Senior Data Scientist

ServiceTitan

Remote
Base: $137,900 usd - $184,500 usd; bonus/equity: a...
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Machine learning and generative ai models
Sql and python proficiency
Pytorch, transformers, scikit-learn, xgboost/lightgbm
** ServiceTitan is seeking a Senior Data Scientist to enhance their customer onboarding process through machine learning and generative AI solutions. The position offers a supportive, innovative work environment that values continuous learning and impactful contributions. **

Job Summary

  • Lead the design, development, and deployment of advanced machine learning and generative AI models aimed at improving the efficiency and effectiveness of customer onboarding.
  • Stay up-to-date with the latest advancements in data science and AI, actively exploring and integrating cutting-edge techniques into our solutions.
  • ServiceTitan is a leading software company for the trades, and we're on a mission to help home and commercial service businesses thrive.

Matching Summary

Match Score: 75

** ServiceTitan is seeking a Senior Data Scientist to enhance their customer onboarding process through machine learning and generative AI solutions. The position offers a supportive, innovative work environment that values continuous learning and impactful contributions. **

Salary

Base: $137,900 USD - $184,500 USD; Bonus/Equity: annual bonus, equity; Benefits: holistic suite of benefits

Skills & Requirements

Must-have

  • Machine learning and generative AI models
  • SQL and Python proficiency
  • PyTorch, Transformers, scikit-learn, XGBoost/LightGBM
  • Generative AI concepts and application
  • Agentic Workflows and RAG architectures
  • LLM evaluation frameworks and guardrails
  • Statistical knowledge and experimental design
  • Azure cloud computing services

Nice-to-have

  • Proactive problem-solver
  • Staying at the forefront of data science
  • Creative problem-solving skills
  • Seamless model deployment
  • C# and .NET familiarity

Key Requirements

  • 5+ years in a data science role
  • Proven track record of production-grade solutions
  • Experience with Generative AI solutions
  • Experience building Agentic Workflows
  • Experience implementing RAG architectures
  • Familiarity with MLOps best practices
  • Expertise in LLM evaluation frameworks
  • Hands-on experience with cloud platforms (Azure preferred)
  • Excellent communication skills

Work Rights

Not specified

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