Senior Data Scientist - Optimization

NTT DATA Services

10d•Remote

About The Position

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.

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 Haves

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

Responsibilities

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.