GALE is the world’s first and only Business Agency. We bring business strategy to brand storytelling to drive enterprise value. With expertise in strategy, media, CRM, creative, performance marketing, and technology, GALE creates integrated marketing systems and campaigns that grow businesses in significant ways. Founded in 2014, the agency has since been named AdAge’s Business Transformation Agency of the Year and Adweek’s U.S. Media Agency of the Year and has been recognized for its innovative creative at the Cannes Lions.
We work with brands such as Delta, Uber, Starbucks, Chili’s, Hard Rock, MilkPEP, Diageo, Cotton, IHG and more. If you’re driven by a passion to build something great, a desire to innovate, and a commitment to achieve excellence in your craft, GALE is a great place for you!
GALE has eight offices around the world, including New York, Toronto, Los Angeles, Austin, Denver, Kansas City, London, and Bengaluru. GALE embraces a hybrid, flexible workplace
Manager, Media Analytics
Experience Required: 8 – 10 years
We are seeking a highly skilled and experienced Data Scientist to join our team. The ideal candidate will have a strong background in machine learning, experience in implementing Generative AI (GenAI) solutions, and expertise in media and marketing analytics. This role requires a blend of analytical, technical, and problem-solving skills to drive data-driven decision-making and innovative solutions.
Key Responsibilities:
- Machine Learning & AI Implementation
- Develop and deploy machine learning models to address business challenges.
- Design, implement, and evaluate GenAI models to optimize workflows and generate actionable insights. Keep up to date with the key developments in the area of LLMs and GenAI
- Media & Marketing Analytics
- Analyze and interpret marketing performance data to identify trends, opportunities, and areas for improvement.
- Build attribution models, campaign analysis, and customer segmentation strategies.
- Data Analysis & Visualization
- Create insightful dashboards and visualizations using tools like Tableau, Power BI, or similar.
- Present data-driven insights to technical and non-technical stakeholders.
- Data Processing & Management
- Work with large datasets to preprocess, clean, and transform data for analysis.
- Write optimized SQL queries to extract and manipulate data from databases.
- Collaboration & Stakeholder Management
- Collaborate with cross-functional teams, including marketing, product, and engineering, to drive data-centric decision-making.
- Communicate technical solutions effectively to non-technical stakeholders.
Mandatory Skills:
- Proficiency in Python for data analysis, machine learning, and model deployment.
- Strong understanding of Machine Learning algorithms and frameworks.
- Experience with Generative AI (GenAI) implementation and tools. Knowledge and hands-on experience with RAG and Agentic AI.
- Hands-on expertise in media/marketing analytics (e.g., campaign performance, attribution modeling).
- Proficiency in one or more data visualization tools (e.g., Tableau, Power BI, Looker).
- Working knowledge of SQL for data extraction and manipulation.
- Familiarity with cloud platforms like AWS, Azure, or GCP.
Preferred Skills:
- Knowledge of A/B testing, marketing mix modeling, and customer segmentation techniques.
- Understanding of NLP and large language models.
Educational Qualifications:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Note: Hybrid work in office is an essential function of the job.
Our Commitment to Inclusion
We believe in inclusivity and do our best work when people with diverse perspectives, backgrounds, and skills are brought together. Our Core Values are at the root of GALE’s collaborative environment and help to foster a strong community. Our Code of Conduct, Human Resources policies, and executive investment in inclusion further support and protect GALE’s inclusive workplace. GALE is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
Our Hiring Process
We want you to be just as discerning in making your next career move as we are finding great talent to join our team. Our interview process will allow you to meet a range of people from various disciplines and domains both virtually and in person. Please discuss with our recruiters if you require any accommodations throughout the process to help enable a smooth interview.
