Work From Home Machine Learning Data Scientist / Ref. 0071E

BairesDev

Brasil

Teletrabalho

BRL 461 000 - 768 000

Tempo integral

Há 6 dias
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Vantagens oferecidas por esta oferta de emprego

Remote work
Competitive pay

Resumo da oferta

BairesDev, a leading technology partner for over 15 years, seeks a Machine Learning Data Scientist to design, develop, and deploy advanced analytical models that turn raw data into actionable insights for business decisions.

You will build end-to-end ML pipelines, perform robust data cleaning and feature engineering, and collaborate with global teams to productionize models across platforms. This 100% remote role offers competitive USD compensation and strong career growth.

Qualificações

  • 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.

Responsabilidades

  • Design end-to-end ML pipelines from data ingestion to model deployment.
  • Conduct statistical analysis and EDA to reveal data patterns.
  • Clean, preprocess, and engineer features for quality inputs.
  • Evaluate models with metrics and optimize for scalability and accuracy.
  • Collaborate with cross-functional teams to productionize predictive models.

Conhecimentos

5+ years data science
Python
Scikit-learn
Data cleaning
Statistical analysis
EDA
English

Ferramentas

scikit-learn

Descrição da oferta de emprego

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 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.
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