What You’ll Do

- Develop audience targeting models using LightGBM and other machine learning techniques, including customer segmentation, propensity modeling, and look-alike modeling on large-scale datasets to enable precision marketing and improve campaign performance.

- Develop marketing measurement models, including:
- Marketing Mix Models (MMM)

- Response modeling

- Causal inference models

- Forecasting models

- Optimization models

- Build and maintain data pipelines and infrastructure required for these models.

- Apply hands-on expertise in model development and deployment in cloud environments, particularly GCP Vertex AI, leveraging statistical analysis, machine learning techniques, and a deep understanding of marketing data and platforms.

- Collaborate with the data science team to understand business goals, contribute to solution design, and support model development and implementation.

- Conduct Exploratory Data Analysis (EDA) to uncover insights, interpret patterns, and inform modeling decisions. This includes analyzing marketing performance, customer engagement, and outcome data from multiple sources.

- Manage the full lifecycle of model development — from understanding business needs and creating solutions to deployment, consumption, and value realization.

- Ensure data quality through validation and maintain integrity throughout the modeling and analysis process.

Qualifications

Required Experience

- Proven experience in developing model-based marketing measurement solutions such as:
- Marketing Mix Modeling (MMM)

- Response modeling

- Forecasting

- Scenario planning





- Optimization in a marketing context.

- Strong understanding of marketing functions, platforms, tech stacks, and data.

- In-depth knowledge of the marketing measurement landscape and current trends.

Technical Skills

- Advanced expertise in statistical analysis and machine learning.

- Proficiency in Python and common ML libraries, including:
- Scikit-Learn

- PyTorch

- Keras

- TensorFlow

- NumPy

- SciPy
- pandas

- Matplotlib

- Plotly

- Experience with gradient boosting algorithms, such as:

- XGBoost

- LightGBM

- Strong SQL skills and experience with programming languages used in data analysis and modeling.

- Familiarity with GitHub and repository management.

- Advanced Excel skills, including:

- VLOOKUP

- Pivot Tables

- Power Pivot

- VBA

Tools & Platforms

- Experience with cloud platforms, especially Google Cloud Platform (GCP).

- Experience with data tools such as Teradata.

Data & Analytical Skills

- Skilled in data transformation, cleaning, and preparation for analysis and integration.

- Strong analytical and problem-solving skills with the ability to derive actionable insights.

Soft Skills

- Excellent organizational, time management, and multitasking abilities in fast-paced environments.

- Ability to understand business problems, analyze data, and develop actionable recommendations.

- Solid data storytelling and presentation skills, able to communicate with both technical and non-technical audiences.

- Eagerness to learn new systems and concepts and share knowledge with others.

- Comfortable working with global teams across different time zones.

📌 Data Scientist(MMM & Propensity Modelling) (Noida)
🏢 Topcoder
📍 Noida