AI-First Data Scientist for Enterprise AI

Valence

New York (NY)

On-site

USD 120,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Health insurance

Job summary

Valence in New York is seeking an experienced Data Analytics Lead to shape how data informs product, sales, and go-to-market decisions. You will uncover user behavior patterns, operational performance insights, and commercial opportunities—laying the foundation for a scalable, insight-driven data culture across the organization.

You'll collaborate with leaders across Product, Engineering, Sales, and Customer Success to ensure we’re making the smartest possible decisions from day one, while

Qualifications

  • 5+ years of data analytics experience in a B2B SaaS or AI startup context.
  • ],
  • job_responsibilities_description

Responsibilities

  • Analyze platform usage and surface actionable insights.
  • Identify friction points across key user journeys.
  • Support rigorous A/B testing and assess AI model impact.
  • Develop self-serve dashboards and recurring reports for teams.
  • Translate complex data into clear stories for technical and non-technical stakeholders.
  • Define tracking requirements with Product and Engineering to ensure accurate data collection.
  • Improve data processes to boost quality, efficiency and trust in analytics.

Skills

SQL
Python
BI Tools
Data Visualization
A/B Testing
Data Warehousing
Communication
Stakeholder Mgmt
Startup Experience

Education

Bachelor's degree in a quantitative field

Tools

Tableau
Looker
Power BI
Mixpanel
Amplitude
AWS
GCP

Job description

Valence in New York is seeking an experienced Data Analytics Lead to shape how data informs product, sales, and go-to-market decisions. You will uncover user behavior patterns, operational performance insights, and commercial opportunities—laying the foundation for a scalable, insight-driven data culture across the organization.

You'll collaborate with leaders across Product, Engineering, Sales, and Customer Success to ensure we’re making the smartest possible decisions from day one, while

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