Remote Otter LogoRemoteOtter

Data Scientist - Remote

Posted 70 weeks ago
Data Analysis
Full Time
LATAM
Data Science
Machine Learning
Deep Learning
Python
PyTorch
Anomaly Detection
Pandas
Numpy
Scikit-learn
Agile
AWS
GCP
Spark
PlantUML

Overview

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.

In Short

  • Collaborate with a dynamic team of data scientists.
  • Design and implement advanced machine learning and deep learning models.
  • Develop and deploy anomaly detection algorithms.
  • Utilize libraries such as pandas, numpy, and scikit-learn.
  • Familiarity with agile methodologies and JIRA is a plus.
  • Excellent English communication skills are essential.
  • Experience with cloud platforms (AWS/GCP) is valued.
  • Knowledge of big data tools like Spark is a plus.
  • Engage in professional and personal growth initiatives.
  • Contribute to philanthropy and open source initiatives.

Requirements

  • Expertise in Python for production-level projects.
  • Proficiency in machine learning and deep learning techniques.
  • Experience with PyTorch.
  • Strong foundation in descriptive statistics.
  • Ability to work collaboratively with cross-functional teams.

Benefits

  • Opportunity for professional and personal growth.
  • Engagement in community service and philanthropy.
  • Work in an innovative software development firm.
  • Be part of a team that values learning new technologies.
Azumo logo

Azumo

Azumo is an innovative software development firm based in San Francisco, California, specializing in helping organizations make insightful decisions through the latest technologies in data, cloud, and mobility. The company combines expertise in strategy, data science, application development, and design to drive digital transformation initiatives for businesses of all sizes. Azumo is committed to professional and personal growth, striving for excellence and encouraging its team members to challenge themselves and learn new technologies.

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