Remote Senior Security Data Scientist (Python) - Risk

BairesDev; Colombia; Presencial; COP 381.607.000 - 572.410.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

USD compensation

Home-office setup

Flexible hours

Paid parental leave and holidays

Growth opportunities

Descripción de la vacante

BairesDev® is seeking a Senior Security Data Scientist (Python) to turn large-scale security data into actionable insights and drive risk prioritization. You will build analytical pipelines and models that inform security decisions, collaborating across teams and stages of data processing.

The role requires 5+ years of data science experience, strong Python skills, and proficiency in SQL with warehouses like Snowflake, Databricks, or BigQuery.

Formación

• 5+ years of experience in data science or quantitative analytics.
• Proficiency in Python including pandas, NumPy, and scikit-learn for analytical pipelines.
• Experience with SQL and large-data analysis on warehouses such as Snowflake, Databricks, or BigQuery.
• Familiarity with vulnerability scoring frameworks such as CVSS, EPSS, or KEV, and risk modeling.
• Advanced proficiency in English.

Responsabilidades

• Perform quantitative analytics on large-scale security data to uncover patterns and drive risk insights.
• Build analytical pipelines using Python, including statistical modeling and feature engineering.
• Query and analyze large datasets across modern data warehouses.
• Develop risk models incorporating vulnerability scoring frameworks and contextual signals.
• Communicate findings through visualization and reporting for both engineering and leadership audiences.

Conocimientos

Python

pandas

NumPy

scikit-learn

SQL

CVSS/EPSS/KEV

Herramientas

Snowflake

Databricks

BigQuery

Descripción del empleo

BairesDev® is seeking a Senior Security Data Scientist (Python) to turn large-scale security data into actionable insights and drive risk prioritization. You will build analytical pipelines and models that inform security decisions, collaborating across teams and stages of data processing.

The role requires 5+ years of data science experience, strong Python skills, and proficiency in SQL with warehouses like Snowflake, Databricks, or BigQuery.