PitchMeAI Jobs
Monks

Ssr. Data Scientist

Monks · Buenos Aires

Posted about 3 months ago

or apply directly on Monks's site. We never take the application ourselves.

Is this posting real?

This role has been open
103 days
Monks's roles stay open a median of 102 days
Reposted
No
Salary listed
No
1% of Monks's roles list one
Ghost-job risk at Monks
high
362 stale, 18 reposted of 362 open
Hiring momentum
125 roles opened in the last 90 days
↓ down vs. the prior 90 days
Last confirmed on the employer's board
2026-11-14

Measured from postings appearing on and disappearing from Monks's own greenhouse board since 2026-08-03. Full hiring picture for Monks.

About this role

The Ssr. Data Scientist will develop and maintain data infrastructure and visualization layers for digital marketing, collaborating with Analytics, Data Science, and Solutions Engineering teams. Responsibilities include building data ingestion pipelines, designing BigQuery warehouse layers, developing transformation logic, and creating dashboards to measure media performance. The role also involves client collaboration to enhance understanding of data-driven strategies and providing consultative support for integrating internal data sources.

Our read on this posting2.2out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Monks as an employer.

What you need

  • Educational background in Computer Systems, Mathematics, Statistics, Physics, or related fields
  • Proven experience articulating, translating, and solving business problems through data and analytics engineering
  • Work experience with GCP (Google Cloud Platform), specifically BigQuery, Cloud Composer/Airflow, and GCP security/access controls
  • 2+ years of experience in data engineering, analytics engineering, or data warehousing
  • Experience extracting data from media platform APIs (Google Ads, Meta, TikTok, LinkedIn, etc.)
  • Proficiency in SQL and python data ecosystem for data manipulation and transformation

Nice to have

  • A set of certifications or work experience in other cloud vendors (AWS, Microsoft Azure)
  • Hands-on experience with cloud orchestration tooling and infrastructure-as-code (e.g., Terraform)
  • Hands-on experience building scalable ETL/ELT pipelines (dbt, Apache Beam, Airflow, Cloud Composer, Cloud Functions, Pub/Sub)
  • Familiarity with Marketing Mix Modeling (MMM) frameworks (such as Meridian) and incrementality/geo-testing methodologies
  • Ability to explain complex analytical methods and data architecture to non-technical stakeholders to drive data-driven decision making

Worth weighing

  • No salary listed
  • Role involves both backend data engineering and frontend visualization, which may require a broad skill set
  • Emphasis on collaboration and client interaction may appeal to those who enjoy consultative roles

Summarised from Monks's posting. Read the full original.

Listed by Monks on their greenhouse job board, last confirmed open on 2026-11-14. PitchMeAI is not the employer.

More roles at Monks

All 362 open roles at Monks →