Data Science Engineer

Company Details

Why MEC?

At Midwest Employers Casualty (MEC), we combine the stability of a Fortune 500 company with the agility of an innovative team. We are passionate about improving the quality of life for employees severely injured on the job and helping companies understand and mitigate risk. Our culture values collaboration, curiosity, and continuous learning. If you want to make an impact, work on meaningful projects, and grow your career in a supportive environment, MEC is the place for you.

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As a Data Science Engineer
, you will focus on leveraging the company’s substantial data assets to deliver actionable and meaningful business insights using analytics, predictive models, machine learning, and artificial intelligence. The ideal candidate will possess a strong technological background with entry-to-mid-level expertise in data analysis, data engineering, building (and deploying) predictive models. We are looking for a highly motivated individual with the ability to help us deliver next-generation analytical products to our internal and external business partners.

This position requires supporting our application infrastructure, writing code, analyzing data, creating models, creating ad hoc apps/reports/dashboards, building automated workflow, working with both internal and external customers, and participating in project management and execution.

The Advanced Analytics team members are passionate about continuous learning and turning that knowledge into cutting-edge analytical solutions. We strive to deliver innovative analytical tools that generate tangible business results.

Key functions include but are not limited to:

• 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

• 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, Spark
  
  SQL, 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 Bit Bucket, Git Hub, etc.
• 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 Git Hub workflows a plus.
• Experience with UNIX and Docker/Kubernetes a plus.
• 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.

We do not accept any unsolicited resumes from external recruiting agencies or firms. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills,…