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Mid-Level Data Scientist - Remote

Posted Yesterday
Data Analysis
Full Time
USA
$105,000 - $145,000/year

Overview

As a Mid-Level Data Scientist at Altela, you will drive data-driven decisions by analyzing complex datasets and building predictive models to enhance product strategy and development.

In Short

  • Join a mission-driven team focused on revolutionizing water treatment solutions.
  • Analyze complex datasets to extract insights for product decisions.
  • Build predictive models and machine learning algorithms.
  • Collaborate with product and engineering teams.
  • 2-4 years of data science experience required.
  • Proficiency in Python and data science libraries.
  • Experience with deep learning frameworks preferred.
  • Background in A/B testing and experimentation is a plus.
  • Flexible working arrangements and remote work stipend offered.
  • Comprehensive benefits package included.

Requirements

  • Minimum 2-4 years of data science experience.
  • Strong portfolio demonstrating data science skills.
  • Proficiency in Python and libraries like pandas and scikit-learn.
  • Experience with machine learning and predictive modeling.
  • Ability to collaborate effectively with cross-functional teams.

Benefits

  • Flexible working arrangements.
  • Comprehensive healthcare coverage.
  • Professional development budget.
  • Remote work stipend.
  • Supportive work environment for career growth.

Altela

Altela

Altela is a forward-thinking technology company specializing in cloud operations and DevOps solutions. With a focus on automation and system reliability, Altela empowers its team of skilled engineers to optimize infrastructure provisioning and deployment processes. The company values innovation and offers a collaborative environment where professionals can thrive, leveraging cutting-edge tools and practices such as Infrastructure as Code, CI/CD pipelines, and containerization. Altela is committed to providing competitive benefits, including health insurance, paid time off, and opportunities for professional development, while fostering a culture of continuous improvement and excellence.

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