Senior Data Scientist Job at HBS (Boston)

Senior Data Scientist

HBS

Location:
United States , Boston

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

As a Senior Data Scientist, you will be a key member of the HBS AI Institute's Data Science Team, working closely with Harvard Business School (HBS) faculty and researchers on research projects in the social sciences related to business and management, digital transformation, data science and artificial intelligence. Specifically, you will be working with HBS faculty to leverage AI and investigate its implications for business and society through experimental research. You will also play a role in developing and disseminating ML and AI-based tools for the research community. Because you will act as an expert guide and resource for researchers with a wide range of abilities and knowledge relating to data methodologies and emerging technologies, a substantial component of the role is effective communication about technologies. Additionally, the ability to learn new skills on the fly, to keep up with emerging technologies, and to transition comfortably among multiple ongoing projects of varying size and complexity, are all crucial.

Job Responsibility:

Extract, clean, explore, and analyze data collected from various sources, including organizational data, public data, and experimental data
Participate in the intake and assignment of projects in the HBS AI Institute Data Science Team
Design and execute data science and AI experiments with partner organizations
Create and implement a variety of models and analyses and be able to extract insights and inform strategy from them
Create and maintain clear documentation of data files, modeling choices, rationale, results, and annotated code and readme files
Present and explain data science methods and findings to faculty, managers and other non-technical stakeholders at HBS AI Institute
Provide training and mentorship of other data scientists, research scientists, post-doctoral fellows, research assistants, and PhD students
Troubleshoot complex problems and device a strategy of seeking solutions in collaboration with other data scientists
Document and disseminate findings
Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents
Responsible for other duties as assigned

Requirements:

Minimum of seven years’ post-secondary education or relevant work experience
Master’s or PhD in one of the following disciplines: Computational Sciences in either Physics, Biology, Neuroscience, Statistics, Applied Mathematics, Computer Science or another quantitative field
Minimum of 5 years of experience in data science or related quantitative role
Experience with R, Python, SQL, and related languages
Experience with AWS (RDS, EC2, S3, etc.) preferred or with Azure or Google Cloud
Experience with supervised and unsupervised ML methods
Advanced Statistical Expertise: Extensive experience with statistical modeling and regression analysis, including hypothesis testing and causal analysis
Familiarity with LLM API use for research purposes

Nice to have:

Ability to handle multiple projects, stakeholders and demands
Strong team player with excellent verbal and written communication skills
Experience with data visualization tools
Experience prototyping products for research purposes

What we offer:

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks