Senior Data Scientist - Optimization

Req ID: 370102

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Senior Data Scientist - Optimization to join our team in Remote, Texas (US-TX), United States (US).

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.

Key Responsibilities

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Lead and deliver client-facing data science and optimization engagements, ensuring high satisfaction and measurable business outcomes.

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Define project objectives, scope, timelines, and success metrics in collaboration with client stakeholders and internal teams.

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Establish and maintain strong executive-level client relationships, gaining a deep understanding of business challenges and operational constraints.

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Communicate complex mathematical, optimization, and technical concepts clearly and credibly to non-technical and senior audiences.

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Prepare and deliver executive-ready updates, insights, and recommendations, including sensitivity analyses and scenario-based findings.

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Conduct market research, develop informed perspectives, and communicate thought leadership to clients and internal stakeholders.

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Lead the design, formulation, and delivery of operations research and optimization models for large, complex enterprises.

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Translate ambiguous business problems into rigorous mathematical formulations and scalable optimization solutions.

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Develop and refine models across domains such as:

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Resource allocation

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Scheduling and workforce optimization

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Cost and network optimization

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Vehicle routing

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Strategic planning (e.g., facility opening/closing, multi-period network modeling)

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Apply deep expertise in optimization solvers (e.g., Gurobi preferred, CPLEX or similar) to deliver robust, production-ready solutions.

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Scrutinize model outputs, perform sensitivity and trade-off analyses, and clearly articulate implications and recommendations to stakeholders.

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Handle data sets of varying complexity, including large-scale, distributed, and streaming data environments.

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Assemble, process, and validate large, complex data sets that meet both functional and non-functional requirements.

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Implement batch and real-time model scoring to support operational and strategic decision-making.

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Apply strong business acumen to analyze data, produce insights, and develop impactful reports and analyses.

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Perform ad hoc and exploratory analyses in response to evolving client and business needs.

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Collaborate with data engineers, architects, and business stakeholders to resolve data quality, availability, and information flow issues.

Basic Qualifications

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7+ years of experience supporting data science projects in a consulting or professional services environment.

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7+ years of experience across one or more of the following areas: Predictive Analytics, Data Design, Statistics, AI / Machine Learning, MLOps

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2+ years of hands-on experience in Operations Research, Optimization, and Mathematical Modeling.

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3+ years of experience using Python, R, and/or C# to analyze disparate datasets and develop analytical solutions.

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Ability to travel up to 25%.

Preferred Qualifications & Skills

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Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Data Science, or a related field preferred.

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Demonstrated ability to work independently with minimal guidance while engaging practice leadership as needed.

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Strong consulting mindset with exceptional problem decomposition, prioritization, and solutioning skills.

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Excellent verbal and written communication skills, with the ability to influence senior and executive stakeholders.

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Consistently demonstrates strong teamwork, professionalism, and a results-driven work ethic.

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Maintains a flexible, \"can-do\" attitude and commitment to client and team success.

Location & Work Arrangement

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United States, with a preference for Atlanta, GA; Louisville, KY; or New Jersey.

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Primary work location is remote, with occasional travel to client sites for key workshops, working sessions, and executive presentations.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $144,975.00 - $241,265.00. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifi