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 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 Key Responsibilities & Accountabilities 30% Management of AI and data science staff in the Solutions Hub team Overseeing co-op recruitment, hiring and development Support recruitment and development of technical talent 40% Interface with research and business stakeholders to develop partnerships and statements of work Lead delivery of projects by defining technical tasks, providing technical contributions and synthesizing results Serve as technical representative in internal and external meetings Support in developing technical stack (e.g. datasets, infrastructure) for execution on projects 20% Supporting management of vendor involvement in projects Track project health/performance Support development and pricing of Solutions Hub projects Position Type Data Planning and Analysis 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. Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact.    Our global university system provides our community and academic, government, and industry partners with unique opportunities to think locally and act globally. The system—which includes 14 campuses across the U.S., U.K., and Canada, 300,000-plus alumni, and 3,000 partners worldwide—serves as a platform for scaling ideas, talent, and solutions. The university’s residential campuses for undergraduate and graduate degrees are located in Boston, London, and Oakland, California. Our research and graduate campuses are in the Massachusetts communities of Burlington and Nahant; Arlington, Virginia; Charlotte, North Carolina; Miami; Portland, Maine; Seattle; Silicon Valley, California; Toronto; and Vancouver. Northeastern’s personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment. Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectors—aligned around solving today’s highly interconnected global challenges and focused on transformative impact for humankind.