Staff Data Scientist - Production ML, GenAI & Leadership

robotsandpencils

Colombia

On-site

COP 120,000,000 - 180,000,000

Full time

4 days ago
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Benefits offered by this job

Palantir experience
AWS ML certifications

Job summary

Robots & Pencils is seeking a Staff Data Scientist to own modeling for AI/ML problems and ship production-ready solutions. You will frame questions, build and validate models, and drive them into production with executive-level credibility.

You will mentor junior data scientists, set technical direction, and collaborate across client engagements with autonomy over strategy. You’ll work with data scientists, engineers, and product partners to deliver measurable business impact.

Qualifications

  • PhD or a Master’s degree with 4+ years of quantitative field experience.
  • 5+ years of professional experience in data science, statistics, and applied ML.
  • Deep proficiency in Python or R with scikit-learn and TF/PyTorch.

Responsibilities

  • Design, build, and evaluate predictive and prescriptive models across domains.
  • Apply ML, deep learning, and stats to real-world challenges.
  • Drive end-to-end ML/GenAI projects from proof of concept to production.
  • Deploy models into production with APIs, pipelines, or frameworks.
  • Lead experiments and validate hypotheses; mentor juniors to raise rigor.

Skills

5+ years data science
Python/R
scikit-learn
TensorFlow/PyTorch
Java/C++
statistical modeling
A/B testing
production deployment
Databricks
AWS SageMaker
Snowflake
Data Mesh

Education

PhD
Master's + 4 years quantitative field

Tools

Databricks
AWS SageMaker
Snowflake

Job description

Robots & Pencils is seeking a Staff Data Scientist to own modeling for AI/ML problems and ship production-ready solutions. You will frame questions, build and validate models, and drive them into production with executive-level credibility.

You will mentor junior data scientists, set technical direction, and collaborate across client engagements with autonomy over strategy. You’ll work with data scientists, engineers, and product partners to deliver measurable business impact.

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