Senior Data Scientist

Senior 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:
About the Institute
Do you want to be part of an exciting new Institute focused on the fusion of human and machine intelligence into working AI solutions?

We are launching a pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate. Led by Dr. Usama Fayyad, the Institute for Experiential AI (IEAI) is built around the challenges and opportunities made possible by human-machine collaboration. The institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable. Located in Portland, Maine, with the goal of growing the Maine tech economy, the Roux Institute will be a center of activity for the Institute's efforts.

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.

This role collaborates with researchers and data scientists from various fields including Applied Analytics, Bioinformatics, Biotechnology, Computer Science, Cybersecurity, Genomics, Health Data Analytics, Law & ethics, Neuroscience and Therapeutics discovery. General research and interpersonal skills are especially valued. We are building a new team together to deliver the true promise of AI, which lies at the intersection of humans and intelligent machines

The Culture:
Here at the Institute of Experiential AI (IEAI) we are committed to the highest of standards in all that we do. Working at the Institute of Experiential AI offers opportunities, an environment, a culture that just aren't found together anywhere else. This is the right place for you if you're curious, motivated by the future of technology and want to be part of a unique community that works on high-impact business and societal problems

Responsibilities:
Summary:
This position supports the Institute in delivering data science and AI projects and expertise to its industry partners and researchers. Assist in delivering data science and AI courses and professional development programs to learners from across the University and industry. Help build AI products that will solve the most-pressing issues for organizations including Responsible AI. Be part of a fast-growing team that will develop and maintain a cutting-edge data platform, acquire data sets for research and education purposes and use data science strategically to support the Institute's mission.

Qualifications:
MINIMUM REQUIREMENTS:

Education & Experience:
Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics or similar disciplines and 5 or more years of professional experience, or can convincingly demonstrate this level of skill.

Knowledge, Skills and Abilities:

• Proficiency with statistical computer languages such as Python or R.
  
• Proficiency with relational database systems (SQL) and object-based data stores.
  
• Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.
  
• Professional experience with developing machine learning solutions and applying them in real-world scenarios.
  
• Proficient in Git and version control.
  
• Ability to define and solve logical problems for technical applications.
  
• Knowledge of and ability to select, adapt, and effectively use a variety of programming methods.
  
  Preferred Experience:
  
• Master's degree in Computer Science, Mathematics, or Artificial Intelligence.
  
• Experience with distributed data systems such as Apache Hadoop.
  
• Expertise in analyzing large, complex, multi-dimensional datasets with a variety of tools.
  
• Proficiency in Linux and version control software (git).
  
• Familiarity with Object Oriented programming languages such as Java, C# or C++.
  
• Familiarity with Agile / Scrum development practices.
  
  Values & Abilities:
  
• Aptitude to independently learn new technologies, prototype and propose software design and solutions.
  
• Excellent verbal and written communication skills.
  
• Drive to learn new technologies, statistical methods and data manipulation techniques.
  
• Ability to communicate effectively across academia and industry.
  
• Team-player who can collaborative effectively across many teams within the University.
  
• Open-minded and assertive when collaborating and working within our team and with other groups within Northeastern University.
  
• Entrepreneurial mind-set with an ability to navigate complex structures and processes.
  
  Salary Grade:
  Salary commensurate with experience
  
  Additional Information:
  Northeastern University, along with offering comprehensive health benefits and insurance programs, provides a generous tuition benefit allowing full-time benefits-eligible faculty and staff nine credit hours of tuition per academic term. Further information on the tuition benefit can be found here.
  
  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/506970
  
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