Data Scientist, Customer & Growth Analytics

Thomson Reuters

. Design, build, and maintain predictive models supporting customer expansion including propensity-to-upgrade and engagement scoring models .

Posted 5/15/2026full-timeMinnesota, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $137,100 - $254,700 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design, build, and maintain predictive models supporting customer expansion including propensity-to-upgrade and engagement scoring models
Use behavioral, usage, firmographic, and lifecycle data to identify signals indicating readiness for AI adoption and expansion
Partner with Lifecycle Marketing to translate model outputs into actionable segments and testable hypotheses across the customer lifecycle
Collaborate with Marketing Operations to operationalize models within Customer Data Platform (Treasure Data) for activation and measurement
Develop features and datasets using product usage data, campaign engagement, learning activity, and customer attributes
Validate, monitor, and continuously improve model performance ensuring accuracy, explainability, and alignment to business outcomes
Support experimentation by defining success metrics, analyzing lift, and interpreting results for optimization decisions
Document modeling approaches, assumptions, and outputs for transparency and cross-functional understanding
Work cross-functionally with Data Engineering, Product, Customer Success, and Commercial teams to ensure data quality and aligned outcomes

Requirements

What you’ll need

3+ years of experience in data science, analytics, or applied machine learning in a B2B SaaS or subscription-based environment
Experience building predictive or classification models influencing customer growth, retention, or expansion decisions
Strong proficiency in Python or similar data science tools, including feature engineering and model evaluation
Demonstrated experience working with large, complex datasets such as product usage, behavioral logs, or campaign data
Experience partnering with Marketing, Growth, or Customer Success teams to translate insights into action
Familiarity with deploying or activating models within analytics platforms or CDPs; experience with Treasure Data or similar platforms is a plus
Strong understanding of experimentation, model validation, and measuring impact using statistical and business metrics
Ability to clearly communicate technical concepts and insights to non-technical stakeholders
Curiosity and ownership mindset with a bias toward building models that deliver measurable outcomes

Benefits

Comp & perks

Hybrid Work Model: Flexible hybrid working environment (2-3 days a week in the office depending on the role)
Flex My Way: Supportive workplace policies for managing personal and professional responsibilities
Career Development and Growth: Culture of continuous learning and skill development
Industry Competitive Benefits: Comprehensive benefit plans including flexible vacation and mental health days off
Health, Dental, Vision, Disability, and Life Insurance programs
Competitive 401k plan with company match
Paid Holidays, Parental Leave, Sabbatical Leave
Optional Hospital, Accident, and Sickness insurance
Flexible Spending Accounts and Health Savings Accounts
Employee Assistance Program
Group Legal Identity Theft Protection benefit
Adoption & Surrogacy Assistance
Tuition Reimbursement
Access to Employee Stock Purchase Plan

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

predictive modelingclassification modelsdata sciencemachine learningfeature engineeringmodel evaluationdata analysisstatistical metricsmodel validationcustomer segmentation

Soft Skills

communicationcollaborationcuriosityownership mindsetanalytical thinkingproblem-solvingcross-functional teamworktransparencyadaptabilityaction-oriented