Senior Data Scientist

hace 4 semanas


Monterrey, Nuevo León, México Bairesdev A tiempo completo

We're looking for a Senior Data Scientist to join our team at BairesDev. With over 15 years of experience in delivering cutting-edge technology projects, we've built a diverse team of the world's top 1% of tech talent.

Becoming a Machine Learning Engineer at BairesDev means being part of a global team where your unique talents can truly thrive. You'll be working remotely from anywhere and enjoying flexible hours, excellent compensation, and hardware and software setup for your home office.

Job Description

In this role, you will use data and machine learning techniques to help the business automate and scale decision-making by producing advanced data analysis reports and data-based models to infer and predict patterns.

  • Help improve data literacy and the overall analytical environment across the company.
  • Handle both structured and unstructured data using SQL and other programming languages.
  • Perform advanced data analysis and report results.
  • Tell the story behind data in a compelling manner for business people.
  • Build predictive models and machine-learning algorithms.
  • Combine models through ensemble modeling.
  • Propose solutions and strategies to business challenges.
  • Help design and execute experiments for hypothesis testing.
  • Participate actively in discussions and decisions regarding the whole Machine Learning / Data Science chapter.

You will collaborate with data product managers to build awesome data products and work with management to prioritize business and information needs.

Requirements

To succeed in this role, you'll need:

  • 3+ years of experience with Machine Learning, data science, IA, statistical, and other related areas.
  • Proficiency with MySQL.
  • Proficiency in Python, R, or another major programming language.
  • Excellent communication skills, and capacity to collaborate and build relationships with non-technical users.
  • Strong knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference.
  • Hands-on experience with machine learning, like regression classification, clustering, neural networks, feature selection, cross-validation, the curse of dimensionality, bias-variance tradeoff, model explainability, NLP, etc.

A salary of around $120,000-$180,000 per year is estimated based on industry standards, location, and requirements.

Benefits

Becoming a part of our team also comes with numerous benefits:

  • 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.

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