Company Description

By working at Harvard University, you join a vibrant community that

advances Harvard's world-changing mission in meaningful ways,

inspires innovation and collaboration, and builds skills and

expertise. We are dedicated to creating a diverse and welcoming

environment where everyone can thrive.

The Digital Data Design

Institute at Harvard (D^3) is a global research center that

provides research-driven insights, accessible to anyone in the

world, on using AI and digital technologies to advance business and

society.

Founded on the premise that AI technology is only half the answer

and that businesses must also revamp their processes to harness

AI’s potential, the Institute is made up of an unbiased,

multidisciplinary team of researchers and scientists, business

leaders, and entrepreneurs.

Job Description

Job Summary

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.

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-Specific Responsibilities:

• 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.

Qualifications

Basic Qualifications

• 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.

Additional Qualifications and Skills:

• 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

Additional Information

• Standard Hours/Schedule: 40 hours per week
• Visa Sponsorship Information: Harvard University is

unable to provide visa sponsorship for this position

• Pre-Employment Screening: Identity, Education
• Other Information:
• This is a hybrid position which we consider to be a combination

of remote and onsite work at our Boston, MA based campus. HBS

expects all staff to be onsite a minimum of 3 days per week and

departments provide onsite coverage Monday – Friday. Specific hours

and days onsite will be determined by business needs and are

subject to change with appropriate advanced notice.

• As part of our evaluation, candidates are required to complete

a take-home assignment/assessment after clearing the technical

screen.

• We may conduct candidate interviews virtually (phone and/or via

Zoom) and/or in-person for this role

Work Format Details

This position has been determined by school or unit leaders that

some of the duties and responsibilities can be effectively

performed at a non-Harvard location. The work schedule and location

will be set by the department at its discretion and based upon

operational needs. When not working at a Harvard or

Harvard-designated location, employees in hybrid positions must

work in a Harvard registered state in compliance with the

University’s Policy on

Employment Outside of Massachusetts . Additional details will

be discussed during the interview process. Certain visa types and

funding sources may limit work location. Individuals must meet work

location sponsorship requirements prior to employment.

Salary Grade and Ranges

This position is salary grade level 059. Please visit  Harvard's Salary Ranges

to view the corresponding salary range and related

information.

Benefits

Harvard offers a comprehensive benefits package that is designed to

support a healthy work-life balance and your physical, mental and

financial wellbeing. Because here, you are what matters. Our

benefits include, but are not limited to:

• 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

Learn more about these and additional benefits on our Benefits &

Wellbeing Page .

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to

equal opportunity and

non-discrimination . We seek talent from all parts of society

and the world, and we strive to ensure everyone at Harvard thrives.

Our differences help our community advance Harvard's academic

purposes.

Harvard has an

equal employment opportunity policy that outlines our

commitment to prohibiting discrimination on the basis of race,

ethnicity, color, national origin, sex, sexual orientation, gender

identity, veteran status, religion, disability, or any other

characteristic protected by law or identified in the university's

non-discrimination policy . Harvard's

equal employment opportunity policy and

non-discrimination policy help all community members

participate fully in work and campus life free from harassment and

discrimination.