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Kemper

Data Scientist

Posted 19 Days Ago
Remote
8 Locations
Mid level
Remote
8 Locations
Mid level
The Data Scientist at Kemper will design and develop analytical solutions, automate processes, and communicate project progress, requiring expertise in data science methodologies and Python.
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Location(s)

Alpharetta, Georgia, Birmingham, Alabama, Dallas, Texas, Downers Grove, Illinois, Jacksonville, Florida, Remote-CT, Remote-FL, Remote-TX

Details

Kemper is one of the nation’s leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper’s products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises

Data Science is a driver of significant competitive advantage for Kemper and is critical to the organization’s success. As a member of the Kemper Auto Data Science team, this position is responsible for building and developing analytical solutions, especially in updating existing solutions.

Responsibilities:

  • Independently designs and develops analytical solutions.
  • Develops and automates processes that can be deployed throughout the organization to solve reoccurring analytics needs.
  • Communicates project progress and challenges to the working team.
  • Develops database, technical, and business knowledge.

Qualifications:

  • Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 2-4 years of experience working in a data science/analytics environment.
  • PhD in Mathematics, Statistics, Engineering, or other STEM field with related industry experience preferred.
  • Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, matplotlib, etc.).
  • Proficiency and experience with several modeling techniques such as generalized linear models, decision trees, ensemble learning, regularized models (ridge/lasso/nets), clustering, and neural networks.
  • Some experience with natural language processing is preferred.
  • Prior experience working with imbalanced datasets and AWS is a plus.
  • Ability to work with various data formats. This includes relational databases (especially), delimited text files, data frames, and JSONs.
  • Excellent overall communication skills, particularly possessing the ability to translate technical results for wide audiences.

The range for this position is $90300 to $150400. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors.  This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)   

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination.  
 

Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee. 
Kemper will never request personal information, such as your social security number or banking information, via text or email.  Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates.  If you receive such a message, delete it.  

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Top Skills

AWS
Matplotlib
Natural Language Processing
Numpy
Pandas
Python
Scikit-Learn
Scipy

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