Data Scientist Multi-Touch Attribution (MTA)

As a Data Scientist specializing in Multi-Touch Attribution (MTA) based in Bangalore (with 3 days of office work), you will play a crucial role in leading our MTA modeling efforts. Your primary responsibility will be to accurately measure the impact of various marketing channels and touchpoints on user conversions and business outcomes. This will involve collaborating closely with marketing, growth, and data engineering teams to develop attribution frameworks, optimize budgets, and enhance ROI measurement. Your key responsibilities will include developing and implementing algorithmic attribution models to quantify the impact of different marketing touchpoints. You will apply statistical, probabilistic, and machine learning methods to build MTA models that incorporate both online and offline signals. Working with large-scale marketing datasets, you will analyze impressions, clicks, conversions, and engagement metrics. Additionally, you will partner with marketing teams to enhance channel efficiency and campaign planning based on attribution insights. Model validations using holdout experiments and out-of-sample testing will be conducted to ensure reliability. You will also automate model scoring and reporting pipelines to provide real-time attribution visibility. Creating intuitive dashboards and documentation to effectively communicate findings and influence strategic decisions will be part of your role. The qualifications required for this role include a minimum of 3 years of experience in data science, marketing analytics, or attribution modeling. Strong hands-on experience with Python, SQL, and relevant data science libraries is essential. In-depth knowledge of MTA techniques such as logistic regression, Shapley values, Markov chains, or time decay is preferred. A solid understanding of digital marketing channels and customer journey analytics is necessary. Experience with model validation, experimentation design, and lift analysis is a plus. Strong problem-solving and communication skills, combined with a product mindset, are crucial for success in this role.,