Associate Data Scientist

Brotherhood Mutual Careers • Fort Wayne, IN

1d • Onsite

About The Position

Responsible for executing the collection, storage, interpretation, and visualization of data for financial, business, and analytical solutions that help the organization achieve its long-term goals and objectives.

Requirements

• Demonstrate strong technical and analytical abilities.
• Possess fluency in statistical programming in a language such as R or Python.
• Demonstrate proficiency with data mining, mathematics, statistical analysis, and predictive modeling.
• Able to look at things differently, debug, troubleshoot, design, and implement solutions to complex technical issues.
• Effectively interface with external contacts, Brotherhood employees, managers, and department staff members.
• Must have a Bachelor’s degree in Data Science, Computer Science, Statistics, or related discipline.
• Must have previous experience with Excel, SQL, and statistical programming languages (i.e. Python, R, SAS).

Nice To Haves

• One to three years of experience in Data Science related role is desired.
• Exposure to and understanding of the insurance industry is desired.
• Familiarity with church operations and conduct oneself in a manner that will neither alienate nor offend persons within this target niche.

Responsibilities

• Analyze statistical data on large sets and identify trends by using advanced mathematical and computer science skills.
• Execute the production of statistical models, tools, and processes.
• Write programs to cleanse and integrate structured and unstructured data in an efficient and reusable manner.
• Evaluate modelling results and communicate the results to technical and non-technical audiences.
• Work with actuaries, analysts, and other stakeholders directly or indirectly to provide data, reporting, advanced analysis, and insights.
• Perform deep dives into a varying array of data sources, determining the appropriate data for the analysis to be performed, identifying potential uses, and preparing for analysis.
• Complete other projects as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level