Jobgether10.03.26
AI SCORE 8.5

Remote Principal Data Scientist - Lead Machine Learning Initiatives

$120K–$150K/year

About the Role

We are seeking a Remote Principal Data Scientist to join our innovative team. In this pivotal role, you will lead the design and deployment of machine learning models focused on customer behavior, driving insights that influence product decisions and ensuring data-driven strategies are at the forefront of our client’s business initiatives.

What You'll Do

  • Lead the design, development, and deployment of ML models predicting customer behaviors such as churn and lifetime value.
  • Build behavioral segmentation frameworks and uplift models for product and marketing strategies.
  • Drive product insights using causal inference and experimentation techniques.
  • Own analytics for key initiatives, defining success metrics and guiding experimentation.
  • Establish statistical models that elucidate the impact of marketing strategies.
  • Collaborate with cross-functional teams to ensure data model scalability and operational workflows.
  • Provide technical mentorship and elevate best practices within the analytics team.

Requirements

  • 9+ years of experience in data science or advanced analytics, preferably in SaaS or AdTech environments.
  • Proven knowledge of predictive modeling and customer behavior analytics.
  • Experience with causal inference techniques and experimentation frameworks.
  • Strong SQL and Python skills with hands-on experience in production-grade ML models.
  • Ability to define metrics and shape product strategy in partnership with product teams.
  • Excellent data storytelling skills, able to communicate complex ideas clearly.
  • Experience navigating ambiguous problem spaces to drive long-term strategies.

Nice to Have

  • Experience with cloud platforms (AWS, Azure).
  • Familiarity with big data technologies (Hadoop, Spark).
  • Knowledge of data visualization tools (Tableau, Power BI).

What We Offer

  • Competitive salary and equity packages.
  • Comprehensive medical, dental, and vision plans with significant employer contributions.
  • Access to mortgage concierge services for personalized homebuying assistance.
  • Short and long-term disability benefits at no cost.
  • 401K Plan options including Pre-tax and Roth.
  • 4 weeks paid time off to promote work/life balance.
  • Generous paid family leave policies.
  • Opportunities to participate in community volunteer efforts.
Why This Job8.5 of 10

This Remote Principal Data Scientist role offers a unique opportunity to lead impactful machine learning projects with competitive compensation and comprehensive benefits.

Salary Range
Required
0/1
Optional
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Bonus
0/1

About Jobgether

Explore Jobgether careers in 2026 and discover a wide range of job openings, including remote, hybrid, and office roles. Our platform offers advanced filters, application tracking, and valuable company insights to enhance your job search experience. Uncover exciting career opportunities at Jobgether and take the next step towards your dream role today. Join us and shape your future in 2026.

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficiency in Python and SQL for developing machine learning models, with a strong understanding of libraries such as TensorFlow and scikit-learn to create robust predictive models.

A self-motivated and disciplined work ethic suitable for remote work, capable of managing time effectively and leading cross-functional teams without direct supervision.

A strategic mindset with experience in causal inference techniques and data storytelling, enabling the candidate to translate complex data insights into actionable business strategies.

Learning Resources

Python for Data Science Handbookguide

Career Path

Remote Principal Data Scientist(Now)Director of Data Science(1-2 years)Chief Data Officer(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
22.5%
AI Adoption
75%
Investment
+50%
Labour Demand
+30%
Avg Salary
$150K

Skills & Requirements

Required
Predictive ModelingCausal InferenceData Storytelling
Growing in Demand
Deep LearningNatural Language ProcessingBig Data Technologies
Declining
R ProgrammingSAS

Domain Trends

Increased Adoption of Automated Machine Learning (AutoML)
Over 60% of organizations are now utilizing AutoML tools to streamline model development, reducing time-to-market by nearly 40%.
Focus on Ethical AI and Responsible Data Practices
Around 65% of data science teams are prioritizing ethical considerations, with 50% implementing frameworks for responsible AI use.
Integration of AI with IoT for Predictive Analytics
The market for AI-driven IoT solutions is expected to grow by 30% by 2025, with predictive analytics becoming a key driver for operational efficiency.

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