Join our team and take a leading role in shaping workforce planning strategy through
advanced forecasting, capacity planning, and optimization modeling.
You will design scalable models to address complex contact center staffing challenges-
including inbound and blended multi-channel environments-where operational costs and
efficiency must be continuously balanced to meet business goals. This role demands strong
operations research expertise and proficiency in Python to automate data pipelines and integrate
third-party optimization libraries, enabling intelligent and efficient workforce solutions.
Strategic Workforce Optimization
hiring plans, and budget allocation, incorporating skill-based constraints and relevant
operational constraints.
with leadership to align staffing models with business objectives, seasonal demands,
and evolving initiatives.
efficiency-for example, by analyzing alternative scenarios with varying risk levels
and weighing the trade-offs between hiring additional staff and leveraging overtime.
workforce challenges, including multi-skill staffing and other operational constraints.
R, or SQL, and integrate optimization solvers such as Gurobi, CPLEX, or opensource alternatives.
methodologies, including :
o Develop Python-based automation to streamline forecasting and optimization
processes, including automated data extraction, transformation, and model
execution.
o Optimizing blended inbound / outbound contact center staffing to balance cost
and service levels
Required Qualifications :
role or graduate coursework in supply chain management, statistics, industrial
engineering, or management science.
contact center strategic planning and resource allocation.
solutions.
project lifecycles.
and non-technical audiences with clarity and impact.
attention to detail, and the ability to thrive in ambiguous situations.
of SQL and Excel.
Preferred Qualifications :
supply chain, and management science).
planning, leveraging data-driven solutions within the healthcare industry.
Skills Required
Supply Chain, Statistics, workforce analytics
Aiml Scientist • Gurgaon / Gurugram, India