Digital Customer Engagement AI Data Scientist
New
USFull-Time
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Required Skills
- PythonSQLArtificial IntelligenceMachine LearningNumpyPyTorchSnowflakeData sciencePandasTensorflowDatabricksDeep Learningscikit-learnMLOpsGenerative AI
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.
Responsibilities
- 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.
View Full Description & ApplyYou'll be redirected to the employer's site
