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Data Scientist - Remote

Posted 6 weeks ago
Data Analysis
Full Time
Worldwide

Overview

As a Data Scientist at VML, you will be part of a team that is at the forefront of AI innovation, working with multimodal datasets to develop cutting-edge solutions for clients.

In Short

  • Join a global team focused on AI and data science.
  • Work on next-generation AI tools and solutions.
  • Collaborate with top talent in a supportive environment.
  • Develop algorithms for complex client problems.
  • Analyze large datasets for insights.
  • Stay updated with AI research trends.
  • Communicate effectively with stakeholders.
  • Flexible working hours and remote options.
  • Competitive salary based on experience.
  • Focus on impactful projects and social change.

Requirements

  • Experience in machine learning and algorithms.
  • Track record of deploying machine learning models.
  • Experience with structured and unstructured data.
  • Knowledge of deep learning for computer vision or NLP.
  • Proficiency in Python programming.
  • Familiarity with Git and collaboration.
  • Strong communication skills.

Benefits

  • Annual development budget for skills enhancement.
  • Health and life insurance benefits.
  • Remote working options.
  • Focus on social and environmental impact.
  • Flexible working hours.
  • Generous leave policy.
  • Open and transparent culture.
  • Annual bonus based on company performance.
VML Enterprise Solutions logo

VML Enterprise Solutions

VML Enterprise Solutions is a dynamic and innovative company that operates at the intersection of creativity, technology, and consultancy. Formed from the merger of VMLY&R and Wunderman Thompson, VML is a global leader with over 30,000 employees across 150+ offices in 64 markets. The company specializes in delivering comprehensive solutions that enhance the entire customer journey, leveraging deep expertise in communications, commerce, data, and technology. VML fosters a culture of connection and belonging, valuing diverse perspectives to drive revolutionary work and meaningful experiences for clients and consumers alike.

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