Data Scientist, Advanced Analytics

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist, Advanced Analytics Santiago de Chile 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

Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.