Data Scientist

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 for decades to come. Led by Dr. Usama Fayyad, the Institute for Experiential AI (EAI)
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 and prosperous.
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.

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

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 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:

Education & Experience:
• Graduate degree (Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar
disciplines and two or more years of professional experience, or can convincingly demonstrate this level of
skill.
• Experience assisting technical staff in the completion of projects.
• Experience communicating with technical and non-technical stakeholders and translating business
problems into technical specifications.

Knowledge, Skills, and Abilities:
• Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.
• Professional experience developing machine learning solutions and applying them in real-world scenarios.
• Proficiency with machine learning frameworks and pipelines in SKLearn, Numpy, Pandas, and PyTorch.
• Proficiency with deep learning frameworks such as PyTorch, TensorFlow, LangChain, HuggingFace,
axolotl.
• Knowledge of and ability to select, adapt, and effectively use large AI foundational models.
• Professional experience developing solutions using NLP, computer vision, or forecasting.
• Proficiency with statistical computer languages such as Python or R.
• Proficiency with relational database systems (SQL) and object-based data stores.
• Ability to define and solve logical problems for technical applications.
• Knowledge of and ability to select, adapt, and effectively use various programming methods.

Preferred Experience:
• Knowledge of and ability to select, adapt, and effectively use large AI foundational models.
• Experience with distributed data systems such as Apache Spark.
• Expertise in analyzing large, complex, multi-dimensional datasets with various tools.
• Expertise in hypothesis testing and AB testing.
• Proficiency in Linux and version control software (git).
• Familiarity with Object-oriented programming languages such as Python, 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 collaborate 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 mindset with an ability to navigate complex structures and processes

Key Responsibilities & Accountabilities

● Assisting technical delivery of projects by defining technical tasks, providing
technical contributions (Architecting and coding), and synthesizing results
● Serve as a technical representative in internal and external meetings
● Support in developing technical stack (e.g., datasets, infrastructure) for execution on
projects

Position Type

Research

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.  

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more 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.