```html Data Scientist | Enthenti Careers

Enthenti

Data Scientist

Build AI models that shape enterprise decisions across Fortune 500 clients

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About the Position

You will design and implement machine learning models that solve complex business problems for enterprise clients across industries. Your work will directly impact Fortune 500 operations and decision-making systems.

Location

San Francisco / Remote

Position Type

Full-time

Department

Data Science

Key Facts

  • Remote-friendly
  • Flexible hours
  • $110k - $150k Base

Overview

As a Data Scientist at Enthenti, you will develop and optimize machine learning models that power our intelligent decision systems for enterprise clients. You'll collaborate with our engineering team to translate business problems into AI solutions that drive real-world impact.

Key Responsibilities

  • Design and implement machine learning models for real-time fraud detection systems
  • Collaborate with data engineers to preprocess and analyze terascale datasets
  • Optimize model performance for accuracy, speed, and business impact
  • Present results to executives with clear data visualizations and insights

Qualifications

  • Ph.D. in Machine Learning, AI, or equivalent professional experience
  • 5+ years of enterprise AI deployment experience solving mission-critical problems
  • Expertise in TensorFlow/PyTorch for deep learning applications
  • Strong Python/C++ skills with experience in large-scale systems

What We Offer

  • Comprehensive health, dental, and vision benefits
  • 10% annual bonus + 401(k) matching up to 5.5%
  • 20 days of paid time off (PTO) plus 12 weeks of parental leave
  • Access to latest AI research and GPU clusters for development
Apply Now

Why Enthenti?

You'll shape AI solutions that redefine how Fortune 500 companies make decisions. Our science-first culture empowers you to experiment with bleeding-edge techniques like foundation model adaptation and reinforcement learning for business outcomes.

Impact

Your models will directly improve financial forecasting accuracy by 30% on average for clients in energy, finance, and healthcare industries.

Development

Annual $5000 research budget for AI conferences, online courses, and GPU compute usage.

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