Company Overview: DiversityPolicy.com will serve as a shared resource of all diversity policy in higher education and publicly traded companies, all in one place. The site is a content aggregator and search query in development (prototype is fully functional), which will be powered by text mining technology and learning algorithms. This is an early iteration of what will eventually become a multifaceted automation software system (i.e., artificial intelligence) aimed at curating content for users interested in inclusivity and cultural excellence.
Along with annotations and peer reviews of diversity policy, the site will provide an easily navigable and perpetually growing citable guide to advance equal opportunity, inclusiveness, safety, and equity. This utility and cache of information will create opportunities for developing content analyses, frequency analyses, and statistical analyses that better informs universities of trends, developments, discrepancies, policy gaps, and opportunities to advance critical policy.
To support the DiversityPolicy data team, we are looking for a passionate, innovative, and capable Software Engineer who is able to use programming language (e.g. Python, Java) to automate the data Software Engineer at Diversity Policy , you will be responsible for designing, developing, and maintaining pipelines that create search indexes out of data from large databases. You will design and implement efficient algorithms for ranking policy pertaining to Higher Education search results. You will develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help policy makers.
- Develop a policy search engine using Django and Python
- Experience with overseeing the gathering of requirements and identification of appropriate data sources to address the specific requirements of projects for monitoring, characterization, analysis, and modeling
- Categorizing, cleaning and normalizing of structured and unstructured data
- Knowledge of databases (e.g., MySQL, Oracle, PostgreSQL, DB2, etc.), SQL;
- Experience designing, developing, and maintaining pipelines that create search indexes out of data from large databases
Interns will NOT be tasked with sales or anything involving financial transactions from clientele, users, or other form of purchasing. Interns will have access to a product manager and Dr. Chicotsky (the project’s founder) to explore, discuss, brainstorm, inquire, or develop all aspects and functions of their work. Dr. Chicotsky prioritizes communication and accessibility to interns to identify opportunities to provide helpful insight and direction.
Impact of Your Work: Diversity Policy’s functionality will eventually apply to policy impacting other areas of higher education and the broader market of public equities. The team’s long-term objectives include building systems for artificial intelligence and machine learning with the datasets compiled in our backend system.
Internship Duration and Weekly Requirement: 15 hours per week; 4 months for undergrads; 20 hours per week; 4 months for masters students.
yy The position is part-time, which involves some collaboration with a small and motivated team. Together, the team will contribute to a search engine in development that will allow users to access and compare policy from thousands of universities and companies (beginning in the U.S., and eventually expanding internationally). The website is being developed using the Python-based Django web framework.
Weekly Schedule: Interns will be responsible for a set amount of hours each week (5-hours per week) to fulfill tasks. You will initially be paired with a product manager to guide the project. Back-end developers will meet with a team once-per-week and complete tasks on hours set thereafter.
Benefits of Interning: Depending on the projects selected during your internship, you may select from the following titles: “Coding Associate,” “Data Manager,” or “Data Policy Analyst.” Upon completing a successful internship, Dr. Chicotsky will serve as a professional reference and advocate for interns. Internship durations may be set by university partners providing academic credit (you are encouraged to explore these options within your institution; however, academic credit is not required to intern with Diversity Policy). If obtaining academic credit, the hour restrictions, payment restrictions, and other work-related matters are guided by university provisions.
Preferred [but not required] Qualifications: Coding Analyst interns may come from various majors which might include computer science, computer engineering, software development, predictive analytics, information systems, or other technical studies conducive to building and studying coding. Students familiar with object-oriented programming, the MVC or MVT design pattern, back-end web frameworks, and databases are encouraged to apply.