If you are passionate about marketing analytics, data science and machine learning, this role gives you the platform to build models that influence campaign strategy across global retail markets. You will convert data into insights, automate dashboards, and drive measurable business impact — ideal for candidates aiming for Data Scientist Careers, Machine Learning Engineer roles or Marketing Analytics Jobs.
About the Job
A leading analytics team is hiring a Data Scientist / Data Engineer to design statistical models, analyze large datasets, and support decision-making through automation and experimentation. This position blends campaign measurement, attribution modeling, A/B testing and cloud-based analytics, making it perfect for those wanting to grow in AI, Data Science and MarTech analytics.
What You Will Be Working On
• Designing statistical models and machine learning algorithms to optimize campaign effectiveness and ROI
• Analyzing large datasets to uncover insights and recommend performance improvements
• Developing and executing A/B testing frameworks for marketing decisions
• Building automated dashboards and visualization reports for stakeholders
• Ensuring data quality, transformation and integrity across pipelines
• Collaborating with marketing, products and engineering teams
• Presenting insights to technical and business users in simple language
Also Read: PC Digital Media Opens Hiring for Sales Specialist Role…
Skills Required
You must know SQL, Python, Advanced Excel, Statistical Modeling, Machine Learning Algorithms, Experimentation Design and Visualization tools — especially valuable for Data Scientist Careers, Analytics Engineering Jobs and Cloud Analytics roles.
Who Can Apply
• 1–2 years experience in data science, analytics or marketing analytics
• Graduates in Computer Science, Statistics, Mathematics, Data Science or Engineering
• Solid understanding of marketing measurement, segmentation, attribution or campaign optimization
Additional Requirements
• Proficiency in SQL, Python, Excel, Alteryx, UNIX, GIT, Cloud Analytics
• Exposure to big data technologies and Azure / cloud platforms
• Familiarity with Power BI or Tableau
• Strong problem-solving, communication and analytical thinking
Work Structure
• Rotational shifts
• Full-time, permanent role
Salary
Competitive for Data Scientist / Data Engineer roles, aligning with industry pay scales for analytics talent.
Number of Openings
Not disclosed
Job Details
| Category | Information |
|---|---|
| Role | Data Engineer / Marketing Data Scientist |
| Industry Type | Analytics / KPO / Research |
| Department | Engineering – Software & QA / Data Analytics |
| Employment Type | Full Time – Permanent |
| Role Category | Data Science / Software Development |
Why This Role Matters
This position allows you to apply analytics to real-world campaigns across international markets, making it a strong platform for people who want to grow in:
• Marketing Analytics Careers
• Machine Learning + Business Strategy roles
• Cloud Data Engineering and Automation

