Senior Data Scientist
Essential duties include the following:- Act as the technical lead for high-impact data science projects, from ideation through production deployment, ensuring alignment with business objectives and compliance standards.
- Design and implement machine learning and AI solutions, including predictive models, forecasting frameworks, segmentation analysis, and natural language processing capabilities.
- Lead the development and enhancement of Clara, SWBC's AI decision assistant, including context engineering within Omni, model evaluation, and continuous intelligence improvement.
- Develop and deploy AI/ML solutions within SWBC Intelligence, the enterprise multi-model AI orchestration platform, leveraging AWS Bedrock and AWS Sagemaker for internal and client-facing use cases.
- Build and maintain AI/ML experiment workflows using Hex for prototyping and exploration, and AWS SageMaker and MLflow for experiment tracking, model versioning, and lifecycle management within the platform.
- Contribute to the platform's Evaluation Harness process, including golden dataset curation, rubric-based scoring, adversarial testing, and model performance benchmarking to ensure solution quality before production deployment.
- Conduct AI experimentation and prototyping within governed sandbox environments, including Snowflake Sandbox and Hex, while adhering to data privacy, masking, and compliance requirements.
- Collaborate with Analytics Engineers and Data Management teams to source model training data from governed medallion layers (Bronze 12 Silver 12 Gold), ensuring data quality and lineage traceability.
- Champion Responsible AI practices, including explainability, bias monitoring, fairness metrics, and model auditability in alignment with SWBC's governance framework.
- Lead model validation, A/B testing, and performance monitoring to ensure models meet business requirements and maintain production-grade reliability.
- Partner with IT platform engineering teams to provide feedback on platform capabilities, identify gaps, and advocate for enhancements that improve the Data Science team's development and deployment experience.
- Mentor, coach, and provide technical guidance to the Data Science team, fostering a culture of continuous learning, empirical rigor, and innovation.
- Publish technical documentation and best practices to advance the team's capabilities and contribute to the organization's knowledge base.
Serious candidates will possess the minimum qualifications:- Master's or Ph.D. in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or a related discipline. Equivalent professional experience (8+ years) may be considered in lieu of an advanced degree.
- Minimum five (5) years of progressive experience in data science, with a portfolio of deployed models that have driven significant business value.
- Extensive experience with advanced machine learning techniques, including deep learning, natural language processing (NLP), time series forecasting, or computer vision.
- Proficiency in Python and strong understanding of ML frameworks such as TensorFlow, PyTorch, scikit-learn, or equivalent.
- Hands-on experience developing and deploying models within cloud-based AI/ML platforms, including AWS SageMaker, Bedrock, and S3.
- Experience with MLOps tools and practices, including MLflow, model registries, CI/CD for ML pipelines, and automated evaluation frameworks.
- Proficiency in Hex for data science experimentation and prototyping, and familiarity with Omni for analytics and AI context development.
- Familiarity with Snowflake for data sourcing and analytics within a governed medallion architecture.
- Strong understanding of data governance, compliance, and responsible AI principles within regulated industries. Financial services or insurance experience preferred.
- Exceptional communication and leadership skills, with a track record of influencing strategic decisions and presenting complex findings to non-technical stakeholders.
- Demonstrated ability to work autonomously, manage projects, and make key decisions with minimal guidance.
- Ability to lift 20 lbs. of files, supplies, documents, or other related items.
SWBC offers*: - Competitive overall compensation package
- Work/Life balance
- Employee engagement activities and recognition awards
- Years of Service awards
- Career enhancement and growth opportunities
- Leadership Academy and Mentor Program
- Continuing education and career certifications
- Variety of healthcare coverage options
- Traditional and Roth 401(k) retirement plans
- Lucrative Wellness Program
*Based upon employee eligibility
Additional Information:To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.
