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Acadia Insurance (a Berkley Company) · 1 month ago

Senior Data Science Engineer

MO, Chesterfield - 14755 North Outer Forty

Full-time

Onsite

Mid, Senior Level

4+ years exp

Midwest Employers Casualty (MEC) is a part of a Fortune 500 company that focuses on improving the quality of life for employees injured on the job. The Senior Data Science Engineer will leverage substantial data assets to deliver actionable business insights through analytics and predictive modeling, while also leading various projects and mentoring junior team members.

Commercial InsuranceInsurance

No H1B

Responsibilities

Deliver high-quality code, data analysis, and data visualization using best practices

Lead projects to develop automated analytical tools

Lead engineering efforts for model development, testing, and deployment

Occasionally update or train new predictive models

Working with the team to provide analysis, reports and/or electronic files to internal and external customers as needed

Help define and maintain best practices including: Proactively exploring new technologies and methodologies to guide the technical maturity of the team and develop best practices

Helping define best practices for using Azure for data science at MEC

Helping define best practices for building and deploying generative AI applications

Act as a liaison between the Advanced Analytics team and other technical teams across W.R. Berkley

Act as a project lead, responsible for breaking down projects, setting timelines, providing status updates, and ensuring timely and accurate project execution

Monitor production Advanced Analytics Cloud and Kubernetes applications and ensure they run efficiently and free from error

Mentor junior members, including best practices education and cross-training needed to ensure coverage in case of absences

Qualification

Data analysisMachine learningPredictive modelingSQL programmingPython programmingData engineeringNatural language processingData visualizationDocker applicationsAPIs developmentProject managementInterpersonal skillsTeam collaborationCommunication skills

Required

Bachelor's or Advanced degree in data science, computer science, mathematics, statistics, engineering, physics, or other sciences (or college degree with significant technical experience in a corporate setting)

Education should include significant work in advanced mathematics, statistics, computer science, and/or data science

Requires 4 to 7 years of business experience as a data/software engineer, data scientist, or in a related field

Possesses an intense curiosity and determination to explore and solve complex business problems utilizing data, technology, and analytical techniques

Ability to multitask and manage assigned work under very tight deadlines

Intermediate-to-advanced understanding of a variety of statistical and machine learning algorithms

Intermediate-to-advanced understanding of natural language processing

Intermediate-to-advanced understanding of deploying and scaling analytics solutions

History of following data visualization best practices

History of following coding best practices

Experience in leading projects including breaking projects down into deliverables, setting timelines, documentation, communication, and team coordination

Experience with working with large databases for analytical purposes, including both transactional systems and data warehouse systems

Intermediate-to-advanced level understanding of SQL Databases and the SQL Programming Language – SQL Server / Oracle and including programming in T-SQL or the like

Intermediate-to-advanced level programming experience with Python and/or R

Intermediate-to-advanced understanding of object-oriented programming and design patterns

Intermediate-to-advanced experience building and deploying Docker applications and knowledge of best practices

Intermediate-to-advanced experience building and deploying APIs and knowledge of best practices

Knowledge of information technology practices relating to data engineering, data warehousing, ETL processes, and data mining

Understanding of project management practices and approaches including waterfall and Agile methodologies. Experience with project management software such as Microsoft Team Foundation Server, Jira, etc

Experience with code management (version control) techniques utilizing tools such as Microsoft Team Foundation Server, GitHub, Trello, etc

Excellent listening and interpersonal skills

Experience working in a team-oriented, collaborative environment

Ability to translate very complex subject matter into understandable written and oral communications