Data Scientist Expert

Posted Yesterday
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2 Locations
In-Office
Junior
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Build and deploy advanced retail-focused ML solutions across recommendations, customer lifecycle analytics, pricing, supply chain forecasting, and store operations. Develop personalization, dynamic pricing, demand forecasting, CV-based store intelligence, and reusable ML platform components (feature stores, inference systems, causal models) to optimize acquisition, retention, margins, inventory, and fulfillment.
Summary Generated by Built In

This role is for one of the Weekday's clients

Min Experience: 1+ years

Location: Bengaluru, Mumbai

JobType: full-time


Requirements

1. Customer, Growth & Commerce Intelligence

  • Search, ranking, recommendations, and personalization
  • Customer profiling, segmentation, lifetime value (LTV), churn analysis, and loyalty programs
  • Optimization of acquisition, engagement, retention, and customer lifecycle
  • Evaluation of marketing effectiveness, attribution, uplift, and experimentation

2. Monetization, Pricing & Promotions

  • Dynamic pricing strategies and markdown optimization
  • Assessment of promotion effectiveness and personalization of offers
  • Ad relevance, bidding intelligence, and performance measurement
  • Optimization of margins and revenue intelligence

3. Supply Chain, Planning & Availability

  • Large-scale demand planning and forecasting
  • Inventory management, replenishment, and allocation optimization
  • Network planning, sales & operations planning (S&OP), and fulfillment intelligence
  • Optimization of product availability, selection depth, and service levels

4. Store, Operations & Physical Retail Intelligence

  • Enhancing store efficiency, labor optimization, and compliance monitoring
  • Planogram analytics and assortment effectiveness
  • Intelligence derived from computer vision, video, and sensor data
  • Prevention of shrinkage, fraud, and loss

5. Platform, Automation & Next-Generation AI

  • Embedding intelligent decision engines into workflows
  • Agentic systems for automated planning, execution, and monitoring
  • Modeling based on causal inference, simulations, and digital twins
  • Reusable machine learning platforms, feature stores, and inference systems
Must-have skills

Retail recommendations

Good-to-have skills

PyTorch, TensorFlow, XGBoost

Skills Required

  • 1+ years of experience
  • Customer, Growth & Commerce Intelligence (search, ranking, recommendations, LTV, churn, attribution, experimentation)
  • Monetization, Pricing & Promotions (dynamic pricing, promotion effectiveness, bidding intelligence)
  • Supply Chain, Planning & Availability (large-scale demand forecasting, inventory management, allocation optimization)
  • Store, Operations & Physical Retail Intelligence (store efficiency, planogram analytics, CV/video/sensor intelligence, loss prevention)
  • Platform, Automation & Next-Generation AI (feature stores, inference systems, causal modeling, simulations, digital twins)
  • Retail recommendations
  • PyTorch
  • TensorFlow
  • XGBoost
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The Company
0 Employees
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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