Manager, Media Analytics

About GALE

GALE is a pioneering Business Agency that combines business strategy with brand storytelling to increase enterprise value. Established in 2014, GALE delivers integrated marketing campaigns by leveraging expertise in strategy, media, CRM, creative, performance marketing, and technology. Recognized globally, the agency has earned titles such as AdAge’s Business Transformation Agency of the Year and Adweek’s U.S. Media Agency of the Year, with creative accolades from Cannes Lions. GALE partners with acclaimed brands including Delta, Uber, Starbucks, Chili’s, Hard Rock, MilkPEP, Diageo, Cotton, and IHG.

Operating through eight offices worldwide—New York, Toronto, Los Angeles, Austin, Denver, Kansas City, London, and Bengaluru—GALE offers a hybrid and flexible work setting.

Role Overview

We are seeking a highly experienced Data Scientist to fill the Manager, Media Analytics position requiring 8 to 10 years of expertise. The role demands advanced skills in machine learning, experience with Generative AI (GenAI) implementations, and deep knowledge in media and marketing analytics. A strong combination of analytical insight, technical proficiency, and innovative problem-solving is essential to support data-driven decision-making and the development of cutting-edge solutions.

Key Responsibilities

• Develop and deploy machine learning models tailored to business issues.
• Design, implement, and assess Generative AI models to enhance operational workflows and provide actionable insights, including staying current with developments in large language models (LLMs) and GenAI technologies.
• Analyze marketing data to uncover trends, optimize campaigns, and identify growth opportunities.
• Create attribution models, conduct campaign evaluations, and develop customer segmentation methods.
• Construct detailed dashboards and visual data presentations using tools like Tableau or Power BI.
• Communicate insights clearly to both technical and non-technical audiences.
• Manage and preprocess extensive datasets, ensuring accuracy and usability for analysis.
• Craft efficient SQL queries to extract and manipulate data from complex databases.
• Collaborate cross-functionally with marketing, product, and engineering teams to embed data-informed decision processes.
• Effectively convey technical approaches and solutions to diverse stakeholders.

Required Skills and Expertise

• Advanced proficiency in Python for data analysis, machine learning development, and deployment.
• Comprehensive understanding of machine learning algorithms and frameworks.
• Hands-on experience implementing Generative AI technologies, including knowledge of Retrieval-Augmented Generation (RAG) and Agentic AI systems.
• Extensive background in media and marketing analytics such as campaign performance measurement and attribution modeling.
• Expertise with at least one data visualization platform like Tableau, Power BI, or Looker.
• Proficient in SQL for data extraction and transformation.
• Familiarity with cloud computing environments including AWS, Azure, or Google Cloud Platform.

Preferred Qualifications

• Knowledge of experimental methodology including A/B testing, marketing mix modeling, and customer segmentation strategies.
• Understanding of natural language processing (NLP) and large language models.

Educational Requirements

A Bachelor's or Master’s degree in fields such as Data Science, Computer Science, Statistics, Mathematics, or closely related disciplines is required.

Work Environment and Inclusion

This position mandates hybrid work with presence in the Bengaluru office. GALE values inclusion and fosters a workplace culture embracing diverse perspectives and backgrounds. The company adheres to equal opportunity principles regardless of race, gender, sexual orientation, religion, national origin, disability, veteran status, or other protected categories.

Hiring Process

The recruitment involves interviews with individuals across different teams both virtually and in-person. Candidates seeking accommodations during the interview are encouraged to communicate their needs.