Machine Learning Data Scientist - Remote work | REF#305913

BairesDev; Distrito Capital; Remote; VES 79,156,000 - 149,516,000; Full time

Benefits offered by this job

Remote work (100% from anywhere)

Competitive USD salary or local option

Flexible hours

Hardware and software setup for home

Job summary

BairesDev is seeking a Machine Learning Data Scientist to design, develop, and deploy advanced analytical models that translate raw data into actionable insights. You will drive data-informed decisions and enhance predictive capabilities across the organization.

You will build end-to-end ML pipelines, perform robust data cleaning and feature engineering, and collaborate with cross-functional teams to deploy models into production.

Qualifications

• 5+ years of experience in Data Science or ML
• Advanced proficiency in Python and ML libraries
• Strong data cleaning and exploratory data analysis skills
• Experience deploying ML models in production
• Excellent written and spoken English

Responsibilities

• Design end-to-end machine learning pipelines from data ingestion to model deployment
• Conduct statistical analyses and EDA to uncover data patterns
• Perform data cleaning, preprocessing, and feature engineering
• Evaluate models with appropriate metrics and optimize for scalability
• Collaborate with cross-functional teams to integrate models into production systems

Skills

Data science expertise

Statistical analysis

EDA

Model deployment

English proficiency

Tools

Python

scikit-learn

Pandas

NumPy

Job description

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Machine Learning Data Scientist at BairesDev

As a Machine Learning Data Scientist, you will design, develop, and deploy advanced analytical models to solve complex business problems. You will translate raw data into actionable insights, driving data-informed decision-making and enhancing predictive capabilities across the organization.

What You'll Do

• Design and implement end-to-end machine learning pipelines from data ingestion to model deployment.
• Conduct thorough statistical analysis and exploratory data analysis to uncover underlying data patterns.
• Perform robust data cleaning, preprocessing, and feature engineering to ensure high-quality inputs for modeling.
• Evaluate model performance using appropriate metrics and continuously optimize algorithms for scalability and accuracy.
• Collaborate with cross-functional teams to integrate predictive models into production systems and business workflows.

What We Are Looking For

• 5+ years of experience in Data Science, Machine Learning, or a related quantitative field.
• Proven expertise in developing, testing, and deploying machine learning models.
• Advanced proficiency in programming with Python and utilizing the scikit-learn ecosystem.
• Strong background in data cleaning, statistical analysis, and exploratory data analysis.
• Advanced proficiency in English.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!

#BD-PRIO-2026