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AI Value Partner, Customer Analytics

2 weeks ago
United States
Full-time
Junior
Data Scientist
Data Science and Analytics
Looker Machine Learning NLP NumPy Pandas Python Scikit-learn Snowflake SQL Statistics Tableau
Apply Now
Cresta

Cresta

Cresta AI provides generative AI solutions for intelligent contact centers, offering self-service, live coaching, and post-call insights. Their technology empowers sales and customer service teams to enhance customer interactions, boost revenue, and im...

Professional Services
51-250
Founded 2017
$151M raised
View All Jobs 11

Description

  • Conduct exploratory data analysis across conversational, operational, and performance datasets.
  • Translate ambiguous business questions into structured analytical problems.
  • Analyze how workflow, behavior, and product usage changes translate into business value.
  • Design and analyze A/B tests and quasi-experiments to measure Cresta’s impact.
  • Establish baselines, metrics, and measurement plans for pilots.
  • Build reusable templates and frameworks for consistent experimentation.
  • Build and maintain dashboards that track customer ROI.
  • Develop Python and SQL tools to improve repeatability, accuracy, and scalability.
  • Create standardized reporting packages for pilots, QBRs, and renewals.
  • Develop custom statistical or machine learning models such as segmentation, predictive scoring, or lightweight NLP.
  • Maintain reusable modeling pipelines for value insights and roadmap analysis.
  • Translate analyses into clear business and financial narratives and support cross-functional customer engagements.

Requirements

  • 1–3 years of experience in a data-focused role or relevant academic experience.
  • Strong proficiency in SQL and experience working with large datasets.
  • Proficiency in Python, including Pandas, NumPy, and scikit-learn.
  • Solid understanding of statistics, hypothesis testing, and experimental design.
  • Experience building dashboards in Hex, Looker, Tableau, or similar tools.
  • Strong communication skills with non-technical stakeholders.
  • Comfort working in a fast-paced, cross-functional environment.
  • Experience with conversational data such as call transcripts or chats, or text analytics, preferred.
  • Familiarity with causal inference, uplift modeling, or A/B testing frameworks, preferred.
  • Exposure to customer-facing analytics or support roles, preferred.
  • Experience with cloud data stacks such as Snowflake or Redshift, preferred.
  • Basic NLP or classification experience related to agent behavior or customer intent, preferred.

Benefits

  • Competitive, location-based base salary plus bonus and equity.
  • Comprehensive medical, dental, and vision coverage.
  • Flexible vacation time.
  • Paid parental leave.
  • Monthly gym and phone allowance.
  • Work-from-home office stipend.
  • Lunches and dinners included for in-office employees.

Interested in this position?

Apply directly on the company website

Apply Now

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