The Daily Wire
Join to apply for the
Data Scientist
role at
The Daily Wire Join to apply for the
Data Scientist
role at
The Daily Wire Get AI-powered advice on this job and more exclusive features. The Daily Wire is seeking a Data Scientist to join our growing Analytics & Data Science team and lead predictive modeling efforts that drive the growth of our subscription business.
In this cross-functional role, youll design and own data science solutions that enhance subscriber engagement, reduce churn, and uncover new growth opportunities. You'll collaborate closely with teams across Product, Engineering, CRM, Marketing, Design, and Finance to deliver actionable insights and scalable models that inform decisions at every stage of the subscriber journeyfrom acquisition through renewal.
This is a highly visible position with the opportunity to directly influence strategic decisions and shape the future of how we grow and retain our audience.
Primary Responsibilities
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
Experience & Requirements
Bachelors or Masters 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)
To learn more about Daily Wire, please visit the following Daily Wire Facebook and YouTube page links:
Daily Wire
Daily Wire Facebook
Daily Wire YouTube
Daily Wire X
PragerU
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Industries
Media Production Referrals increase your chances of interviewing at The Daily Wire by 2x Get notified about new Data Scientist jobs in
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Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Data Scientist
role at
The Daily Wire Join to apply for the
Data Scientist
role at
The Daily Wire Get AI-powered advice on this job and more exclusive features. The Daily Wire is seeking a Data Scientist to join our growing Analytics & Data Science team and lead predictive modeling efforts that drive the growth of our subscription business.
In this cross-functional role, youll design and own data science solutions that enhance subscriber engagement, reduce churn, and uncover new growth opportunities. You'll collaborate closely with teams across Product, Engineering, CRM, Marketing, Design, and Finance to deliver actionable insights and scalable models that inform decisions at every stage of the subscriber journeyfrom acquisition through renewal.
This is a highly visible position with the opportunity to directly influence strategic decisions and shape the future of how we grow and retain our audience.
Primary Responsibilities
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
Experience & Requirements
Bachelors or Masters 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)
To learn more about Daily Wire, please visit the following Daily Wire Facebook and YouTube page links:
Daily Wire
Daily Wire Facebook
Daily Wire YouTube
Daily Wire X
PragerU
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Industries
Media Production Referrals increase your chances of interviewing at The Daily Wire by 2x Get notified about new Data Scientist jobs in
Nashville, TN . Nashville Metropolitan Area $90,000.00-$130,000.00 1 month ago La Vergne, TN $95,000.00-$120,000.00 2 days ago Associate Artificial Intelligence Engineer
La Vergne, TN $83,000.00-$105,000.00 1 week ago Data Scientist, Molecular Physiology and Biophysics
AI/ML Engineer-W2 Contract-Local to Nashville, TN (USC/GC Only)
Data Scientist, Transportation Network Planning
AI Solutions Engineer Build AI That Powers the Future of Healthcare
Sr. Data Scientist, Aftersales Parts Pricing
Generative AI Research Engineer, College of Connected Computing
Junior Generative AI Research Engineer Connected Computing
Mid-Level Data Scientist, Molecular Physiology and Biophysics
Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr