Job Summary

Global MNC Tech is seeking a highly analytical and results-driven Data Scientist to join our growing Retail Analytics team. In this fully remote role, you will leverage advanced statistical modeling, machine learning, and data visualization techniques to generate actionable insights that drive retail performance and customer engagement. The ideal candidate is passionate about transforming complex data into strategic business value and thrives in a fast-paced, innovation-focused environment.

Key Responsibilities

• Develop and deploy predictive models to support retail demand forecasting, customer segmentation, and pricing optimization.

• Analyze large, complex datasets to uncover trends, patterns, and opportunities for business growth.

• Collaborate with cross-functional teams including product, marketing, and supply chain to translate business problems into data science solutions.

• Design and maintain data pipelines and feature engineering workflows.

• Build dashboards and visualizations to communicate insights to technical and non-technical stakeholders.

• Validate model performance and continuously improve model accuracy and scalability.

• Stay current with emerging data science techniques and retail analytics best practices.

• Ensure data quality, integrity, and compliance with data governance standards.

Required Skills and Qualifications

• Bachelors or Masters degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.

• Strong proficiency in Python or R for data analysis and machine learning.

• Experience with SQL and working with large-scale datasets.

• Solid understanding of machine learning algorithms, statistical modeling, and predictive analytics.

• Experience with data visualization tools such as Tableau, Power BI, or similar.

• Familiarity with cloud platforms (AWS, Azure, or GCP) is preferred.

• Strong problem-solving and critical-thinking abilities.

• Excellent written and verbal communication skills.

Experience

• 3–6 years of hands-on experience in data science, preferably within retail, e-commerce, or consumer analytics.

• Proven track record of delivering end-to-end predictive analytics projects.

• Experience working in remote or distributed teams is an advantage.

• Exposure to big data technologies (Spark, Hadoop) is a plus.

Working Hours

• Fully remote position.

• Flexible working hours with overlap required during core business hours.

• Occasional extended hours may be required during key project milestones.

Knowledge, Skills, and Abilities

• Deep understanding of retail KPIs and customer behavior analytics.

• Ability to translate business requirements into analytical solutions.

• Strong attention to detail and data accuracy.

• Effective stakeholder management and presentation skills.

• Ability to manage multiple projects simultaneously.

• Self-motivated with the ability to work independently in a remote environment.

• Continuous learning mindset with passion for innovation.

Benefits

• Competitive salary and performance-based incentives.

• Remote work flexibility and work-life balance.

• Health and wellness benefits.

• Professional development and certification support.

• Collaborative and inclusive global work environment.

• Paid time off and company holidays.

• Access to cutting-edge tools and technologies.

Why Join

At Global MNC Tech, we empower our employees to innovate, grow, and make a meaningful impact. You will work with a diverse global team on high-impact retail analytics initiatives that shape business strategy. We foster a culture of continuous learning, collaboration, and technological excellence, providing you with the platform to advance your career in data science.

How to Apply

Interested candidates should submit their updated resume along with a brief cover letter highlighting relevant experience in predictive analytics and retail data science. Shortlisted applicants will be contacted for the next stage of the selection process.