Position Description Software Engineer Intern - Machine Learning Location US-PA, Pittsburgh (World Headquarters) Job Code 968 Apply Now At DDI we are committed to igniting positive change in people, workplaces, and communities around the world through our leadership solutions and global team of engaged associates. That means, to work here, means something. It means a culture that emphasizes collaboration, teamwork, and service to help our clients succeed. It means job satisfaction, professional growth, and development really matter here. And, it means we place a high priority on work-life balance and making a difference where we live and work. If you're ready to invest your talent and workdays with an award-winning employer that will provide much more than just career opportunities, DDI is the place for you! DDIs Product Development group is seeking interns who can leverage machine learning and natural language processing techniques in a large, complex, dynamic, data-driven environment. A well-qualified candidate is a self-starter who is highly technical, excels at framing problems analytically, one who is comfortable working through ambiguity, and possesses the patience and persistence needed to see complex problems through to resolution. The candidate must be an excellent collaborator and able to present insights and describe complex ideas accurately and concisely. Responsibilities Partner effectively with software engineers & industrial/organizational psychologists and analysts to analyze structured and unstructured data. Design and produce predictive models in the context of DDIs products and services Collaborate with software engineers to experiment with novel sources of big data. Qualifications (These are the minimum qualifications you need to be considered for the job) Pursuing a degree in Data Science, Computer Science or Masters in Machine Learning Proficiency in SPSS, R, and Excel; Python and SQL experience a plus Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams. Strong attention to detail and commitment to accuracy A team player with strong collaboration and interpersonal skills A self-starter who takes initiative to experiment and improve existing products and processes A programming background is a plus.