Job highlights

- 5-10 years in Data Science with expertise in Python, SQL, machine learning, A/B testing, and large-scale data analysis
- Lead data science projects, develop predictive models, analyze user engagement and retention, design experiments, and collaborate with cross-functional teams

Lead Data Scientist (Growth & Performance Marketing) We are looking for a Lead Data Scientist (Growth & Performance Marketing) to join our team and help elevate our marketing analytics and attribution practice. This role will provide senior leadership in building sophisticated marketing measurement systems, establishing methodological rigor for growth analytics, and coaching our data science team to deliver high-impact solutions that optimize customer acquisition and lifetime value. You have robust opinions about what world-class marketing attribution looks like and are passionate about driving efficient growth.

You will work across marketing, finance, and product teams and have a keen sense of how to connect marketing investments to business outcomes and customer value.

Responsibilities

Set the roadmap and model best practices for marketing and growth sciences.

Lead the development of unified marketing measurement approaches combining Marketing Mix Modeling (MMM), Multi-touch Attribution (MTA), and incrementality testing

Partner with marketing leadership and C-Suite to optimize marketing spend allocation and Return on Ad Spend (RoAS)

Establish and evangelize methodological standards for marketing measurement and causal inference

Build frameworks for Customer Lifetime Value (CLV) modeling and customer acquisition cost (CAC) optimization

Coach and mentor data scientists on advanced attribution techniques and marketing analytics

Develop and maintain marketing attribution models using tools like Robyn and custom solutions





Lead geo-experimentation and matched market testing initiatives

Build self-service dashboards and tools for marketing performance monitoring

Collaborate with finance on budgeting and forecasting models

Champion data-driven decision making in growth strategy and channel optimization

Represent the data science team in marketing strategy and budget planning discussions Key Qualifications:

10+ years of professional experience in data science/analytics with demonstrated proficiency in Python, SQL, or R and statistical modeling

3+ years of experience leading marketing analytics or growth data science teams

Deep expertise in marketing attribution methodologies (MMM, MTA, incrementality testing)

Excitement to leverage the latest LLM tools to improve workflows and efficiency.

Strong experience with Bayesian methods for hierarchical modeling and ridge regression

Proven track record of building and deploying marketing measurement systems at scale

Experience with customer lifetime value modeling and cohort-based forecasting

Deep experience in building robust data models for marketing analytics

Experience mentoring data scientists on marketing analytics best practices

Excellent communication skills with ability to translate complex attribution insights to marketing teams

Strong business acumen with ability to connect marketing metrics to financial outcomes

Nice-to-have:

Experience in media/streaming industry with understanding of subscription business models

Knowledge of time-series forecasting and predictive modeling for demand planning

Experience with propensity modeling and customer segmentation

Familiarity with privacy-preserving measurement techniques (differential privacy, data clean rooms)

Background in econometric modeling and quasi-experimental methods

Experience with survey design and analysis for brand lift and market research

Knowledge of modern martech stack integration and CDP platforms

📌 Lead Data Scientist (Growth & Performance Marketing) (Lucknow)
🏢 Sdlc Technologies
📍 Lucknow