Data Scientist - Latin America - Remote

Azumo; Buenos Aires; Teletrabalho; USD 60.000 - 90.000; Tempo integral

Resumo da oferta

Azumo is seeking a highly motivated Data Scientist to enhance their analytics infrastructure. This fully remote role requires expertise in Python and advanced machine learning methodologies. Successful candidates will collaborate with a talented team to drive innovative projects and contribute to the company's growth while enjoying a range of professional development benefits.

Serviços

Paid time off (PTO)

U.S. Holidays

Training

Udemy free Premium access

Mentored career development

Free English Courses

Profit Sharing

$US Remuneration

Qualificações

• 5+ years of experience in Python for production projects.
• Proficiency in advanced ML techniques such as CNNs and Transformers.
• Experience with supervised and unsupervised anomaly detection.

Responsabilidades

• Develop and deploy machine learning models for anomaly detection.
• Collaborate with data scientists on big data analytics.
• Utilize libraries such as pandas, numpy, and scikit-learn.

Conhecimentos

Python

Machine Learning

Deep Learning

Statistical Analysis

Agile Methodologies

Formação académica

Degree or master's in computer science, data science, or a related field

Ferramentas

PyTorch

pandas

numpy

scikit-learn

JIRA

Descrição da oferta de emprego

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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 [e-mail]

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

  Other

• Industries

  IT Services and IT Consulting

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