on-demand to their doorstep in minutes, from restaurants to groceries to hard cash. We have also recently launch wallet and eCommerce products which are taking off quickly to become the "SuperApp" of LatAm. We operate in 40 cities across 7 countries in Latin America, with large hubs in Mexico City, Bogotá, Sao Paulo, and Buenos Aires. 
The Team
We are the OpsTech department, responsible for developing cutting-edge technology applied to the operation. We manage the logistics of the company applying technical and business knowledge. Some of our ongoing projects are:
- Courier (offer) spatial and temporal distribution.- Demand in-app guidance.- Order matching (assignment) and bundling.- Vehicle routing.- Operation simulation.- Time and routing estimations (ETA's, transportation directions).- Geographical clustering.
You will be working alongside back and front-end developers (full-stack as well), operations researchers, data scientists, machine learning engineers, analytics consultants and product owners. We strive for operational excellence and work with elevated volumes of data, using descriptive, predictive and prescriptive analytics. Our problems are highly challenging, as we are constantly making decisions over hundreds of thousands of real-time variables. We are a core department, enabling Rappi as a SuperApp in LatAm.

ThePosition
We are looking for a Sr. Operations Researcher to help us lead the development of new algorithms and technologies to improve the aforementioned operation. You should be highly comfortable working with technology, leading teams and communicating with business stakeholders. You will be guiding the decisions that we make around product, operations and tech. Information is only valuable when transformed into actionable insights, and it is through experimentation, high-tempo testing, rigorous measurement, and correct communication that our teams achieve our audacious goal. As part of your impact, you will:
- Build, implement, and maintain OR systems in technology products, using engineering best practices for delivering reliable, scalable, and secure software.- Be responsible for the implementation, testing, and release of a range of models, both for existing and “to-be-invented” use cases.- Work closely with other data professionals to design, code, train, test, deploy, iterate and own state-of-the-art systems for executing OR models.- Build end-to-end data pipelines to train, maintain, and track performance of our Machine Learning and Operations Research products.
Please make sure you fulfill the following requirements to apply for this position. We are excited to work with you!

Requirements (must have's)

Extensive knowledge in Operations Research, such as: large-scale, graph (network) and stochastic optimization; discrete events and continuous simulation; probability, statistics, etc...3-5 years of experience in an industry with similar issues.Advanced experience writing and shipping code into production using popular languages such as: Python, Go, JavaScript, Java, etc...Accustomed to analyzing and working with large quantities of data, using analytical tools such as: R, Julia, Jupyter Notebooks, etc...Knowledge in SQL databases (MySQL, PostgreSQL, etc...).Familiar with microservice-oriented software architectures.Knows how to work with versioning systems (Git) and forms of agile software development methods.Ability to communicate complicated technical problems and solutions to both technical and business audiences.Knowledge in testing and experimenting strategies, both in development and production.Fluent in English, both verbal and written.

Desired (nice to have's)

Degree (s) in any of the following fields (or similar): computer science, operations research, statistics, mathematics, engineering.Use of NoSQL and caches (MongoDB, DynamoDB, Redis, MemCached, etc...).Can work with containers (Docker, Compose, Kubernetes).Experience in CI/CD pipelines (Jenkins, GoCD, Concourse, etc...).Knowledge in building data pipelines (Airflow, Luigi, etc...).Fluent in Portugese, both verbal and written.