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Data Scientist - Latin America - Remote

Azumo

Buenos Aires

Teletrabalho

USD 60.000 - 100.000

Tempo integral

Ontem
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Resumo da oferta

An innovative software development firm is seeking a highly motivated Data Scientist to enhance data and analytics infrastructure. This fully remote position offers the chance to collaborate with talented data scientists in big data analytics. Ideal candidates will have a strong background in Python, machine learning, and deep learning techniques, particularly with CNNs and Transformers. You will develop and deploy advanced algorithms while utilizing tools like PyTorch, pandas, and scikit-learn. If you are passionate about leveraging data to drive insightful decisions and are eager for professional growth, this opportunity is perfect for you.

Serviços

Paid time off (PTO)
U.S. Holidays
Training
Udemy free Premium access
Mentored career development
Free English Courses
Profit Sharing
USD Remuneration

Qualificações

  • 5+ years of experience in Python for production projects.
  • Proficiency in machine learning and deep learning techniques.
  • Strong foundation in descriptive statistics.

Responsabilidades

  • Develop and deploy anomaly detection algorithms.
  • Collaborate with cross-functional teams on data analytics.
  • Utilize big data tools and cloud platforms effectively.

Conhecimentos

Python
Machine Learning
Deep Learning
Statistical Analysis
Agile Methodologies
Communication Skills

Formação académica

Degree in Computer Science
Master's in Data Science

Ferramentas

PyTorch
pandas
numpy
scikit-learn
JIRA
AWS/GCP
Spark
PlantUML

Descrição da oferta de emprego

Azumo is currently looking for a highly motivated Data Scientist to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America.

This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics. If you have a passion for designing and implementing advanced machine learning and deep learning models, this role is perfect for you. We are seeking a skilled Data Scientist with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and experience working with PyTorch.

Your responsibilities will include developing and deploying supervised and unsupervised anomaly detection algorithms, utilizing libraries such as pandas, numpy, and scikit-learn. Familiarity with agile methodologies, scrum ceremonies, and JIRA is a plus, along with a strong foundation in descriptive statistics. Excellent English communication skills are essential for collaborating with cross-functional teams. Additionally, any experience with cloud platforms (AWS/GCP), big data tools like Spark, and visualization tools such as PlantUML will be highly valued in this role.

At Azumo we strive for excellence and strongly believe in professional and personal growth. We want each individual to be successful and pledge to help each achieve their goals while at Azumo and beyond. Challenging ourselves and learning new technologies is at the core of what we do. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge.

Based in San Francisco, California, Azumo is an innovative software development firm helping organizations make insightful decisions using the latest technologies in data, cloud and mobility. We combine expertise in strategy, data science, application development and design to drive digital transformation initiatives for companies of all sizes.

If you are qualified for the opportunity and looking for a challenge please apply online at https://azumo.workable.com or connect with us at people@azumo.co

Requirements

The Data Scientist will be based remotely. Compensation commensurate with experience and candidate potential.

Basic Qualifications:

  • Degree or master's in computer science, data science, or a related field
  • 5+ years of experience in Python for production projects
  • Proficiency in machine learning and deep learning techniques (e.g., CNNs, Transformers)
  • Experience with PyTorch
  • Expertise in supervised and unsupervised anomaly detection
  • Mastery of pandas, numpy, and scikit-learn
  • Agile methodologies, scrum ceremonies, and JIRA experience
  • Foundation in descriptive statistics
  • Excellent English communication skills


Preferred Qualifications:

  • Familiarity with PlantUML or equivalent documentation tools
  • Experience with cloud platforms (AWS/GCP)
  • Experience with big data tools like Spark
  • Experience working with LLM Models


Benefits

  • Paid time off (PTO)
  • U.S. Holidays
  • Training
  • Udemy free Premium access
  • Mentored career development
  • Free English Courses
  • Profit Sharing
  • $US Remuneration

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    IT Services and IT Consulting

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