Retail Data Scientist: Predictive Analytics That Drive Growth

Markcov; Karachi Division; On-site; PKR 1,800,000 - 3,200,000; Full time

Job summary

Markcov is seeking a Data Scientist to translate omnichannel retail data into actionable insights, build predictive models for pricing and inventory, and personalize customer experiences. You will empower retail partners to anticipate trends and reduce stockouts in a competitive market.

We value hands-on experience with Python or R, SQL, time-series forecasting, clustering, and ML frameworks like Scikit-learn, TensorFlow, or PyTorch, plus BI tools such as Tableau or Power BI.

Qualifications

• 3+ years of professional experience in data science, predictive modeling, or advanced analytics in retail/e-commerce/CPG.
• Proficiency in Python or R and SQL for data extraction and modeling.
• Hands-on experience with ML techniques for retail, including forecasting, clustering, classification, and recommendations.

Responsibilities

• Design and deploy ML models to forecast product demand, pricing, and inventory.
• Develop customer segmentation and churn prediction to improve CLV and campaigns.
• Design, run, and analyze A/B tests for promotions, pricing, and UX to boost conversions.
• Translate data into dashboards and compelling narratives for stakeholders and leadership.

Skills

Python/R

SQL

Time-series forecasting

Clustering

Marketing analytics

Tools

Scikit-learn

TensorFlow

PyTorch

Tableau/Power BI/Looker

Job description

Markcov is seeking a Data Scientist to translate omnichannel retail data into actionable insights, build predictive models for pricing and inventory, and personalize customer experiences. You will empower retail partners to anticipate trends and reduce stockouts in a competitive market.

We value hands-on experience with Python or R, SQL, time-series forecasting, clustering, and ML frameworks like Scikit-learn, TensorFlow, or PyTorch, plus BI tools such as Tableau or Power BI.