Analyst I, Full Stack
Affirm
PythonSQL
Data Scientist
The Daily Wire
full-time
Posted on:
Location Type: Office
Location: Nashville • Tennessee • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
PythonSQL
About the role
- Design, build, and refine predictive models for subscriber engagement and retention using statistical and machine learning techniques
- Conduct deep-dive analyses on acquisition, onboarding, engagement, and churn to uncover actionable insights and improve user outcomes
- Develop segmentation frameworks to support targeted messaging, offers, and product experiences based on behavior, user type, and content preferences
- Architect and evaluate A/B and multivariate tests to measure the effectiveness of interventions and user-facing changes
- Partner with engineering teams to improve data collection, integrity, and pipeline reliability across platforms
- Automate reporting, build dashboards, and lead weekly/monthly/quarterly performance reviews with stakeholders
- Drive audience research and cohort analyses to inform product strategy and campaign design
- Advocate for data-informed decision-making across the organization, influencing product, editorial, and marketing priorities
- Stay current with industry trends and best practices in predictive modeling, experimentation, and customer analytics
Requirements
- Bachelor’s or Master’s degree in Statistics, Computer Science, Engineering, Mathematics, or a related quantitative field (or equivalent experience)
- 4+ years of experience in data science, analytics, or machine learning, preferably in a subscription-based or digital consumer business
- Demonstrated experience building and deploying predictive models (especially churn, conversion, or engagement scoring)
- Expertise in SQL and strong proficiency in Python or R
- Experience designing and interpreting experiments (A/B and multivariate), with a clear understanding of causal inference
- Familiarity with CRM tools and marketing attribution frameworks (e.g., UTM tracking, lifecycle campaigns)
- Strong communication skills and the ability to translate complex data into clear business recommendations
- Proven ability to work cross-functionally in a fast-paced environment and drive projects to completion
- A passion for uncovering patterns in data and turning them into actionable strategy
Benefits
- Health insurance options (medical through BlueCross Blue Shield; dental and vision through Guardian)
- Paid Time Off
- 401k (5% match)
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
predictive modelingstatistical techniquesmachine learningdata analysissegmentation frameworksA/B testingmultivariate testingSQLPythonR
Soft skills
communication skillscross-functional collaborationdata-informed decision-makingproject managementanalytical thinkingproblem-solvinginfluencingstakeholder engagementadaptabilitystrategic thinking
