Data Scientist

COUNTRY Financial; United States; On-site; USD 110,000 - 151,000; Full time

Benefits offered by this job

Short-Term Incentive plan

Job summary

COUNTRY Financial is seeking a senior analytics professional to develop and analyze business cases for analytic opportunities. You will build, test, validate and maintain predictive models, and apply statistical methods to solve complex business problems.

In this role you will engage with the business, mine data, and design ML-driven solutions that extract value while ensuring robust model validation and documentation for stakeholders across the company.

Qualifications

• 7+ years of relevant analytics experience or an equivalent combination.

Responsibilities

• Engages with business to understand analytics problems and frame them for modeling.
• Develops and implements predictive models using ML techniques.
• Validates model performance with appropriate metrics and documents results.
• Provides data-driven insights and recommendations to stakeholders.

Skills

Data mining

Analytics framing

Predictive modeling

Statistical methods

Machine learning

Model validation

Job description

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.

About the role

Develops and analyzes business cases for analytic opportunities. Provides technical and quantitative support to build, test, validate and maintain predictive models. Analyzes business data to provide insight and recommendations. Applies statistical methods to formulate solutions to complex business problems.

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.

Do you have what we’re looking for?

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

_ This position is part of a job family. Placement will be determined by skills and qualifications of the candidate. _

Base Pay Range:

$110,000-$151,250

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.