You’re curious about why things are the way they are, and you want data to back up your conclusions.  So do we, and that’s why we need you. 

As a Data Science Intern, you’ll help use data in multiple formats to help us solve business problems.  You’ll use advanced statistical and machine learning methods, as well as programming skills and knowledge of technical infrastructure to help us sift through the data to find the best way forward.  You’ll be part of a team of curious minds who want to know the how and why of the world and come up with solutions that work.  

WHAT WE CAN OFFER YOU:

• Hourly Wage: $30.00-39.00
• 401(k) plan with a 2% company contribution and 6% company match.
• Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.

WHAT YOU'LL DO:

• You will collaborate with business partners to understand business objectives/goals, then develop a clear and well-defined analytic plan that supports obtaining those objectives.
• Perform data extraction and data manipulation.
• Develop trusted, actionable outcomes by applying appropriate analytical techniques and metrics. 
• Perform predictive modeling and association modeling such as segmentation analysis, data modeling, risk modeling, behavioral analysis, cross-selling analysis, and customer churn analysis.
• You will communicate clear outcomes at varying levels of detail. 

WHAT YOU’LL BRING:

• Pursuing PhD in analytically driven fields such as artificial intelligence, mathematics, statistics, physics, economics, data science, computer engineering, computer science, operations research or actuarial science 
• Proficient at SQL and/or NoSQL to gather data from source systems. 
• Proficient in one of more computer programming languages, of which at least one must be Python. 
• Experience with Bayesian methods, causal inference, time series analysis, and machine learning algorithms.
• Thorough proficiency in data visualization and knowledge of structured and unstructured data platforms. 
• You promote a culture of diversity and inclusion, value different ideas and opinions, and listen courageously, remaining curious in all that you do.
• Able to work remotely with access to a high-speed internet connection and located in the United States or Puerto Rico.

PREFERRED:

• Strong foundation in statistical modeling, econometrics, predictive analytics, preferably with coursework or research in Marketing Mix Models (MMM) and Customer Lifetime Value (CLTV). 
• Advanced research or industry experience in media attribution, marketing analytics, or customer segmentation strategies is preferred.  

We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply! 

If you have questions about your application or the hiring process, email our Talent Acquisition area at careers@mutualofomaha.com. Please allow at least one week from time of applying if you are checking on the status.

Fair Chance Notices