Digital Customer Engagement AI Data Scientist

Accountabilities

• 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

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1