Data Scientist

COL-Bogotá

Rappi

Pide en línea domicilio de restaurantes, supermercado, medicamentos y ¡mucho más! Tus tiendas favoritas están en Rappi. Entregamos con amor en todo México ♥♥

View company page

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, race, sexual orientation, 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:

The Data Scientist role involves understanding business objectives, collaborating cross-functionally, and analyzing data to drive strategic decisions. Proficiency in SQL, Python or R, and data visualization tools is required. Strong problem-solving and communication skills are essential. Experience with containerization tools, cloud platforms, and Apache Airflow is desirable. A Bachelor's degree in a quantitative field is preferred.

As part of Rappi, you will be responsible for:

  • Understand business objectives and provide actionable insights and recommendations to support business strategies.

  • Collaborate with cross-functional teams to identify and address business challenges.

  • Collect, clean, and process data from various sources.

  • Explore and analyze large datasets to identify opportunities.

  • Conduct statistical analysis and hypothesis testing to draw meaningful conclusions.

  • Create data visualizations to communicate insights effectively to stakeholders.

  • Build and maintain data pipelines to ensure the efficient and reliable flow of data across the organization.

  • Design and develop data services and APIs 

  • Deploy and maintain services into production environments.

  • Collaborate with software engineers to integrate models into business applications.

  • Actively participate in meetings with clients and stakeholders.

Good and now, what are the requirements for me to be part of this neon universe?

  • Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Engineering).

  • Experience with data manipulation and analysis using SQL.

  • Experience with data visualization tools.

  • Knowledge of statistical analysis, hypothesis testing, and experimental design.

  • Strong problem-solving skills and the ability to work with large, messy datasets.

  • Effective communication and collaboration skills to work with cross-functional teams and explain complex findings to non-technical stakeholders.

  • Proficiency in programming languages such as Python or R.

  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.

  • Knowledge of cloud platforms (AWS) for hosting and managing data services.

  • Experience with building and maintaining data pipelines using Apache Airflow

  • Experience in designing and developing data services and APIs

  • Collaboration skills to work closely with software engineers and other stakeholders to define API requirements and ensure seamless integration.

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 with great anxiety and sparkle in our eyes to deliver magic together! #Rappi 🧡

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow APIs AWS Computer Science Data pipelines Data visualization Docker Engineering Kubernetes Mathematics Pipelines Python R SQL Statistics Testing

Region: South America
Country: Colombia
Job stats:  14  2  0
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.