Senior AI Leader — GenAI, Lead Gen & Personalization

Fractal

United States

On-site

USD 170,000 - 220,000

Full time

14 days+

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Benefits offered by this job

Health, dental, and vision insurance
401(k) Plan
Paid holidays and Parental Leave
Flexible PTO policy

Job summary

A leading strategic AI partner in the United States is seeking a Principal Data Scientist to lead efforts in leveraging Generative AI and advanced analytics. This role requires deep expertise in machine learning and a track record in deploying AI/ML solutions for lead generation. You'll guide cross-functional teams to enhance customer acquisition and personalization strategies. Ideal candidates have over 10 years of experience in data science, including leadership, and strong skills in Python and SQL. A competitive compensation range of $170,000 - $220,000 is offered, along with comprehensive benefits.

Qualifications

  • 10+ years of experience in data science, with at least 3 years in a leadership role.
  • Proven track record in deploying AI/ML solutions for lead generation.
  • Strong understanding of marketing funnels and customer lifecycle analytics.

Responsibilities

  • Lead AI-driven initiatives focused on lead generation and personalization.
  • Translate business goals into data science strategies.
  • Mentor junior data scientists.

Skills

Machine learning
Advanced analytics
AI-driven strategies
Python
SQL
Data visualization

Education

Master’s or Ph.D. in Computer Science, Data Science, Statistics, or related field

Tools

TensorFlow
PyTorch
Scikit-learn
Salesforce
HubSpot
Tableau
Power BI

Job description

A leading strategic AI partner in the United States is seeking a Principal Data Scientist to lead efforts in leveraging Generative AI and advanced analytics. This role requires deep expertise in machine learning and a track record in deploying AI/ML solutions for lead generation. You'll guide cross-functional teams to enhance customer acquisition and personalization strategies. Ideal candidates have over 10 years of experience in data science, including leadership, and strong skills in Python and SQL. A competitive compensation range of $170,000 - $220,000 is offered, along with comprehensive benefits.
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