Lead 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. 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

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:
Education & Experience:
• Master’s degree in Computer Science, Engineering, Mathematics, Statistics or similar disciplines and 8 or more years of professional experience, or can convincingly demonstrate this level of skill.

• Experience managing technical staff in the completion of projects

• Experience communicating to technical and non-technical stakeholders and translating business problems into technical specifications

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.

• Proficiency with deep learning frameworks such as PyTorch or TensorFlow.
• 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 with 10 or more years professional experience
• Experience with distributed data systems such as Apache Spark.
• Expertise in analyzing large, complex, multi-dimensional datasets with a variety of tools.

• Expertise in hypothesis testing, 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.

• Management of a team of 3 or more technical staff

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 com