Senior Data Science Engineer
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Job Location:
Chesterfield, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
21 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 Senior Data Science Engineer youll leverage our extensive data assets to deliver actionable insights and next-generation analytical products. Youll work at the intersection of data engineering machine learning and AI helping us build solutions that drive measurable business impact.
This role combines hands-on technical work with project leadership and mentorship responsibilities. Youll design and improve application infrastructure write production-quality code support predictive modeling and lead cross-functional projects. If youre passionate about building scalable analytics solutions and mentoring others we want to hear from you.
- Develop and deliver high-quality code data analysis and visualizations using best practices.
- Lead projects to automate analytical workflows and deploy predictive models.
- Engineer solutions for model development testing and deployment.
- Collaborate with Sr. Data Scientist to update or train new predictive models.
- Collaborate with internal and external stakeholders to provide analysis reports and data products.
- Define and maintain best practices for:
- Using Azure and Databricks for data science.
- Building and deploying generative AI applications
- Act as a liaison between Advanced Analytics and other technical teams across W.R. Berkley.
- Serve as a project lead managing timelines deliverables and communication.
- Monitor production applications in Cloud and Kubernetes environments for performance and reliability.
- Mentor junior team members and promote knowledge sharing.
Qualifications
- 47 years in data science software/ML engineering or related roles.
- 13 years building solutions with generative AI models.
- 13 years developing AI solutions in Azure and/or Databricks.
- Proficiency in SQL Python and Version control tools (GitHub Bitbucket).
- Strong understanding of:
- Statistical and machine learning algorithms.
- Natural Language Processing (NLP).
- Deploying and scaling analytics solutions.
- Familiarity with:
- ETL processes data engineering and data mining.
- Large-scale databases and data warehouses.
- Docker and API development.
- Strong grasp of data visualization best practices.
- History of leading technical projects using agile methodologies
- Ability to communicate complex concepts clearly.
- Curious self-motivated analytical and driven to solve complex business problems.
- Ability to manage multiple priorities under tight deadlines.
- Bachelors or Advanced degrees in data science computer science mathematics statistics engineering physics or other sciences (or college degree with significant technical experience in a corporate setting).
- Strong background in advanced mathematics statistics computer science and/or data science.
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.
Sponsorship Details
Required Experience:
Senior IC
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.
