Talantix.io
Humio•06.03.26
AI SCORE 8.5

Senior Data Scientist - GenAI Remote Position

$140K–$180K/year
RemoteAI/Big Data
Python•Machine Learning•Generative AI•SQL•AWS•Data Analysis•Cloud Technologies

About the Role

We are seeking a Senior Data Scientist - GenAI Remote to join our innovative team. In this role, you will leverage your expertise in data science and machine learning to develop cutting-edge solutions that enhance our Generative AI capabilities. As a Senior Data Scientist, you will work remotely, collaborating with cross-functional teams to drive impactful projects and contribute to our mission of delivering exceptional AI-driven products.

What You'll Do

  • Design and implement advanced machine learning models, focusing on Generative AI applications.
  • Analyze complex datasets to extract meaningful insights and drive data-informed decision-making.
  • Lead technical discussions and mentor junior data scientists, fostering a culture of continuous learning.
  • Collaborate with product managers and engineers to integrate AI solutions into our SaaS offerings.
  • Utilize cloud technologies (AWS) for scalable model deployment and optimization.

Requirements

  • 5+ years of experience as a Data Scientist, with a strong focus on Generative AI.
  • Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Solid understanding of SQL and data manipulation techniques.
  • Experience with cloud platforms, particularly AWS.
  • Strong analytical skills and ability to communicate complex concepts effectively.

Nice to Have

  • Experience with workflow automation tools like N8N or Tray.ai.
  • Familiarity with cybersecurity principles and practices.
  • Knowledge of A/B testing methodologies.

What We Offer

  • Market leader in compensation and equity awards.
  • Comprehensive wellness programs and competitive vacation policies.
  • Paid parental and adoption leaves.
  • Professional development opportunities to enhance your skills.
  • A vibrant office culture with world-class amenities, even in a remote setting.
  • Great Place to Work Certified™ globally, ensuring a supportive environment.
Why This Job8.5 of 10

This Senior Data Scientist role offers a unique opportunity to work on Generative AI projects in a fully remote environment, with competitive compensation and a strong focus on professional development.

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

Who Will Succeed Here

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Proficient in Python and experienced with libraries such as TensorFlow and PyTorch for developing machine learning models, particularly in the context of Generative AI applications.

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Self-motivated and disciplined, with a strong ability to work independently in a remote environment while managing multiple projects and deadlines effectively.

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Demonstrated expertise in cloud technologies, particularly AWS, for deploying machine learning solutions and managing data pipelines, with a mindset geared towards scalability and performance optimization.

Learning Resources

→Python for Data Science Handbookguide
→AWS Certified Machine Learning - Specialtycourse
→A Comprehensive Guide to Generative AIarticle

Career Path

Senior Data Scientist - GenAI(Now)→Lead Data Scientist(1-2 years)→Director of Data Science(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
25.3%
AI Adoption
85%
Investment in Generative AI
+150%
Labour Demand for Data Scientists
+35%
Avg Salary for Senior Data Scientists
$140K

Skills & Requirements

Required
PythonMachine LearningGenerative AI
Growing in Demand
Deep Learning Frameworks (TensorFlow, PyTorch)Natural Language Processing (NLP)Cloud Data Engineering (AWS, Azure)
Declining
Traditional Business Intelligence Tools (Tableau, Power BI)R Programming Language

Domain Trends

Rise of Generative AI Applications
The generative AI market is projected to grow at a CAGR of 34.3% through 2025, leading to increased demand for data scientists skilled in this area.
Increased Focus on Ethical AI
Over 60% of organizations are prioritizing ethical AI practices, creating a need for data scientists who can integrate fairness and transparency into AI models.
Shift to Cloud-Based Data Solutions
By 2025, 70% of all data workloads are expected to be processed in the cloud, driving demand for data scientists with expertise in cloud technologies like AWS and Azure.

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