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Data Scientist - Remote

Posted 6 days ago
Data Analysis
Full Time
Worldwide

Overview

As a Data Scientist at Pythian, you will leverage your expertise in data analysis, machine learning, and statistical modeling to deliver insights and build predictive models, working on both internal IP development and client projects.

In Short

  • Work remotely from anywhere in the US or Canada.
  • Collect, clean, and analyze large datasets.
  • Develop and implement machine learning models.
  • Fine-tune pre-trained models for specific use cases.
  • Collaborate with cross-functional teams.
  • Communicate results effectively to stakeholders.
  • Stay current with developments in data science and AI.
  • Develop and maintain internal IP around advanced analytics.

Requirements

  • Bachelor's or Master’s degree in a related field; Ph.D. is a plus.
  • 3+ years of experience in data science or machine learning.
  • Proficiency in Python or R and data science libraries.
  • Hands-on experience with pre-trained models and deep learning frameworks.
  • Strong understanding of statistical analysis and machine learning algorithms.
  • Experience with databases and cloud platforms.
  • Excellent communication skills.
  • Client-facing project experience is a plus.

Benefits

  • Competitive total rewards package with an annual bonus.
  • Substantial training allowance for professional development.
  • Work remotely with no daily travel requirement.
  • All necessary equipment provided for remote work.
  • Opportunities for community engagement and volunteering.
Pythian logo

Pythian

Pythian is a leading provider of managed database and application infrastructure services, dedicated to delivering comprehensive support to a diverse range of customers. With a focus on database administration, Pythian's team is committed to designing, implementing, and managing database solutions tailored to client needs. The company emphasizes best practices in operational processes and offers a collaborative work environment that includes opportunities for professional development and flexible working arrangements.

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