Research Data Scientist

Northeastern University • Portland, ME

118d • $86,490 - $122,163

About The Position

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.

Requirements

• Graduate degree (Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines.
• 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.
• 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.

Nice To Haves

• 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.

Responsibilities

• Assisting technical solutioning using latest research.
• Technical delivery of projects by defining tasks.
• Providing contributions (architecting, coding, scaling, and deploying).
• Conducting experiments and synthesizing results.
• Serving as a technical representative in internal and external meetings.
• Supporting in developing technical stack (e.g., datasets, infrastructure) for execution on projects.

Benefits

• Medical insurance
• Vision insurance
• Dental insurance
• Paid time off
• Tuition assistance
• Wellness & life benefits
• Retirement benefits
• Commuting & transportation benefits

What This Job Offers

• Career Level: Entry Level
• Education Level: Master's degree