Data Scientist Sr

Experience more with a career at COUNTRY Financial!

We’re excited you’re interested in a career at COUNTRY as we strive toward our vision - to enrich lives in the communities we serve. Our footprint spans coast to coast. But more important than where we operate, is the people who do the work. Apply today to help our organization grow and make a difference for our clients.

About the role

Do you have advanced data skills and want to work in a high profile area focused on delivering mission critical data solutions for a wide variety of clients? We might be a good fit for you! COUNTRY Financial is seeking a Senior Data Scientist to join our Information Technology department. This position leads the design, development, and deployment of data-driven solutions to drive innovation and cost reduction for our business and technology partners. The ideal candidate is comfortable working with structured data, writing Spark jobs, and building models to support reporting or automation needs.

Key Responsibilities:

-Build and maintain robust Machine Learning (ML) and Artificial Intelligence (AI) models and deployment environments
-Drive activities with a special focus on model engineering and deployment of code to production workflows
-Work with IT and business stakeholders to understand requirements and translate them into technical solutions
-Develop data pipelines using PySpark and Hive within the Cloudera ecosystem
-Expand the use of AI, Large Language Models (LLM), and Retrieval Augmented Generation (RAG) capabilities
-Build and validate machine learning models for classification, regression, or clustering tasks.
-Write queries and perform analysis on large datasets using Hive and SQL
-Contribute to documentation, testing, and model handoff to ensure stability and maintainability
-Maintain and optimize GitLab templates for efficient workflow automation
-Ensure the scalability and reliability of ML/AI infrastructure
-Monitor and troubleshoot issues related to ML/AI pipelines and deployments
-Stay updated with the latest advancements in machine learning and AI technologies

How does this role make an impact?

- Engages with business to understand business problems to be solved. Helps business frame problems in a way that can be addressed with analytics.
- Performs data mining and transforms raw data into actionable business information.
- Develops and implements data-driven business solutions using advanced statistical methods and machine learning techniques.
- Uses a flexible, analytical approach to design, develop and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Validates model performance using the appropriate standards/error metrics. Manages version control and documentation of data.
- Develops and produces supervised and unsupervised machine learning, forecasting and optimization. #LI-Corp

Do you have what we're looking for?

• Typically requires 7+ years of relevant experience or a combination of related experience, education and training.

• Proven experience as a Machine Learning Engineer or similar role

• Proficiency in managing and maintaining ML/AI development and deployment environments 

• Experience with AI Engineering and Architecture

• Understanding and experience with Cloud-based Infrastructure

• Proficiency in Python and SQL

• Recent experience working with vendors on build and delivery of data models/AI solutions

• Experience with PySpark, Hive, and the Cloudera platform

• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)

• Familiarity with machine learning workflows using scikit-learn or similar libraries

• Strong attention to detail and ability to follow established IT processes

• Strong knowledge of GitLab and experience in maintaining CI/CD pipelines

• Proficiency in data engineering and ETL processes

• Experience with cloud platforms such as Azure, AWS, or Google Cloud

• Knowledge of DevOps practices and tools

• Understanding of version control and CI/CD processes (ex: GitLab CI)

• Familiarity with Jupyter Notebooks and dashboarding tools (ex: Tableau)

• Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch)

• Excellent problem-solving skills and attention to detail

• Strong communication and collaboration skills

• Prior experience working in insurance or regulated environments

Base Pay Range:

$108,800-$149,600

The base pay range represents the typical range of potential salary offers for candidates hired. Factors used to determine your actual salary include your specific skills, qualifications and experience.

Incentive Pay:

In addition to base salary, this position is eligible for a Short-Term Incentive plan.

Why work with us?

Our employees and representatives serve nearly one million households with our diverse range of personal and business insurance products as well as retirement and investment services. We build relationships and work together to create a stronger, more secure future for our clients and our communities. We’re a big company, yet small enough you can make an impact and won’t get lost in the shuffle. You’ll have the opportunity to learn and grow throughout your career, either within this role or by exploring other areas of our business.

You’ll be able to take advantage of our benefits package, which includes insurance benefits (medical, dental, vision, disability, and life), 401(k) with company match.

COUNTRY Financial is committed to providing equal opportunity in all areas of employment, and in providing employees with a work environment free of discrimination and harassment. Employment decisions are made without regard to race, color, religion, age, gender, sexual orientation, veteran status, national origin, disability, or any other status protected by applicable laws or regulations.

Come join our team at COUNTRY today!