Cabify

DataScientist,AdvancedAnalytics

$32000–48000k ~AI est. Santiago, Santiago Metropolitan, Chile Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Scientist, Advanced Analytics at Cabify. Skills: Data Science, Advanced Analytics, SQL, Tableau. Exploit large-scale data warehouses performing highly efficient SQL. Create dashboards and reports using Tableau / PowerBI”

What You'll Achieve.

Monitor KPIs regularly; Guide business and product decisions

Industry & Context.

Problems you'll solve

Exploratory analysis; Data-driven decisions

What They're Looking For.

Must Have

2+ years of working experience as a Data Scientist or Data Analyst, Proficient in writing and understanding complex SQL, Working with large data sets, Graduate degree in Business Administration, Economics, Engineering, Statistics, or related fields, Fluency in English and Spanish

Nice to Have

Master's degree in Business Analytics, Business Intelligence, or related, Product Analytics experience with Amplitude, Datadog, Mixpanel, or similar

What You'll Do.

Exploit large-scale data warehouses performing highly efficient SQL

Create dashboards and reports using Tableau / PowerBI

Communicate results and monitor KPIs regularly

Generate and execute ideas for exploratory analysis

Shape future projects

Provide recommendations for actions

Present findings to team members and senior management

Guide business and product decisions

Work closely with engineers to define needed data

Request creation of new app events

Request 3rd party integrations

Design data granularity

Design how data models relate to existing models

Develop Data Sources to use across the organization

Empower business by exploring data in a trusted

How You'll Work.

Team & Collaboration

Multidisciplinary teams; Product teams; Engineering teams; Growth teams; Operations teams; Analytics groups

Communication Scope

Present findings; Guide decisions

Process & Methodology

Agile methodologies

Full Job Description

Do you want to change the world? At Cabify, that’s what we’re doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we’ve still got a long way to go, fancy joining us? About the position: As a Data Scientist, Advanced and Product Analytics, you'll be part of an exceptional team of over 30 SQL and data visualization specialists. Our Data Science, Advanced Analytics department is organized around 11 problem spaces and 5 groups of countries that mirror the structure of the entire company, ensuring that every decision we make at Cabify is data-driven. In your day-to-day role, you'll work with multidisciplinary teams and disciplines such as Product, Engineering, Growth, and Operations. We also follow agile methodologies within each analytics group and foster an environment of knowledge and resource sharing among the department. Our Data teams include an eclectic bunch of awesome and diverse people from different backgrounds who come together as collaborative and inclusive teams to push boundaries. Having a diverse and inclusive work environment is important for us. That’s why we like to count on different points of view in our team that help us to solve problems in a better way. If you're passionate about managing large volumes of data, you'll be delighted to know we leverage two different data warehouses, Google BigQuery and Amazon Redshift, to perform intensive analysis thus maximizing operational efficiency. We take pride in working with one of the largest Tableau Server platforms in Europe, where we share not only powerful analysis and visualizations but also Self Service Data Sources, making data accessible to the entire company. You will: Exploit large-scale data warehouses performing highly efficient SQL. Create dashboards and reports using Tableau / PowerBI at state-of-the-art to communi

Free ATS check

Applying for this Data Scientist, Advanced Analytics role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Greenhouse

  • Create a Greenhouse profile before applying — it saves time across multiple applications.
  • Upload your resume as a PDF; the parser handles it better than Word.
  • Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
  • Enable email notifications to track application status in real time.

ANONYMOUS · UNFILTERED

What do employees actually say about Cabify?

Real rants from real employees. Read before you apply.

Read Company Rants →