Senior Data Scientist at Guardian utilizing AI/ML to drive enterprise-wide innovation. Collaborating with cross-functional teams to create advanced data science solutions.
Responsibilities
Lead use case/workstream with junior data scientists
Support use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation
Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets
Utilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs
Identification of source data and data quality checks both in model/solution development and in production
Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Propose innovative ways to look at problems through using data mining and data visualization
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
Present information using data visualization techniques; communicate results and ideas to key decision makers
Ensure data accuracy and consistent reporting by performing regular data quality control, prepare and maintain reports, and troubleshoot data anomalies
Requirements
PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field
3+ years of hands-on ML modeling/development experience
Solid understanding of data analysis and statistical modeling
Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.)
Demonstrated track records in experimental design and executions
Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions
Strong programming skills in Python
Solid background in algorithms and a range of ML models
Excellent analytical and problem-solving abilities with superb attention to detail
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