Data Science Engineer
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Job Location:
Chesterfield, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
Responsibilities
As a Data Science Engineer you will focus on leveraging the companys 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
Qualifications
- Bachelors 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.
- 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.
- 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.
Additional Company Details
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 education training credentials and experience of the candidate; and other conditions of employment.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Berkley is a leader in commercial lines insurance, with over 60+ specialized businesses - each with deep expertise in an industry, product, or regional niche.
