Data Scientist at Rappi

Bogotá, Bogota D.C., Colombia -

Full Time

Start Date

Immediate

Expiry Date

14 Mar, 26

Salary

0.0

Posted On

14 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, A/B Testing, Data Visualization, Python, Analytics, Cross-Functional Collaboration, KPI Tracking, Dashboard Development, Business Case Development, Data-Driven Decision Making, Experimentation, Automation Tools, Communication, Ownership, Entrepreneurial Mindset

Industry

technology;Information and Media

Description

Hey, it's time for you to join us showing the world we are the company that is changing paradigms, where we revolutionize the hours, minutes and seconds! Do you want to know why Rappi? ⭐️ WE SEE OPPORTUNITIES where others see problems ⭐️ WE SEE CLOSE where others see distance ⭐️ WE SEE ADRENALINE where others see pressure. Join a team where we are all capable of EVERYTHING, where we all have the same opportunities, regardless of gender identity, race, religion, nationality, age, disability, training or experience. Did you like what you have read so far? Find out how you will deliver magic together with us through your Rappi mission 🧡 Check out how it will impact our ecosystem: Experimentation & Execution: Own end-to-end execution of analytical projects from ideation to execution and implementation (AB Tests) at scale. You will design, execute, track the KPIs, define data-driven recommendations, and assist product and business teams in scaling outcomes to bring the desired impact Planning: Build and track execution of quarterly plan. You will build business cases of initiatives and define quarterly OKRs. You will create and update weekly targets tracker and make sure we hit it Cross-team functional collaboration: You will partner with a vast array of cross-functional stakeholders such as regional leaders and product teams to make data-driven decisions. These teams will look to you to provide robust documentation to describe your rationale and communicate key messages clearly to inform decision making. Analytics: Learn analytics tools and provide key insights. You will be working with automation tools (mainly SQL) and improving your skills on it. You will gather insights to define the biggest opportunities to focus on and build data-visualization reports Data Visualization: Develop clear, compelling, and actionable dashboards and visual reports that translate complex datasets into intuitive insights for non-technical audiences, enabling faster and more informed decision-making As part of Rappi, you will be responsible for: Desired work experience: 2+ years Work experience as a data analyst or data scientist Background in making data-backed decisions Experience in SQL Languages: English (B2 at least) Strong sense of ownership and bias to action Good and now, what are the requirements for me to be part of this neon universe? Open to any professional paths; ideally has entrepreneurial background. Experience with experimentation, specifically A/B testing, is a plus Experience with data visualization tools is a plus. (PowerBI and/or Tableau) Python is a plus Worker type: Regular Company: Rappi Technology Colombia For more information check our website https://about.rappi.com/es and check our reviews on Glassdoor https://acortar.link/Eqm07Q we are waiting for you to build and deliver the magic together! #Rappi 🧡 Rappi is a Latin -American company and te first SuperApp in the region. It was founded in 2015 by Simón Borrero, Sebastian Mejia and Felipe Villamarin and today is present in 9 countries and more than 200 cities. We are a young Latin American team of technology entrepreneurs with a mission to drive progress in our region through our platform for digital commerce. We know the future of Latin America can be made far brighter with technology that connects people to solutions. For us, Rappi is not just a company...it's a movement for economic progress.

Responsibilities

The Data Scientist will own end-to-end execution of analytical projects, including designing and executing A/B tests, tracking KPIs, and providing data-driven recommendations. They will also collaborate with cross-functional teams to inform decision-making and develop actionable dashboards for insights.