Staff Data Scientist

Santa Clara, California

Harnham
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Staff Data Scientist - Transform Work Travel with AI & Machine Learning

$200,000 to $230,000 base salary

Fully remote (The company is SF based)

Are you ready to shape the future of work travel? We're a fast-growing, well-funded travel technology company that's redefining how businesses and teams experience travel. Our cutting-edge platform simplifies booking, billing, and trip modifications, creating a seamless experience backed by AI-driven insights.

The Role:

As a Senior Data Scientist, you'll drive the development and optimization of key machine learning models and data-driven strategies. Your work will directly impact business decisions, product enhancements, and customer experiences.

Responsibilities:
  • Develop and implement ML models for lead scoring, churn prediction, pricing optimization, personalization, and fraud detection.
  • Collaborate with engineering and business teams to turn insights into actionable strategies.
  • Lead end-to-end data science projects, from data collection to model deployment and monitoring.
  • Work alongside data infrastructure and analytics teams to enhance data capabilities.
  • Clearly communicate technical findings to non-technical stakeholders.
What they are looking for:
  • 5+ years of industry experience in data science or machine learning engineering.
  • Strong expertise in ML algorithms, statistical modeling, Python (scikit-learn, numpy, pandas), and SQL. Experience with Snowflake and Streamlit is a plus.
  • MS/PhD in Mathematics, Statistics, Operations Research, Economics, Engineering, or Computer Science.
  • Problem-solving mindset with a focus on simple, effective solutions.
  • Ability to thrive in a fast-paced, high-growth environment.
What they Offer:
  • Competitive compensation, including salary, bonuses, and equity opportunities.
  • A hybrid/remote-friendly work environment with resources tailored for success.
  • Comprehensive benefits and a strong culture of innovation and collaboration.
Date Posted: 29 April 2025
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