Data Science Manager - Remote Work | REF#299859

BairesDev

United States

A distancia

CLP 109.689.000 - 146.252.000

Jornada completa

Hace 13 días

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Ventajas ofrecidas por este puesto de trabajo

100% remote work
USD compensation
Home setup
Flexible hours
Parental leaves
Career development
Mentorship

Descripción de la vacante

BairesDev is seeking a Data Science Manager to lead the development and deployment of classical ML models across the business, translating data into actionable insights and guiding decisions with rigorous experiments.

You'll design models in Python with scikit-learn, build dashboards with Looker/Tableau/Mode, and collaborate with stakeholders to define KPIs while managing the full data science lifecycle remotely for global impact.

Formación

  • 4+ years of experience in Data Science, ML, or related field.
  • Proven ability to develop classical ML models using Python, SQL, and scikit-learn.
  • Strong knowledge of statistics, A/B testing and feature engineering.
  • Experience producing business-facing insights and dashboards.

Responsabilidades

  • Lead development and deployment of classical ML models to solve business problems.
  • Translate data into actionable insights guiding strategic decisions.
  • Design and conduct data experiments and KPI-driven analysis.
  • Develop dashboards communicating performance metrics to stakeholders.
  • Oversee end-to-end data science lifecycle from data collection to monitoring.

Conocimientos

Python
SQL
scikit-learn
Statistics
A/B testing
Feature engineering
English

Educación

Herramientas

Looker
Tableau
Mode

Descripción del empleo

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.

As a Data Science Manager, you will lead the development and implementation of classical machine learning models to solve complex business problems. You will translate raw data into actionable insights, ensuring that data-driven experimentation and statistical rigor guide strategic decision-making across the organization.

What You'll Do
  • Design and deploy classical machine learning models using Python and scikit-learn to drive business value.
  • Conduct advanced statistical analysis and execute A/B testing to validate product and business hypotheses.
  • Develop and maintain comprehensive dashboards using tools like Looker, Tableau, or Mode to communicate performance metrics.
  • Perform feature engineering and data transformation using SQL to optimize model performance and data quality.
  • Collaborate with stakeholders to define key performance indicators and provide data-backed strategic recommendations.
  • Manage the end-to-end data science lifecycle, from data collection and exploration to model deployment and monitoring.
What We Are Looking For
  • 4+ years of experience in Data Science, Machine Learning, or a related analytical field.
  • Proven expertise in developing classical ML models using Python, SQL, and scikit-learn.
  • Strong knowledge of statistics, A/B testing, and feature engineering techniques.
  • Experience producing business-facing insights and dashboards using Looker, Tableau, or Mode.
  • 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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