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Senior Data Scientist - Optimization

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NTT DATA

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Location:
United States , Remote

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Category:
Consulting

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Contract Type:
Not provided

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Salary:

144975.00 - 241265.00 USD / Year
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Job Description:

NTT DATA is seeking a client-facing senior level Data Scientist with deep expertise in Optimization and Operations Research (OR) to lead high-impact consulting engagements. This role blends advanced quantitative modeling, data science leadership, and executive-level client interaction. You will partner closely with clients to solve complex operational and strategic problems using optimization, analytics, and AI-driven decisioning.

Job Responsibility:

  • Lead and deliver client-facing data science and optimization engagements, ensuring high satisfaction and measurable business outcomes
  • Define project objectives, scope, timelines, and success metrics in collaboration with client stakeholders and internal teams
  • Establish and maintain strong executive-level client relationships, gaining a deep understanding of business challenges and operational constraints
  • Communicate complex mathematical, optimization, and technical concepts clearly and credibly to non-technical and senior audiences
  • Prepare and deliver executive-ready updates, insights, and recommendations, including sensitivity analyses and scenario-based findings
  • Conduct market research, develop informed perspectives, and communicate thought leadership to clients and internal stakeholders
  • Lead the design, formulation, and delivery of operations research and optimization models for large, complex enterprises
  • Translate ambiguous business problems into rigorous mathematical formulations and scalable optimization solutions
  • Develop and refine models across domains such as: Resource allocation, Scheduling and workforce optimization, Cost and network optimization, Vehicle routing, Strategic planning (e.g., facility opening/closing, multi-period network modeling)
  • Apply deep expertise in optimization solvers (e.g., Gurobi preferred, CPLEX or similar) to deliver robust, production-ready solutions
  • Scrutinize model outputs, perform sensitivity and trade-off analyses, and clearly articulate implications and recommendations to stakeholders
  • Handle data sets of varying complexity, including large-scale, distributed, and streaming data environments
  • Assemble, process, and validate large, complex data sets that meet both functional and non-functional requirements
  • Implement batch and real-time model scoring to support operational and strategic decision-making
  • Apply strong business acumen to analyze data, produce insights, and develop impactful reports and analyses
  • Perform ad hoc and exploratory analyses in response to evolving client and business needs
  • Collaborate with data engineers, architects, and business stakeholders to resolve data quality, availability, and information flow issues

Requirements:

  • 7+ years of experience supporting data science projects in a consulting or professional services environment
  • 7+ years of experience across one or more of the following areas: Predictive Analytics, Data Design, Statistics, AI / Machine Learning, MLOps
  • 2+ years of hands-on experience in Operations Research, Optimization, and Mathematical Modeling
  • 3+ years of experience using Python, R, and/or C# to analyze disparate datasets and develop analytical solutions
  • Ability to travel up to 25%

Nice to have:

  • Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Data Science, or a related field
  • Demonstrated ability to work independently with minimal guidance while engaging practice leadership as needed
  • Strong consulting mindset with exceptional problem decomposition, prioritization, and solutioning skills
  • Excellent verbal and written communication skills, with the ability to influence senior and executive stakeholders
  • Consistently demonstrates strong teamwork, professionalism, and a results-driven work ethic
  • Maintains a flexible, can-do attitude and commitment to client and team success

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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