Senior Research and Data Scientist, Digital Data Design Institute

Job Summary

The Senior Research Data Scientist will be a key member of the D^3 Data Science Team, working closely with Harvard Business School (HBS) faculty and D^3 Labs on the use and analysis of data to make advancements in social science research related to business and management, digital transformation, data science and artificial intelligence.

The Senior Research Data Scientist will report directly to the Head of Labs and Data Science D^3 Institute who will allocate and manage requests of the data science team. Given that social science data is heavily unstructured and contextual, we expect the Data Scientist to have proven track record and experience in multiple techniques like, but not limited to, ML, NLP, deep learning, neural networks, timeseries, and forecasting. The Data Scientist will work with and analyze data that is collected from various activities in the field, shared from organizations, or retrieved from public sources. As the Institute is built to dynamically adapt and scale, we expect responsibilities will evolve over time. In addition, Data Scientists from across HBS are part of a vibrant community of practice where we share ideas and skills.

Position Description

Responsibilities Include:

• Extract, clean, explore, and analyze data collected from various sources, including organizational data, public data, and experimental data
• Work with the D^3 Data Science Team to 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 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.
• Responsible for other duties as assigned.

Basic Qualifications

• 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.
• Experience with statistical modeling, regression, time series methods (VAR, state space modeling, etc.).
• 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 in UX/UI tools (e.g., Figma)
• Experience with data visualization tools (e.g., Tableau)
• Experience building products for research purposes

Additional Information

This role has the possibility of being remote or hybrid. We consider hybrid 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. Remote work may be considered for individuals living at least 100-mile radius from campus and where all work will be completed within a state that Harvard is registered to do business in (CA - exempt roles only, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA). Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice.

Candidates with fewer years of experience will be considered at a lower grade level.

We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role.

A cover letter is required to be considered for this opportunity.

Harvard Business School will not offer visa sponsorship for this opportunity.

Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here ;br>
About Us

Launched in 2022, 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. D^3 consists of numerous Harvard and Harvard Business School faculty and its labs focus around six key themes: Human-Centered Technology, Emerging AI-based Operating and Business Models, Evolution of Business Technology, Future of Work, Performance & Metrics, and Data, Privacy, Security, and Regulation.

Benefits

We invite you to visit Harvard's Total Rewards website ( ) to learn more about our outstanding benefits package, which may include:

• Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.
• Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.
• Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.
• Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.
• Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.
• Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.
• Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.
• Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.
• Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.

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