Professor Klaus Schulten collaborator in giant screen film "Birth of Planet Earth", 2019

4/10/2019 12:41:15 PM CPLC Staff

1/31/2014 Aunalytics

Data Scientist

Location: South Bend, In

Type: Full-time

aunalytics, Inc. is looking for a data science intern with a solid background in data mining, user interface design, or databases. Of course, you must love to code and love data.

Who We Are:

The science of analytics is impacting hundreds of industries and applications by helping organizations to increase revenue, decrease expenses, reduce risk, or improve productivity. aunalytics is a funded and exciting start-up innovating and delivering on next generation tools and solutions for analytics. Our environment is fast-paced, growing, and dynamic.

Aunalytics is looking for talented, enthusiastic candidates to join our team. We are an exciting Silicon Valley tupe environment delivering high-powered analytics to local small to mid-sized businesses. Data scientists at Aunalyitcs are building the next generation analytics platform and are rapidly solving clients' problems.

As a member of the Data Science team, you will be responsible for applying exciting methodologies to help solve real-worl client problems and guiding development of applications to leverage our expertise. Our solutions are at the bleeding edge of Data Science, and Aunalytics offers an exciting, collaborative environment to engage on some of the greatest challengs facing businesses today.

Preferred Skills:

  • Currently enrolled in a B.S., M.S. or PhD in Computer Science, Statistics, Physical Sciences, Operations, Research, Engineering, Mathematics or related quantitative fields
  • Programming environment and languages such as: Node.js, Python, R, Javascript
  • Prior experience working with large datasets
  • Strong working knowledge of data mining methodologies, including some of linear regression, clusterin, decision trees, market basket analysis, graph clustering, and link prediction
  • Data Visualization skills are a plus
  • Creativity to apply concepts to real world problems
  • Ability to learn quickly in a fast-paced environment with a frequently demanding schedule
  • Excellent verbal and written communication skilsl
  • Ability to work in a collaborative environment
  • Inquisitiveness and an eagerness to learn nwe technologies and appyl concepts to real world problems

What's in it for you?

  • Competitive salary
  • Opportunity to work with cutting edge technologies and teh best and brightest data scientists
  • Opportunity to work in a fun, casual environment with top researchers and thought leaders in the analytics field
  • Chance to work with a rapidly exapnding company

To Apply:

Please email your resume to Mary Jo Ogren at