Talantix.io
Ladders•10.03.26
AI SCORE 8.5

Principal Data Scientist - Remote Position

$163K–$303K/year
RemoteAI/Big Data
Python•Machine Learning•AWS•Azure•GCP•Data Pipelines•Distributed Systems

About the Role

We are seeking a Principal Data Scientist to join our team in a fully remote capacity. As a Principal Data Scientist remote position, you will play a pivotal role in delivering impactful outcomes for customers and stakeholders in the Consumer Technology space. This role offers significant visibility, growth opportunities, and the chance to make a real impact in a rapidly evolving field.

What You'll Do

  • Select, build, and optimize machine learning models using advanced techniques.
  • Utilize big data technologies on cloud platforms for scalable solutions.
  • Independently design and develop proof-of-concept projects from ideation to delivery.
  • Create applications powered by large language models for advanced automation.
  • Build and maintain automated data pipelines and performance tracking systems.
  • Collaborate with software engineers in an agile environment to deliver features.
  • Conduct analyses and present findings to both technical and non-technical stakeholders.

Requirements

  • Bachelor's degree with 12 years of experience in data science or an advanced degree with 5 years of relevant experience.
  • Expertise in writing production-grade machine learning models in Python.
  • Deep knowledge of distributed systems and scalability architecture.
  • Proven track record of executing organization-wide technical initiatives.
  • Experience with cloud platforms like AWS, Azure, or GCP.
  • Ability to communicate complex data science concepts to non-technical audiences.
  • Self-motivated, detail-oriented, and capable of thriving in a collaborative environment.

Nice to Have

  • Experience with advanced analytics and data visualization tools.
  • Familiarity with DevOps practices in data science.
  • Knowledge of data governance and compliance frameworks.

What We Offer

  • Medical, dental, and vision insurance.
  • Life and disability insurance.
  • 401(k) match.
  • Career development opportunities.
  • Employee perks that support personal and family health.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

Why This Job8.5 of 10

This Principal Data Scientist role offers a unique opportunity to work remotely while leading impactful projects in the Consumer Technology sector. With a competitive salary range and excellent benefits, it's a great fit for experienced professionals.

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

Who Will Succeed Here

→

Proficient in building and optimizing data pipelines using technologies such as Apache Kafka and Apache Airflow, demonstrating the ability to handle large-scale data sets and distributed systems effectively.

→

Strong familiarity with cloud platforms like AWS, Azure, and GCP, showcasing a hands-on approach to deploying machine learning models in production environments, especially in remote team settings.

→

A strategic thinker with a growth mindset, capable of leading complex data science projects while continuously adapting to new technologies and methodologies, ensuring the delivery of high-quality solutions.

Learning Resources

→Python Data Science Handbookguide
→Machine Learning with Python: From Linear Models to Deep Learningcourse
→Building Data Pipelines with Pythoncourse

Career Path

Principal Data Scientist(Now)→Director of Data Science(2-4 years)→Chief Data Officer(5-7 years)

Market Overview

Market Size 2024
$27.2B
Annual Growth
22.5%
AI Adoption in Data Science
74%
Investment in AI and Data Analytics
+35%
Labour Demand for Data Scientists
+36%
Avg Salary for Principal Data Scientist
$155K

Skills & Requirements

Required
PythonMachine LearningAWS
Growing in Demand
Deep LearningNatural Language Processing (NLP)Data Visualization (e.g., Tableau, Power BI)
Declining
R ProgrammingHadoop

Domain Trends

Increased Automation in Data Processing
By 2025, 60% of data science tasks will be automated, reducing time spent on data cleaning and preparation.
Rise of No-Code/Low-Code Platforms
The adoption of no-code platforms for data science is expected to grow by 150% in the next two years, enabling non-technical users to perform data analysis.
Focus on Ethical AI and Bias Mitigation
By 2024, 80% of organizations will prioritize ethical AI practices, with 50% investing in tools to mitigate bias in machine learning models.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.