Data Scientist

• Req ID:

• 365777 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 Data Scientist to join our team in Camden, New Jersey (US-NJ), United States (US).
• Data Scientist
• About the Role
• The Data Scientist plays a pivotal role in planning, executing, and delivering machine learning-based projects that drive business impact.

This role involves analyzing large datasets, developing AI /ML /optimization models, and translating findings into actionable insights. The Data Scientist partners with business and operational leaders, supports senior leadership with analytics, and fosters a culture of data-driven decision-making across the organization.

• Key Responsibilities
• + Collect, clean, and analyze datasets from diverse internal and external sources, applying advanced data wrangling techniques to handle structured, semi-structured, and unstructured data while ensuring completeness, consistency, and accuracy.

+ Acquire access to various databases and source systems (SQL, NoSQL, graph databases) and create data pipelines for efficient and repeatable data science projects. + Apply statistical analysis and visualization techniques (hierarchical clustering, principal components analysis (PCA)) to explore and prepare data. + Design, develop, and validate machine learning, statistical, and optimization models for classification, regression, clustering, recommendation, and prediction tasks. + Select appropriate algorithms and models for AI /ML, and rigorously test them for accuracy, robustness, and fairness. + Perform feature selection and engineering, create predictive variables, and experiment with transformations to enhance performance and interpretability. + Integrate domain knowledge into ML solutions (e.g., care delivery, financial risk, customer journey, quality prediction, sales, marketing). + Conduct controlled experiments (A/B and multivariate testing), to evaluate hypotheses, measure workflow changes, and quantify the impact of AI solutions on operations. + Collaborate with MLOps, data engineers, and IT to evaluate deployment options, and establish best practices around ML production infrastructure. + Continuously monitor execution and health of production ML models, recalibrating as needed and updating them to reflect new data or changing business conditions. + Work with cross-functional teams, collaborating with stakeholders to refine objectives, and ensure alignment between technical outputs and strategic goals. + Create dashboards, and interactive visualizations that communicate results to a wide range of audiences, turning technical findings into actionable recommendations. + Communicate complex projects, models, and results to diverse audiences, including executives and frontline staff, using storytelling and presentation techniques. + Stay current with industry research and emerging technologies in AI, machine learning, and optimization, proactively experimenting with new methods and recommending adoption of tools that strengthen analytics capabilities. + Mentor junior data scientists and analysts, provide guidance on technical approaches and model interpretation, and promote collaboration across teams.

• Qualifications
• Education
• + Master's, or PhD in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, Operations Research, or a related quantitative field. + Specialization in ML, AI, cognitive science, or data science is highly preferred.
• Experience and Skills
• + 3-5 years of hands-on experience planning and executing end-to-end data science projects with demonstrated impact on clinical or operational outcomes in business environments + Advanced programming proficiency in Python or R with strong expertise in machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and statistical analysis tools + Expertise in machine learning and statistical techniques including supervised/unsupervised learning, deep learning, NLP, computer vision, regression models, ensemble methods, and experimental design (A/B testing) + Strong data engineering capabilities including SQL/NoSQL database programming, distributed computing tools (Hadoop, Spark, Kafka), data pipeline development, and experience with cloud platforms (AWS, Azure, GCP) + Production ML and MLOps experience including model deployment, monitoring, containerization (Docker, Kubernetes), version control, and applying DevOps principles to data science workflows + Data visualization and communication excellence with ability to create compelling dashboards (Tableau, Power BI), translate complex technical findings into actionable insights, and present to diverse audiences from executives to frontline staff + Cross-functional collaboration skills with proven ability to work in agile environments, partner with stakeholders to align technical solutions with business objectives, and mentor junior team members + Healthcare domain knowledge preferred, particularly experience with Epic EHR systems, clinical workflows, and healthcare data standards, along with relevant certifications (Clarity /Caboodle, Google Cloud ML Engineer, AWS ML Specialist) •About

NTT DATA

• NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100.

We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.

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is a part of NTT Group, which invests over $3 billion each year in R D. Whenever possible, we hire locally to

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offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an

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office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

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is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here (http://us.nttdata.com/en/compliance#eeos) . If you'd like more information on your EEO rights under the law, please click here (http://us.nttdata.com/en/compliance#know-your-rights) . For Pay Transparency information, please click here (http://us.nttdata.com/en/compliance#ppnp) ._•