Senior Data Scientist

Jobtailor; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor in Atlanta, GA, seeks a senior data science professional to optimize HBO Max's media investments and drive subscriber growth. You will build and refine media mix models, attribution methods, and optimization algorithms across markets, delivering clear, executive-ready analyses and recommendations.

You will collaborate with Marketing, Analytics, Finance, Engineering, and cross-functional teams, deliver end-to-end analytical projects, and explore AI-enabled approaches to improve

Qualifications

• BA/BS in business analytics, statistics, mathematics, economics, industrial engineering, or another quantitative discipline is required.
• 4+ years of experience building data science/statistical models, including multivariate regression, Markov Chain Model, and Time Series Model.
• 1+ years of experience in Media Mix Modeling and Multi Touch Attribution Modeling.
• Expertise in linear and non-linear optimization (Local/Global) approaches.
• Expertise in SQL and R and/or Python.
• Hands-on experience with Databricks for large-scale data processing, analytics, model development, and production workflows.
• Proficiency with AI-assisted development tools such as Cursor and Claude Code, including coding agents and large language models.
• Strong understanding of generative AI and agentic AI capabilities.
• Experience customizing optimization algorithms.
• Experience designing and evaluating experimental/incrementality tests.
• Knowledge of media and advertising, including display, digital, and paid search.
• Strong curiosity, leadership, and business acumen.
• Passion for using data to drive strategy and product recommendations.
• Strong interpersonal skills and ability to motivate, collaborate, and influence.
• Ability to deliver on multiple projects and meet tight deadlines.
• Ability to adapt rapidly in a fast-moving environment with shifting priorities.
• Ability to influence and communicate cross-functionally at all levels.
• Exceptional verbal and written communication skills.
• Strong presentation skills.
• Experience in subscription-based businesses or eCommerce preferred.
• Experience building RShiny applications, and experience with ADH (Ads Data Hub) and BigQuery, are a plus.

Responsibilities

• Support HBO Max Marketing in understanding and optimizing media investment impact on subscriber growth, engagement, revenue, and long-term value across markets
• Lead development, maintenance, and refinement of Media Mix Models, attribution and incrementality approaches, and optimization solutions
• Perform analysis and modeling to measure marketing campaigns and make recommendations
• Analyze media spend, investment, return, and performance
• Lead development of data frameworks and analytical approaches
• Develop and refine market mix and attribution models using advanced statistical models
• Build optimization algorithms to optimize media spend and maximize subscriber growth and revenue
• Synthesize analytics and statistical approaches into clear visual and verbal storylines for executive audiences
• Present media effectiveness and performance drivers to business partners and senior executives and craft action plans
• Collaborate with Marketing, Media Strategy, Analytics, Finance, Engineering, and other cross-functional partners
• Own complex analytical projects end-to-end
• Evaluate emerging statistical, machine learning, and AI approaches to improve team workflows and decision-making

Skills

Media Mix Modeling

Multi Touch Attribution Modeling

SQL

R

Python

AI-assisted development

Optimization algorithms

Experimental testing

Data analysis

Leadership

Education

BA/BS in business analytics, statistics, mathematics, economics, industrial engineering, or another quantitative discipline

Tools

Databricks

Cursor

Claude Code

RShiny

BigQuery

Ads Data Hub

Job description

• Support HBO Max Marketing in understanding and optimizing media investment impact on subscriber growth, engagement, revenue, and long-term value across markets
• Lead development, maintenance, and refinement of Media Mix Models, attribution and incrementality approaches, and optimization solutions
• Perform analysis and modeling to measure marketing campaigns and make recommendations
• Analyze media spend, investment, return, and performance
• Lead development of data frameworks and analytical approaches
• Develop and refine market mix and attribution models using advanced statistical models
• Build optimization algorithms to optimize media spend and maximize subscriber growth and revenue
• Synthesize analytics and statistical approaches into clear visual and verbal storylines for executive audiences
• Present media effectiveness and performance drivers to business partners and senior executives and craft action plans
• Collaborate with Marketing, Media Strategy, Analytics, Finance, Engineering, and other cross-functional partners
• Own complex analytical projects end-to-end
• Evaluate emerging statistical, machine learning, and AI approaches to improve team workflows and decision-making

Requirements

• BA/BS in business analytics, statistics, mathematics, economics, industrial engineering, or another quantitative discipline is required
• 4+ years of experience building data science/statistical models, including multivariate regression, Markov Chain Model, and Time Series Model
• 1+ years of experience in Media Mix Modeling and Multi Touch Attribution Modeling
• Expertise in linear and non-linear optimization (Local/Global) approaches
• Expertise in SQL and R and/or Python
• Hands-on experience with Databricks for large-scale data processing, analytics, model development, and production workflows
• Proficiency with AI-assisted development tools such as Cursor and Claude Code, including coding agents and large language models
• Strong understanding of generative AI and agentic AI capabilities
• Experience customizing optimization algorithms
• Experience designing and evaluating experimental/incrementality tests
• Knowledge of media and advertising, including display, digital, and paid search
• Strong curiosity, leadership, and business acumen
• Passion for using data to drive strategy and product recommendations
• Strong interpersonal skills and ability to motivate, collaborate, and influence
• Ability to deliver on multiple projects and meet tight deadlines
• Ability to adapt rapidly in a fast-moving environment with shifting priorities
• Ability to influence and communicate cross-functionally at all levels
• Exceptional verbal and written communication skills
• Strong presentation skills
• Experience in subscription-based businesses or eCommerce preferred
• Experience building RShiny applications, and experience with ADH (Ads Data Hub) and BigQuery, are a plus

Core Competencies

Demonstrates expertise in Media Mix Modeling, Multi Touch Attribution Modeling, and advanced statistical analysis to optimize media investment and drive subscriber growth. Proficient in SQL, R, and Python, with a strong understanding of AI-assisted development tools and optimization algorithms.

Highest-signal resume keywords

• Media Mix Modeling
• Multi Touch Attribution Modeling
• SQL
• R
• Python

ATS Optimization Keywords

Hard Skills

• Statistical Modeling
• Multivariate Regression
• Markov Chain Model
• Time Series Model
• Linear Optimization
• Non-Linear Optimization
• Optimization Algorithms
• Experimental Testing
• Data Analysis
• Data Framework Development

Soft Skills

• Leadership
• Interpersonal Skills
• Collaboration
• Communication
• Curiosity

Industry Keywords

• Media
• Advertising
• Digital Marketing
• Subscription-Based Business
• ECommerce

Tools & Technologies

• Databricks
• Cursor
• Claude Code
• RShiny
• BigQuery
• Ads Data Hub