📌 Core Information
🔹 Job Title: Associate Director, Marketing Sciences
🔹 Company: Horizon Media
🔹 Location: New York, United States
🔹 Job Type: Full-Time, Hybrid
🔹 Category: Marketing
🔹 Date Posted: April 10, 2025
🔹 Experience Level: Mid-Level (2-5 years)
🔹 Remote Status: On-site/Hybrid
🚀 Job Overview
Key aspects of this role include:
- Acting as a central figure in data, media, and brand strategy
- Generating insights to inform audience strategy and performance analysis
- Working with big data and applying advanced statistics and machine learning techniques
- Collaborating with the Data Solutions team and client teams
- Embedding within the Business Solutions team and reporting to the SVP, Marketing Sciences, blu
ASSUMPTION: This role requires a strong analytical mindset, proficiency in data manipulation, and the ability to translate complex data insights into actionable strategies.
📋 Key Responsibilities
✅ Understanding and usage of blu. structured and unstructured data (10%)
- Basic/Advanced Dimensions & Metrics (people-based, behavioral, and media data)
- Understanding relationships/connections across datasets
- Knowledge of data dictionaries and taxonomies of structured data sets
✅ Generating insights using advanced static techniques and custom audience building (30%)
- ETL and EDA processes
- Descriptive and exploratory statistics to understand audience/consumer behavior
- ML modeling to predict business outcomes
- Off-the-shelf and custom audience creation using atom-level data
- Database querying
- Writing scripts for insight generation automation
- Refinements of propensity and look-alike techniques
✅ Optimization (60%)
- ETL and EDA processes
- Data transformation/mining and generation of insights to explain audience performance and inform optimization
- Data join process between blu audiences, media exposure, and conversion events to build feedback loops
- Analysis of audience conversion to KPIs
- Model creation to estimate contribution of attributes driving conversion
- Validation of models used during the audience building process
- Assessment of audience duplication and incrementality by channel, partner, or tactic
- User/log-level data extraction from delivery sources to create new audiences based on exposure to manage frequency
- Database querying to extract exposure events and create a new audience based on exposure by paid media channel (digital or linear)
ASSUMPTION: This role requires a strong analytical mindset, proficiency in data manipulation, and the ability to translate complex data insights into actionable strategies.
🎯 Required Qualifications
Education: BS/BA degree required
Experience: 3+ years of relevant experience
Required Skills:
- Expert knowledge of SQL, Python, and R
- Working knowledge of big and basic data mining routines
- Solid understanding of data technology integrations across data sources and ecosystems, and troubleshooting
Preferred Skills:
- Advanced Statistics
- Knowledge of GitHub
- Machine Learning experience
- Experience working with digital analytics and audience insights reporting (Campaign Manager/GA/Adobe/GA360)
ASSUMPTION: A strong background in data analysis, statistics, and programming languages is crucial for success in this role.
💰 Compensation & Benefits
Salary Range: $125,000.00 - $165,000.00 per year
Benefits:
- Health Insurance Coverage
- Life Insurance
- Disability Insurance
- Retirement Savings Plans
- Company Paid Holidays
- Unlimited Paid Time Off
- Mental Health Resources
- Wellness Resources
- Pet Insurance
- Childcare Resources
- Identity Theft Insurance
- Fertility Assistance Programs
- Fitness Reimbursement
Working Hours: Full-time, typically 40 hours per week
ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles and experience levels. The actual base salary may vary based on individual skills, experience, and qualifications.
📌 Applicant Insights
🔍 Company Context
Industry: Advertising Services
Company Size: Large (1,001-5,000 employees)
Founded: 1989
Company Description:
- Horizon Media is a leader in driving business-based outcomes for marketers
- Founded in 1989, headquartered in New York, with offices in Los Angeles and Toronto
- Recognized as one of the world’s ten most innovative marketing and advertising companies by Fast Company
- Consistently named Media Agency of the Year and one of the best places to work
- Committed to diversity, equity, and inclusion
Company Specialties:
- Sports and Entertainment
- Social Media
- Media Buying
- Direct Marketing
- Social Design
- Social Buying
- Insights & Analytics
- Virtual/Augmented Reality
- SEO
- Mobile
- National & Local TV Investment
- Audio Investment
- Creative Services
Company Website: www.horizonmedia.com
ASSUMPTION: Horizon Media is a well-established and respected company in the advertising industry, known for its innovative approach and commitment to diversity and inclusion.
📊 Role Analysis
Career Level: Mid-Level (2-5 years of experience)
Reporting Structure: Reports directly to the SVP, Marketing Sciences, blu
Work Arrangement: Hybrid (on-site and remote work)
Growth Opportunities:
- Potential to work on various client teams and projects
- Opportunities to develop skills in advanced statistics, machine learning, and data analysis
- Possibility to progress to senior roles within the Marketing Sciences or related teams
ASSUMPTION: This role offers opportunities for professional growth and development within a dynamic and innovative company.
🌍 Location & Work Environment
Office Type: Hybrid (onsite and remote work)
Office Location(s): New York, Los Angeles, Toronto
Geographic Context:
- New York: A major global city with a vibrant advertising industry
- Los Angeles: A hub for entertainment and media industries
- Toronto: A multicultural city with a growing tech and advertising scene
Work Schedule: Full-time, typically 40 hours per week, with flexibility for remote work
ASSUMPTION: The hybrid work arrangement offers a balance between on-site collaboration and remote flexibility, allowing employees to work from various office locations or remotely.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with the hiring manager
- In-depth technical assessment or case study
- Final on-site or video interview with the team
Key Assessment Areas:
- Technical skills in data analysis, statistics, and programming languages
- Problem-solving abilities and analytical mindset
- Communication and presentation skills
- Cultural fit and alignment with company values
Application Tips:
- Highlight relevant experience and skills in data analysis, statistics, and programming languages
- Tailor your resume and cover letter to emphasize your fit for this specific role
- Prepare for technical assessments or case studies by brushing up on your data analysis skills
- Research Horizon Media's company culture and values to demonstrate your cultural fit
ATS Keywords: Data Analysis, Statistics, Python, R, SQL, Machine Learning, Marketing Sciences, Audience Strategy, Performance Analysis
ASSUMPTION: The application process for this role is likely to be competitive, and candidates should be prepared to demonstrate their technical skills and cultural fit.
🛠️ Tools & Technologies
- SQL
- Python
- R
- Machine Learning libraries (e.g., scikit-learn, TensorFlow)
- Data visualization tools (e.g., Tableau, Power BI)
- ETL tools (e.g., Talend, Pentaho)
- Database management systems (e.g., MySQL, PostgreSQL)
ASSUMPTION: Proficiency in SQL, Python, and R is essential for this role, as well as familiarity with data visualization and ETL tools.
👔 Cultural Fit Considerations
Company Values:
- Innovation
- Collaboration
- Integrity
- Diversity, Equity, and Inclusion
- Accountability
Work Style:
- Data-driven and analytical
- Collaborative and team-oriented
- Adaptable and open to feedback
- Results-focused and proactive
Self-Assessment Questions:
- How do you approach working with large datasets and complex data structures?
- Can you provide an example of a time when you had to collaborate with a team to solve a complex data problem?
- How do you stay up-to-date with the latest trends and tools in data analysis and marketing sciences?
ASSUMPTION: Candidates should be able to demonstrate their alignment with Horizon Media's values and work style, as well as their ability to thrive in a data-driven and collaborative environment.
⚠️ Potential Challenges
- Working with large and complex datasets may require significant time and effort
- Keeping up with the latest trends and tools in data analysis and marketing sciences can be challenging
- Balancing on-site and remote work may require strong time management and communication skills
- Collaborating with various client teams and stakeholders may present unique challenges and demands
ASSUMPTION: These challenges can be overcome with strong technical skills, adaptability, and effective communication and collaboration.
📈 Similar Roles Comparison
- Compared to other Marketing Sciences roles, this position places a greater emphasis on advanced statistics and machine learning techniques
- Horizon Media's focus on innovation and data-driven decision-making sets it apart from other advertising agencies
- Career progression in this role may involve moving into senior roles within Marketing Sciences or related teams
ASSUMPTION: This role offers unique opportunities for professional growth and development within a dynamic and innovative company.
📝 Sample Projects
- Developing a predictive model to estimate the impact of marketing campaigns on sales
- Analyzing customer data to identify trends and insights to inform audience strategy
- Optimizing marketing campaign performance by analyzing audience conversion data and identifying opportunities for improvement
ASSUMPTION: These sample projects illustrate the types of data analysis and marketing sciences tasks that candidates can expect to perform in this role.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and how this role fits within the organization?
- How does Horizon Media support the professional development and growth of its employees?
- Can you provide an example of a time when the company's data-driven approach led to significant business outcomes?
- How does the company foster a culture of diversity, equity, and inclusion?
- What are the biggest challenges facing the Marketing Sciences team currently, and how can this role contribute to addressing them?
ASSUMPTION: Asking these questions demonstrates your interest in the role and the company, as well as your ability to think critically about the position and its fit with your career goals.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant experience and skills in data analysis, statistics, and programming languages
- Prepare for technical assessments or case studies by brushing up on your data analysis skills
- Research Horizon Media's company culture and values to demonstrate your cultural fit
- Follow up with the hiring manager one week after submitting your application to express your continued interest in the role
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
