Machine Learning Data Scientist - Remote work | REF#305916

BairesDev

Chile

Remote

CLP 88,322,000 - 117,763,000

Full time

10 days ago

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Benefits offered by this job

100% remote work
Competitive USD compensation
Home office setup
Flexible hours
Paid parental leaves

Job summary

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

You will design end-to-end ML pipelines, conduct thorough data analysis, and collaborate with cross-functional teams to integrate models into production systems.

Qualifications

  • 5+ years of experience in Data Science, Machine Learning, or a related quantitative field.
  • Proven ability to develop, test and deploy ML models.
  • Advanced Python and scikit-learn expertise.
  • Strong data cleaning, statistical analysis and exploratory data analysis.
  • Excellent English communication skills.

Responsibilities

  • Design and implement end-to-end ML pipelines from data ingestion to deployment.
  • Perform statistical analysis and exploratory data analysis to uncover data patterns.
  • Clean, preprocess and engineer features for modeling.
  • Evaluate model performance and optimize algorithms for scalability and accuracy.
  • Collaborate with cross-functional teams to productionize predictive models.

Skills

Python
Data Cleaning
Statistical analysis
Exploratory data analysis
English proficiency

Tools

scikit-learn

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!

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