Job Description

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.

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.

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

Experience with cloud platforms, especially Google Cloud Platform (GCP).
Experience with data tools such as Teradata.

Skilled in data transformation, cleaning, and preparation for analysis and integration.
Strong analytical and problem-solving skills with the ability to derive actionable insights.

Excellent organizational, time management, and multitasking abilities in fast-paced environments.
Ability to understand business problems, analyze data, and develop actionable recommendations.
Strong 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)