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Data Scientist

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NTT DATA

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Location:
United States , Camden

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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.

Job Responsibility:

  • Collect, clean, and analyze datasets from diverse internal and external sources, applying advanced data wrangling techniques
  • Acquire access to various databases and source systems (SQL, NoSQL, graph databases) and create data pipelines
  • Apply statistical analysis and visualization techniques to explore and prepare data
  • Design, develop, and validate machine learning, statistical, and optimization models
  • Select appropriate algorithms and models for AI/ML and test them for accuracy, robustness, and fairness
  • Perform feature selection and engineering
  • Integrate domain knowledge into ML solutions
  • Conduct controlled experiments (A/B and multivariate testing)
  • Collaborate with MLOps, data engineers, and IT to evaluate deployment options
  • Continuously monitor execution and health of production ML models
  • Work with cross-functional teams
  • Create dashboards and interactive visualizations
  • Communicate complex projects, models, and results to diverse audiences
  • Stay current with industry research and emerging technologies
  • Mentor junior data scientists and analysts

Requirements:

  • 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
  • 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)

Nice to have:

  • Healthcare domain knowledge, particularly experience with Epic EHR systems, clinical workflows, and healthcare data standards
  • Relevant certifications (Clarity /Caboodle, Google Cloud ML Engineer, AWS ML Specialist)
  • Specialization in ML, AI, cognitive science, or data science

Additional Information:

Job Posted:
May 03, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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