Senior Data Scientist - Brand and Marketing

HireFlex; India; On-site; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Competitive compensation

Opportunities for professional growth

Flexible working culture

Job summary

A global data-driven company is seeking a Senior Data Scientist to drive innovation by blending advanced analytics, machine learning, and strategic brand insights. You will own the data product lifecycle, aligning analytics with brand objectives while enhancing customer experiences. Candidates must have over 10 years in data science, including leadership roles. Join a diverse team striving for excellence and enjoy competitive compensation and flexible work culture.

Qualifications

• 10+ years in data science, with at least 3–4 years in senior or leadership roles delivering end-to-end data products.
• Strong knowledge of brand health metrics, customer/product experience analytics, and marketing mix models.
• Proven track record of applying data science to brand and business growth strategies.

Responsibilities

• Design and manage full-stack data science solutions from ingestion and transformation through deployment.
• Develop and deploy ML models for predictive analytics, segmentation, personalization, recommendation systems.
• Build models that enhance customer journey mapping and improve product experience across channels.
• Implement CI/CD pipelines and orchestration for scalable ML operations.
• Build brand-performance dashboards and data apps for executives and marketing teams.

Skills

Strong Python (OOP, design patterns, NumPy, pandas, scikit-learn, TensorFlow/PyTorch)

Cloud experience (Azure, AWS/GCP acceptable)

Real-time data streaming (Kafka/Spark Streaming)

Large-scale processing (Spark/Dask)

Version control (Git) and CI/CD

Education

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

Job description

Senior Data Scientist - Brand and Marketing

About the Role

We are seeking a Senior Data Scientist to drive innovation at the intersection of data science and brand power. This role blends advanced analytics, machine learning, software engineering, and strategic brand insights to shape impactful solutions that elevate customer experience and product reach. You will own the end-to-end lifecycle of data products, from data ingestion to real-time deployment, while ensuring outcomes align with brand performance, consumer engagement, and market growth metrics.

About the Team

At Global Analytics, we’re driving HEINEKEN’s transformation into the world’s leading data-driven brewer. The Global Analytics team is a diverse group of Data Scientists, Data Engineers, Business Intelligence Specialists, and Analytics Translators across multiple countries and regions. Our culture fosters collaboration, innovation, and reliability, with a focus on transforming HEINEKEN into a leader in data‑driven decision-making and creating value through global diversity.

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

• BE/BTech/MS in Data Science, Computer Science, Statistics, AI, or related fields.
• 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. Excellent communication, leadership, stakeholder management, and the 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.