AI Superior10.03.26
AI SCORE 8.5

Senior Data Scientist - Remote AI Solutions

$120K–$150K/year

About the Role

AI Superior is seeking a talented Senior Data Scientist to join our remote team. As a leading AI agency founded in 2019, we have been at the forefront of AI development and consulting, long before the GenAI hype. Our clients range from small startups to international corporations like Boehringer Ingelheim. We support these clients from building proof of concepts to production systems, covering areas such as Data Science, Machine Learning, and general AI consulting. In this Senior Data Scientist remote role, you will have the opportunity to work with a diverse team across Europe while enjoying the flexibility of remote work.

What You'll Do

  • Structure, manage, and lead client activities, including data science and machine learning projects.
  • Mentor junior colleagues and drive technical discussions, reviewing code and technical approaches.
  • Stay updated on state-of-the-art technologies and assess their applicability to customer use cases.
  • Collaborate with the presales team to develop potential use cases and project ideas.
  • Contribute to the oversight of projects and ensure high-quality deliverables.

Requirements

  • 5+ years of industrial experience in an ML/AI-related environment.
  • MSc/Ph.D. in Mathematics, Optimization, (Electrical) Engineering, Statistics, Computer Science, Machine Learning, Physics, or a related field.
  • Strong expertise in Python and main data science libraries.
  • Experience in software development, designing, and scaling productive ML pipelines and systems.
  • Deep expertise in one of the domains: Computer Vision, NLP (including LLM-based), or Sensor Data Analysis.
  • Strong communication, writing, and presentation skills; business fluent in English.
  • Ability to work with a high degree of self-responsibility and a goal-oriented approach.

Nice to Have

  • Proven ML skills demonstrated through academic papers, a strong Kaggle profile, or open-source projects on GitHub.
  • Experience with enterprise cloud providers like AWS or OVHCloud.
  • Familiarity with neural networks (PyTorch/TensorFlow).
  • Knowledge of German is a plus.

What We Offer

  • Full-time remote position with flexible working hours.
  • Opportunities for growth within the organization and the ability to influence processes.
  • Engaging projects that lead to production.
  • Competitive salary and benefits.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Scientist role at AI Superior offers a unique opportunity to lead innovative AI projects remotely. With a competitive salary and flexible working conditions, it's an attractive position for experienced professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python and experienced with machine learning frameworks such as TensorFlow and PyTorch, enabling the development and deployment of robust AI models.

A self-motivated and disciplined individual who excels in a fully remote work environment, demonstrating exceptional time management and the ability to deliver high-quality results independently.

Deep understanding of statistical analysis and hands-on experience with NLP and computer vision projects, showcasing a strong analytical mindset and the ability to translate complex data into actionable insights.

Learning Resources

Python for Data Science Handbookguide

Career Path

Senior Data Scientist - Remote AI Solutions(Now)Lead Data Scientist or AI Solutions Architect(2-4 years)Director of Data Science or Chief Data Officer(5-7 years)

Market Overview

Market Size 2024
$60B
Annual Growth
22.5%
AI Adoption
75%
Investment
+150%
Labour Demand
+30%
Avg Salary
$130K

Skills & Requirements

Required
PythonMachine LearningData Science
Growing in Demand
Deep LearningMLOpsData Engineering
Declining
RSAS

Domain Trends

Increased Focus on Ethical AI
Companies are investing in ethical AI practices, with 40% of organizations adopting guidelines for responsible AI usage.
Rise of Automated Machine Learning (AutoML)
AutoML adoption is expected to grow by 35% in the next two years, simplifying model development and deployment for data scientists.
Integration of AI with Cloud Services
80% of enterprises are integrating AI solutions with cloud platforms like AWS and Azure to enhance scalability and accessibility.

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