Machine Learning Data Engineer, Digital, Data, & Design Institute

08-Mar-2024

Harvard Business School

65263BR

Position Description

The ML Data Engineer will be a key member of the D^3 operations team responsible for proper management of cloud infrastructure to ensure efficient and well-structured systems for use by researchers.

Responsibilities Include:

• Lead the development of a comprehensive data ecosystem that facilitates seamless data collection, storage, processing, and analysis, enabling a unified, data-driven approach.
• Lead the selection and deployment of tools and platforms, evaluating their effectiveness and making adjustments as necessary.
• Manage and optimize cloud infrastructure (preferably AWS) to support AI/ML architecture for an intelligence research products, ensuring scalability, cost-efficiency, and security.
• Responsible for developing and maintaining scalable data pipelines, this role involves integrating diverse data sources through APIs, and ensuring efficient data flow between backend systems and user-facing platforms.
• Govern Large Language Model (LLM) infrastructure.
• Familiariaty with both traditional Extract, Transform, Load (ETL) and modern Extract, Load, Transform (ELT) processes for handling structured and unstructured data.
• This role is responsible for other duties as assigned

Basic Qualifications

• Minimum of five years’ post-secondary education or relevant work experience

Additional Qualifications and Skills

Additional Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field required
• Strong technical expertise in AI/ML algorithms, data modeling, and software development.
• Experience with cloud architecture and deploying scalable and secure solutions in a cloud environment.
• Experience with relational SQL, NoSQL, and vector databases.
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Proficient in programming languages used in data engineering, such as Python.

• Excellent problem-solving, strategic thinking, and communication skills.
• Master's degree in Computer Science, Engineering, Data Science, or a related field.
• AWS cloud infrastructure knowledge

Additional Information

This role is offered as a hybrid (some combination of onsite and remote) where you are required to be onsite at our Boston, MA based campus 3 days per week. Specific days and schedule will be determined between you and your manager.

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 https://www.hbs.edu/employment .

About Us

The Digital, Data, and Design Institute at Harvard (D^3) (re)invents how organizations compete and thrive in the digital world and educates a new generation of leaders. D^3 provides a new architecture for rigorous research, immersive learning, and cutting-edge practice. The Institute is built to dynamically adapt and scale, and responsibilities will evolve over time. Visit our website for more information https://d3.harvard.edu/ .

Benefits

We invite you to visit Harvard's Total Rewards website (https://hr.harvard.edu/totalrewards ) 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.

Job Function

Information Technology

Department Office Location

USA - MA - Boston

Job Code

I1358P IT Data Architect Prof IV

Work Format

Hybrid (partially on-site, partially remote)

Department

Digital Data Design Institute

Union

00 - Non Union, Exempt or Temporary

Pre-Employment Screening

Credit, Education, Identity

Commitment to Equity, Diversity, Inclusion, and Belonging

Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.

EEO Statement

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

LinkedIn Recruiter Tag (for internal use only)

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