Data Scientist – Retail & Logistics Analytics

About Us:

With over 18 years of experience in data analytics, we’ve built vast data pipelines and utilized sophisticated analytical models to generate valuable insights. However, we’ve identified a critical gap—our insights must be actionable for frontline decision-makers. Store managers, the backbone of retail operations, need more than dashboards; they need clear, data-driven guidance that translates directly into effective action. Our mission is to bridge this gap and deliver meaningful, practical insights that empower retail and logistics operations.

Role Overview:

We are seeking a dynamic and results-driven Data Scientist with expertise in clustering, forecasting, and anomaly detection. The ideal candidate will have hands-on experience in the retail and/or logistics sectors and a passion for transforming complex data into actionable strategies that drive operational excellence.

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Key Responsibilities:

• Develop and implement machine learning models for demand forecasting, customer segmentation, and anomaly detection.
• Analyze large datasets to uncover trends, patterns, and insights that improve operational decision-making.
• Collaborate cross-functionally with product teams, business stakeholders, and store managers to translate analytical outcomes into practical solutions.
• Optimize supply chain processes and logistics strategies through data-driven approaches.
• Continuously improve data models and algorithms to enhance prediction accuracy and business value.
• Communicate complex analytical findings in a clear and actionable manner to non-technical stakeholders.

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Requirements:

• Proven experience in clustering, time-series forecasting, and anomaly detection.
• Strong programming skills in Python, R, or similar languages.
• Solid understanding of data pipelines, data wrangling, and model deployment.
• Industry experience in retail and/or logistics analytics is highly preferred.
• Excellent problem-solving skills and the ability to deliver actionable insights.

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Preferred Qualifications:

• Experience with supply chain optimization models.
• Familiarity with real-time data processing and stream analytics.
• Strong communication skills with an ability to convey technical concepts to business users.

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What We Offer:

• The opportunity to work on impactful projects that directly influence business decisions.
• A collaborative and innovative work environment.
• Professional growth and development opportunities.
• Flexible work arrangements and a competitive compensation package.

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How to Apply:

Submit your resume and a brief cover letter highlighting your experience in retail/logistics data science and how your expertise can help us drive actionable insights.

Join us in turning data into decisions that truly make a difference!

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