Note: The job is a remote job and is open to candidates in USA. Sedgwick Claims Management Services Inc. is a company dedicated to helping people facing unexpected challenges. The ML Architect role involves partnering with stakeholders to execute advanced analytics and data science projects, designing data modeling processes, and developing algorithms and predictive models to support business decisions.
Responsibilities
- Builds, prototypes, and deploys machine learning models in production environments
- Collaborates with product, technology, and other stakeholders to identify and scope data science projects
- Communicates modeling challenges, findings, and outcomes to technical and non-technical stakeholders
- Designs and implements end-to-end ETL (extract, transform, load) data pipelines integrating data from multiple data sources
- Explores new internal and external data sources and assesses their commercial benefit
- Mentors team members and serves as a subject matter expert in cross-functional discussions
- Performs other duties as assigned
- Travels as required
Skills
- Ten (10) years of related experience or equivalent combination of education and experience to include three (3) years of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering
- Proficiency writing code in Python or R and documenting for reproducibility
- Strong knowledge of reviewing other's models and code
- Ability to use data visualization tools and libraries
- Strong data exploration, data wrangling and feature engineering skills
- Knowledge of application of supervised/unsupervised ML techniques
- Thorough knowledge of SQL to query relational databases
- Excellent oral and written communication skills, including presentation skills
- PC literate, including Microsoft Office products
- Analytical and interpretive skills
- Strong organizational skills
- Ability to create and complete comprehensive, accurate and constructive written reports
- Ability to work in a team environment
- Ability to meet or exceed Performance Competencies
- Master's degree or Ph.D. with major in statistics, mathematics, computer science, data science, economics, or related quantitative field from an accredited college or university
- Experience with natural language processing and healthcare data
Benefits
- Medical
- Dental
- Vision
- 401k and matching
- PTO
- Disability and life insurance
- Employee assistance
- Flexible spending or health savings account
- Other additional voluntary benefits
Company Overview