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Workforce Planning - Data Analyst / Data Scientist / Ai / Ml @ Optum

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 Workforce Planning - Data Analyst / Data Scientist / Ai / Ml

Job Description

  • Join our team and take a leading role in shaping workforce planning strategy throughadvanced 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 OptimizationDevelop and implement long-term forecasting models to guide workforce planning,hiring plans, and budget allocation, incorporating skill-based constraints and relevantoperational constraints
  • Own your projects by managing daily activities and timelines, while collaboratingwith leadership to align staffing models with business objectives, seasonal demands,and evolving initiatives
  • Proactively and creatively explore and propose strategies to enhance operationalefficiency-for example, by analyzing alternative scenarios with varying risk levelsand weighing the trade-offs between hiring additional staff and leveraging overtime
  • Translate operational requirements into mathematical optimization models to addressworkforce challenges, including multi-skill staffing and other operational constraints
  • Conduct ad-hoc analyses to inform strategic decisions, leveraging tools like Python,R, or SQL, and integrate optimization solvers such as Gurobi, CPLEX, or opensource alternatives

Act as thought leader on research initiatives to advance workforce planning
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:

  • 3+ years of experience in data science, operations research, or related quantitativerole or graduate coursework in supply chain management, statistics, industrialengineering, or management science
  • Deep understanding of statistical modeling and optimization techniques relevant tocontact center strategic planning and resource allocation
  • Collaborate with cross-functional teams to identify and implement data-drivensolutions
  • Results-driven project leader with proven track record of managing end-to-endproject lifecycles
  • Effectively communicate complex concepts and present insights to both technicaland non-technical audiences with clarity and impact
  • Demonstrates a problem-solving mindset with a focus on scalable solutions, strongattention to detail, and the ability to thrive in ambiguous situations
  • Expertise in at least one scripting language (eg, Python, R) and a strong knowledgeof SQL and Excel
  • Working knowledge of workforce management tools (eg, Genesys, NICE, Aspect)
  • Nice to have: Tableau or Power BI visualization platforms

Preferred Qualifications:

  • Advanced degree (MS/MBA) in business or quantitative field (engineering, statistics,supply chain, and management science)
  • Proven experience in long-term forecasting, workforce analytics, or capacityplanning, leveraging data-driven solutions within the healthcare industry
  • Familiarity with AI/ML applications in workforce optimization

Job Classification

Industry: Retail
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time

Contact Details:

Company: Optum
Location(s): Noida, Gurugram

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Keyskills:   data analyst python data pipelines supply chain forecasting ai power bi sql strategic planning analytics r tableau workforce planning automation data science supply chain management data scientist statistical modeling ml

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