Overview: Management Science Associates, Inc. (MSA) is a diversified information management company that for nearly half a century has given market leaders the competitive edge in data management, analytics and technology. We are currently seeking a Data Science Specialist (Intern) to work within MSA’s Corporate Business Development Group which works with market-leading client companies to address their most challenging business issues and opportunities. If you’re a highly talented, creative analyst looking to rapidly advance your skills and career, MSA has an opportunity for you. Our business is applying data and analytics in innovative ways to solve complex problems, often inventing tools and technology that become industry-standard solutions. You’ll work with leading technology and business experts in their respective fields, both within MSA and our clients. Because of the diversity of MSA businesses and clients, you’ll gain highly valuable experience in a number of global industries deploying leading customer-focused analytics, such as consumer products, retailing, pharmaceuticals, healthcare, media, and others. Join our team to contribute to creating these leading practices.
Develop predictive and prescriptive models, and perform data mining on very large data sets using machine learning techniques
Test and debug analytical code. Resolve unexpected problems resulting from unusual data and from limitations inherent in software applications and data processing resources.
Create visualizations for presentations to business users
Conduct independent and collaborative analytical work on client projects led by higher-level team members
Bachelor's degree in computer science, statistics, mathematics, physics, or related discipline that includes statistics, machine learning and advanced computational concepts and techniques
Exposure to Data Science methods, tools and software. Some experience, classroom or real-world, with languages such as R or Python
Exposure to one or more commonly used machine learning libraries such as those found in R, Python's scikit-learn or Spark's MLlib
Experience with one or more programming languages such as Java, C#, C++, Scala, etc., scripting languages such as Python or Perl and visualization tools such as Tableau
Exposure to relational database technologies and SQL
Strong work ethic and commitment to getting the job done
Accepting of change and uncertainty
Ability to take direction and specifications and create machine learning or artificial intelligence (AI) applications quickly, efficiently
Ability to troubleshoot and solve routine problems and issues as they occur in the development of software and systems
Ability to learn and utilize new languages, tools and techniques
High quality of work and attention to detail with good organizational ability