Senior Data Scientist

Job Description : - Senior Data Scientist (Brand Power)

About the Role

Senior Data Scientist

About the Team

HEINEKEN’s

Key Responsibilities

 End-to-End Data Product Ownership

Design and manage full-stack data science solutions from ingestion and transformation (ETL/ELT) through deployment and monitoring. Partner with marketing, product, and business stakeholders to align analytics with brand objectives and consumer insights. Translate ambiguous requirements into actionable data science tasks with measurable business impact.

 Advanced Analytics & Machine Learning

Develop and deploy ML models for predictive analytics, segmentation, personalization, recommendation systems, and time-series forecasting. Integrate brand performance metrics (awareness, consideration, trial, repeat purchase, market share) into ML pipelines. Apply cutting-edge techniques (Bayesian methods, reinforcement learning, optimization/metaheuristics) when needed.

 Brand Power & Market Insights

Build models that enhance customer journey mapping and improve product experience across channels. Develop insights into consumer sentiment, brand health, and market reach using structured and unstructured data. Monitor KPIs tied to brand strength such as brand awareness, customer loyalty, NPS, and sales uplift. Partner with marketing to design data-driven campaigns that strengthen brand equity.

 Software Engineering & DevOps

Follow OOP principles in Python with clean, maintainable code. Implement CI/CD pipelines and orchestration (Kubernetes) for scalable ML operations. Manage cost and performance across cloud environments (Azure preferred, AWS/GCP acceptable).

 Visualization & Storytelling

Build brand-performance dashboards and data apps (Streamlit, Power BI, Plotly Dash) for executives and marketing teams. Present actionable insights in compelling, easy-to-understand formats tailored to brand, sales, and product stakeholders.

Qualifications

 Education

BE/BTech/MS in Data Science, Computer Science, Statistics, AI, or related fields.

 Experience

10+ years in data science, with at least 3–4 years in senior or leadership roles delivering end-to-end data products.

 Technical Skills

Strong Python (OOP, design patterns, NumPy, pandas, scikit-learn, TensorFlow/PyTorch). Cloud experience (Azure preferred, AWS/GCP acceptable). Experience with real-time data streaming (Kafka/Spark Streaming) and large-scale processing (Spark/Dask). Proficiency with version control (Git), CI/CD, and ML deployment pipelines.

 Domain & Brand Power Skills

Strong knowledge of brand health metrics, customer/product experience analytics, and marketing mix models. Deep understanding of consumer behavior, product reach, and

market performance KPIs. Proven track record of applying data science to brand and business growth strategies.

 Soft Skills

Excellent communication, leadership, stakeholder management, and ability to tell a brand-driven story with data.

Why Join Us

Be part of a globally recognized brand with ambitious growth and innovation targets. Drive the fusion of brand power and data science to shape the future of customer and product experiences. Work on mission-critical projects where analytics directly influences brand equity and business growth. Collaborate with a diverse, innovative team of data professionals and brand strategists. Flexible, global, and collaborative culture with competitive compensation and opportunities for professional growth.