Role Description We are currently seeking a Senior Data Scientist - Optimization to join our team in Remote, Texas (US-TX), United States. 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. - 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. Qualifications - 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%. Preferred Qualifications & Skills - 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. Location & Work Arrangement - United States, with a preference for Atlanta, GA; Louisville, KY; or New Jersey. - Primary work location is remote, with occasional travel to client sites for key workshops, working sessions, and executive presentations. Compensation 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 qualifications.

• Design, develop, and deploy computer vision and machine learning models to automatically extract map‑observable features from satellite imagery • Leverage and adapt vision foundation models and modern deep learning techniques for geospatial feature extraction at global scale • Build scalable, production‑ready ML pipelines that process large volumes of satellite imagery with high accuracy and efficiency • Integrate ML outputs into HERE’s mapmaking systems, ensuring alignment with cartographic quality, consistency, and accuracy standards • Address real‑world geospatial challenges such as variable imagery resolution, diverse sensors, regional differences, and environmental conditions • Define evaluation metrics, conduct experiments, and drive continuous improvement of model performance and map data quality • Collaborate cross‑functionally with data engineering, mapping, and product teams to translate business needs into ML solutions

• Build growth and opportunity models • Find growth opportunities • Support experimentation and measurement • Build practical data science workflows • Drive action

Role Description - Performs clinical data and query review to ensure consistency, integrity and accuracy based on project specific guidelines. - Works closely with company Operating Procedures and ICH GCP and ensures correct processes are being followed. - Defines database requirements and data validations and performs/supports validation of data management systems. - Builds a database based on study specifications. - Participates in study team and all related meetings for assigned protocols by providing data management updates. - Participates in the development and maintenance of data management study documentation including the data management plan, reconciliation guidelines and eCRF specifications. - Assumes responsibility for all data management activities for assigned studies. - Produces and reviews metric reports for internal/external project teams. - Provides feedback for system/report improvement. - Performs other duties and tasks, as required. Qualifications - Education and/or experience equivalent to a bachelor's degree in science, or related field. - Four (4) years of clinical data management experience. - Knowledge of clinical trials data processing concepts. - Demonstrated knowledge of data management processing systems. - Demonstrated experience in all areas of data management - database build, database maintenance and database lock. - Knowledge of ICH/GCP. - Clinical data processing/research/query creation/report writing. - Demonstrated strong computer skills with Microsoft Excel and Word, electronic data capture systems, internet research and other applicable software programs. - Ability to travel occasionally, up to 15%. Requirements - Lifting -- Not to exceed 50 lbs. -- local practice may apply. - Writing - Sitting - Standing - Bending - Visual acuity - Color perception - Depth perception - Reading - Field of vision/peripheral Benefits - Multiple Shifts and Hours to choose from: Days, Swing (Eve), and Nights. - Medical/Dental & Other Insurances (eligible the first of month after 30 days). - Low Cost Onsite Medical Clinic. - Two (2) Onsite Cafeterias. - Employee Garden | Gardening Classes. - 3 Weeks' Vacation | 1 Week Sick-Time | Paid Holidays. - 401K | Health Savings Account.