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Job description
Early Warning Services is hiring a Data Scientist I to support end-to-end machine learning and artificial intelligence work, from business problem understanding through model deployment and ongoing monitoring. The role operates in collaboration with senior technical and business leaders.
Role Overview
This position serves as a data science team member delivering machine learning and AI concepts start to finish. Responsibilities include understanding the business problem, aggregating and exploring data, building and validating algorithms, and quantifying model value for Early Warning Customers through simulations using real world inputs. The role also includes articulating model risks, deploying completed models to support business results, and regularly measuring model accuracy, drift, and performance.
Key Responsibilities
Produce standard and ad hoc analytic reports.
Assist with developing, testing, and documenting open-source code for data analysis and modeling.
Perform data analysis tasks, including programming data transformations, interpreting results, and investigating root causes.
Contribute to Internal model validation procedures, support external Model Validations, and perform regular model validation as part of the Model Risk Management program.
Independently explore and aggregate data to identify data anomalies that impact algorithm performance.
Deliver end-to-end feature engineering, including brainstorming, creating, validating, and down-selecting features.
Write production-level code in a dynamic, fast-paced environment.
Apply a variety of machine learning techniques to business problems to arrive at an optimal approach.
Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
Partner with Sales and Product teams to perform Customer Value tests supporting business development efforts for current and future models.
Explain and visualize results and algorithm performance for non-technical audiences.
Support the company commitment to protect the integrity and confidentiality of systems and data.
Required Qualifications
Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, Operational Research, or a related field, or equivalent work experience.
Minimum 2 years of data science, engineering, mathematics, or related work, including internships or course experience (with a Bachelor’s degree); also acceptable is a Master’s degree without experience (or some internship).
Ability to write model development technical documents.
Willingness to troubleshoot system or data issues that hinder analytics environment functionality.
Experience using data visualization tools.
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Worksite address
scottsdale, AZ, 85261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.