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World Views Change Consulting

Data Scientist

World Views Change Consulting, Norfolk, Virginia, United States, 23500

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Requires U.S. Citizenship & Secret Security Clearance Company Description World Views Change Consulting (WVCC) specializes in guiding organizations through the complexities of change. We provide strategic change management solutions that drive sustainable success, focusing on aligning people, processes, and technology to ensure smooth transitions with minimal disruption. Through tailored strategies, leadership development, stakeholder engagement, and communication planning, we empower organizations to embrace change with confidence. Partner with WVCC to turn change into a catalyst for growth and innovation. Role Description This is a full-time on-site role for a Data Scientist located in Norfolk, VA. The Data Scientist will be responsible for analyzing complex datasets to derive actionable insights, creating data visualizations, developing predictive models, and conducting statistical analyses. The Data Scientist will collaborate closely with cross-functional teams to support change management initiatives using data-driven strategies. Qualifications Degree in Data Science, AI, Computer Science, Math, Engineering, or related field (or 4 years of relevant professional experience within the last 5 years) Recent experience (within 4 years) in a data science, AI/ML engineering, or similar technical role Proficient in Python, R, SQL, and modern software development practices Hands-on with machine learning tools/frameworks like TensorFlow, PyTorch, scikit-learn Experience building and maintaining data science workflows and pipelines Skilled in data visualization using tools like Tableau, Power BI, or Kibana Knowledge of data security and privacy, especially in sensitive or defense environments Experience delivering technical training in data science and AI Public portfolio of past work (e.g., GitLab or similar) Comfortable working in cloud platforms (Azure, AWS) Background working in international, mixed military-civilian teams Strong communication and presentation skills Involvement in AI/data outreach (academia, industry, hackathons, etc.) Familiarity with NATO processes, structure, and organizational culture Preferred Skills Experience in big data ecosystems (e.g., Spark, Databricks) Use of open-source and public datasets in applied projects Strong data storytellingable to communicate insights to non-technical audiences Military staff experience or exposure to federated learning models Deep understanding of NATOs organizational functions Experience with agile project management methods and tools Additional languages, especially from NATO member or partner countries Eligible for NATO security clearance; past experience with classified data is a plus

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