Nasdaq recently launched a full-time Fellowship Program, focused on Data Science and Machine Learning.Open to upcoming + recent graduates interested in doing a 6-12 month Fellowship (full-time, or at least 20 hours/week). Fellows will receive full-time salaries for the duration of the Fellowship. Fellows will work on strategic new initiatives at the forefront of Data Science, Machine Learning, and FinTech – collaborating with Nasdaq technology experts, business leaders, and customers. Note: As permanent positions open up, there is the potential for fellows to transition to a full-time permanent job.Location: Nasdaq’s Boston-based Machine Intelligence Lab.Skills desired:Knowledge of multivariate statistics, modeling, decision theory, and machine learningAbility to appropriately select and apply quantitative analysis techniques to answer complex questionsProficiency with Python, R, SQLFamiliarity with object-oriented programmingFamiliarity with data visualization techniquesRequirements:Preference given to upcoming + recent graduates, and current Postdocs with degrees in Data Analytics, Computer Science, Mathematics, and Computational Biology, though all majors will be considered.Able to commit at least 6 months full-time. Postdoc should be able to commit at least 20 hours/week.Note: The program is funded through December, 2021, with the likelihood the program will also be funded through December, 2022. If so, the Fellowship can continue into 2022.How to Apply: Via Handshake OR send resume/cover letter to: email@example.comAs the selection and interview process is ongoing, please submit your application as soon as possible.Nasdaq is an equal opportunity employer. Applicants and employees are treated without regard to race, color, religion, creed, gender, national origin, age, disability, marital or veteran status, sexual orientation, or any other legally protected status.