Digital Customer Engagement AI Data Scientist

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Digital Customer Engagement AI Data Scientist in the United States.

This role sits at the intersection of advanced AI, customer engagement, and healthcare innovation, where data-driven insights directly influence how organizations interact with patients and stakeholders. You will design and deploy machine learning solutions that power digital engagement strategies, improving personalization, efficiency, and decision-making across global healthcare operations. Working in a highly collaborative, research-driven environment, you will transform complex structured and unstructured data into scalable AI products. The position combines hands-on model development with strategic input into responsible AI adoption and enterprise data architecture. You will partner closely with cross-functional teams including engineering, product, and business leaders to bring AI solutions into production. Your work will have a tangible impact on improving customer experiences while supporting safer, more effective healthcare outcomes at scale.

• Develop and deploy machine learning, deep learning, and generative AI models to enhance digital customer engagement and solve real-world business challenges, including predictive and prescriptive use cases.
• Build and maintain end-to-end data science pipelines, covering data ingestion, feature engineering, model training, evaluation, and continuous improvement.
• Implement and manage MLOps practices such as model monitoring, versioning, drift detection, retraining, and production optimization.
• Collaborate with data engineering teams to ensure robust, scalable, and governed data foundations for AI solutions.
• Translate business and customer engagement needs into data science problems with measurable success criteria and actionable insights.
• Communicate analytical findings clearly to technical and non-technical stakeholders, supporting adoption and value realization across the organization.
• Ensure responsible AI practices, including compliance with governance frameworks, data privacy requirements, and ethical AI principles.

Requirements

• Advanced degree (Master’s or PhD preferred) in Data Science, Computer Science, Statistics, Mathematics, AI, or a related field.
• Strong hands-on experience with Python and data science libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
• Solid understanding of machine learning algorithms, statistical modeling, and model evaluation techniques.
• Experience working with SQL and large-scale datasets in complex data environments.
• Proven ability to deploy and operationalize AI/ML models in production or near-production environments.
• Familiarity with cloud-based AI platforms (e.g., Azure ML, Databricks, Snowflake) and modern MLOps frameworks.
• Strong communication skills, with the ability to bridge technical and business perspectives effectively.
• Experience in regulated environments (e.g., healthcare) and exposure to GenAI/LLM applications is a strong plus.

Benefits

• Competitive base salary with additional eligibility for variable compensation depending on role structure and performance
• Comprehensive medical, dental, and vision insurance coverage
• 401(k) retirement savings plan with employer support
• Paid time off, sick leave, and flexible work arrangements
• Life insurance, short-term and long-term disability coverage
• Opportunities for professional development and career progression into senior AI and leadership roles
• Inclusive, global, and innovation-driven work environment focused on impactful healthcare solutions