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Midwest Employers Casualty (a Berkley Company) · 1 month ago

Data Science Engineer

Chesterfield, MO

Full-time

Onsite

New Grad, Entry, Mid Level

0+ years exp

Midwest Employers Casualty (MEC) is a Fortune 500 company focused on improving the quality of life for employees injured on the job. The Data Science Engineer will leverage substantial data assets to deliver actionable business insights using analytics, predictive models, and machine learning, while supporting application infrastructure and collaborating with internal and external customers.

Employee BenefitsFinancial ServicesInsuranceLife Insurance

Diversity & Inclusion

Responsibilities

Deliver high-quality code, predictive models, data analysis, and data visualizations using best practices

Assist with analytical solution development, testing, and deployment

Assist with model development, testing, and deployment

Service the data needs of customers by providing analysis, reports, dashboards, and/or electronic files

Analyze internal and external data to explore business problems and document findings

Act as a liaison between the Advanced Analytics Team and other departments

Actively assist with project management and project execution

Qualification

Data ScienceMachine LearningSQL DatabasesPythonData VisualizationProject ManagementMultitaskingCuriosityInterpersonal Skills

Required

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

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

Requires 0 to 3 years of business experience as a data/software/machine learning engineer, data scientist, or in a related field

Beginner-to-intermediate level understanding of SQL Databases (SQL Server, Oracle, Databricks, etc.) and the SQL Programming Language (T-SQL, PL/SQL, SparkSQL, etc.)

Experience with working with large databases for analytical purposes. This would include both transactional systems and data warehouse systems

Beginner-to-intermediate level programming experience with Python

Knowledge of coding best practices

Knowledge of object-oriented programming and design patterns

Experience building AI solutions using Large Language Models such as ChatGPT, including RAG systems, Agents, and/or automated workflows

Experience with a variety of statistical and machine learning algorithms including classification and regression modeling, deep learning, and ensemble methods

Knowledge of data visualization best practices

Can take high-level project requirements and formulate timelines, milestones, and tasks as part of project execution and provide accurate project status reports to management

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

Understanding of project management practices and approaches including Agile methodologies

Experience with project management software such as Jira, Trello, etc

Experience with code management (version control) techniques utilizing tools such as BitBucket, GitHub, etc

Excellent listening and interpersonal skills

Ability to multitask and manage assigned work under tight deadlines

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

Experience working in a team-oriented, collaborative environment

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

Preferred

Experience with cloud computing ecosystems such as Microsoft Azure a plus

Experience with Databricks a plus

Experience with CI/CD frameworks such as Jenkins or GitHub workflows a plus

Experience with UNIX and Docker/Kubernetes a plus

Company

Midwest Employers Casualty (a Berkley Company)

Midwest Employers Casualty (MEC) is exclusively focused on tailored workers’ compensation excess insurance products that meet the unique needs of individual employers, groups and insurance companies, nationwide.

Chesterfield, Missouri, USA

201-500 employees