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As a Senior Data Scientist, you will be a key member of the D^3 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.
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 D^3 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 D^3
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