Remote Data Scientist (Spark) – Big Data & ML

BairesDev; United States; Remote; MXN 1,676,000 - 2,421,000; Full time

Benefits offered by this job

Remote work

Competitive USD-based compensation

Hardware provided

Flexible hours

Job summary

BairesDev is seeking a Data Scientist (Spark) to tackle business problems on datasets too large for a single machine, moving from exploration to impactful models.

In this role you will analyze big data, build predictive models in Python, and collaborate with engineers to deploy and monitor them in production.

Join a 100% remote, globally distributed team with flexible hours, generous USD-based compensation, home-office gear, mentorship, and ample growth opportunities.

Qualifications

• 4+ years of experience in data science.
• Proven expertise developing analytical and machine learning models in Python.
• Hands-on experience processing large datasets with Apache Spark.
• Solid understanding of statistics, machine learning algorithms, and SQL.
• Advanced proficiency in English.

Responsibilities

• Explore and analyze large datasets to uncover patterns and opportunities.
• Build predictive models and validate them with sound statistical methods.
• Engineer features from raw data using distributed processing.
• Translate findings into clear recommendations for business audiences.
• Collaborate with engineers to deploy and monitor models in production.
• Document experiments and results so work can be reproduced.

Skills

Data science

Python

Machine learning

SQL

English proficiency

Tools

Apache Spark

Job description

BairesDev is seeking a Data Scientist (Spark) to tackle business problems on datasets too large for a single machine, moving from exploration to impactful models.

In this role you will analyze big data, build predictive models in Python, and collaborate with engineers to deploy and monitor them in production.

Join a 100% remote, globally distributed team with flexible hours, generous USD-based compensation, home-office gear, mentorship, and ample growth opportunities.