Lead Data Scientist

Employer
Northeastern University
Location
Massachusetts, United States
Salary
Salary Not specified
Closing date
Sep 22, 2021

View more

Position Type
Administrative, Business & Administrative Affairs, Computer Services & Information Technology
Employment Level
Administrative
Employment Type
Full Time

Job Details



Lead Data Scientist

About Northeastern:
Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.

Our locations—in Boston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; and the Massachusetts communities of Burlington and Nahant—are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research.

Northeastern's comprehensive array of undergraduate and graduate programs— in a variety of on-campus and online formats—lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than 195 multi-discipline majors and degrees designed to prepare students for purposeful lives and careers.

About the Opportunity:
Northeastern University is advancing its next generation of experiential learning. Through the development of a dynamic, personalized experiential learning engine that ensures learning experiences that are guided towards employability, we aim to equip all university learners (inclusive of both for-credit and non-credit settings) with a differentiated and integrative learning experience no matter their learning path, modality, or location.

To execute on this vision, we seek a seasoned data scientist who will be responsible for conducting labor market research, modeling complex problems, and discovering insights through the use of advanced statistical, algorithmic, data mining and visualization techniques in order to contribute to the selection of market relevant learning products and high quality learning experiences with meaningful outcomes - for both the learner as well as our network of partners.

This team member will be part of a multidisciplinary team and will be called upon to interpret data, trends, and algorithms for broad audiences, communicate with multiple stakeholders to enable data-driven decision-making, and play a key role in the development of data rich features.

Responsibilities:
This team member will be part of a multidisciplinary team and will be called upon to interpret data, trends, and algorithms for broad audiences, communicate with multiple stakeholders to enable data-driven decision-making, and play a key role in the development of data rich features.

Qualifications:
  • Master's in computational science or equivalent; Ph.D. in a computational science or equivalent with an emphasis in Machine Learning or Data Science strongly preferred; preference for fields of study in data science, economics, statistics, and social sciences.
  • 2+ years of hands-on development experience writing production quality code
  • 3+ years of expertise with the Microsoft suite (including advanced Excel skills with embedded Pivot Tables & Macros; advanced PowerPoint usage)
  • 2+ years of experience with predictive analytics and BI tools, including at least two applications from R / Revo R, SAS, Python, Spark, Tableau, or similar technologies
  • 2+ years of experience working with big data technologies and data management tools such as Hadoop, SQL, or Informatica.
  • Experience with analytics projects in the following areas: Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations, Digital, Marketing Intelligence & Competitive Analysis
  • Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical mixed models/multilevel modeling
  • A blend of consulting expertise and analytical capabilities that creates value.
  • Project management, time management and communication skills necessary to execute the responsibilities in a collaborative, academic setting
  • Teamwork and collaboration in a professional setting.
  • Excellent written and oral communication skills with ability to advise, and clearly communicate ideas and results to non-technical audiences


Preferred Qualifications:


Salary Grade:
14

Additional Information:
Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

To learn more about Northeastern University's commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.



To apply, visit https://careers.pageuppeople.com/879/cw/en-us/job/507192

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