Support assigned faculty members leading projects across a variety of business topics, including AI, digital transformation, corporate fraud, and identity and power research.
Compensation
This position is salary grade level 055. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.
Responsibilities
Work under the general direction of HBS faculty on topics central to HBS research agenda
Provide subject-area knowledge, analysis and interpretation to faculty member
Identify and explore a wide-range of questions related to faculty’s research agenda
Write cases, case supplements, project reports, and policy memos from start to finish creating original writing based on subject-area expertise, research, and interviews
Write articles for applicable business audiences such as Harvard Business Review
The Survey Research and Reporting Analyst supports consumer and sensory research projects from survey setup through final reporting. This role partners closely with Research Managers, Operations, Recruiting, and Client Service teams to ensure studies are executed accurately, data is processed and analyzed efficiently, and client deliverables are produced on time.
Compensation
Pay Range: $50k/Yr.-$60k/Yr.
Responsibilities
Design screening and questionnaire surveys aligned with research objectives
Recommend best practices in questionnaire structure, flow, neutrality, and respondent experience
Create clear specifications and documentation for programming teams
Support or directly program surveys as needed using approved survey platforms
Perform rigorous quality assurance testing and validation prior to field launch
Develop protocols and methodology for genomics-based research into the development and application of cellular and molecular techniques, and application of bioinformatics involved in citrus cultivar improvement, with emphasis on disease resistance and improved fruit quality.
Compensation
$70,000.00
Responsibilities
Develop protocols and methodology for genomics-based research
Apply bioinformatics to citrus cultivar improvement
Improve disease resistance of commercial citrus cultivars
Develop disease resistant rootstocks
Develop new disease resistant, high-quality fresh fruit and processing candidates
The Data Scientist designs, develops, and implements advanced analytics, artificial intelligence (AI), and machine learning solutions that improve business decision-making and operational performance.
Responsibilities
Designs, develops, evaluates, deploys, and monitors statistical, predictive, prescriptive, machine learning, and artificial intelligence solutions that address business opportunities and operational challenges
Develops AI solutions using structured and unstructured enterprise data and evaluates emerging AI technologies for responsible integration into business processes and analytical products
Establishes standards and best practices for AI development, evaluation, documentation, deployment, monitoring, explainability, and responsible use
Designs, develops, deploys, and maintains enterprise semantic models within Microsoft Fabric
Transforms governed Gold-layer data into analytics-ready semantic models by defining dimensional structures, relationships, measures, calculations, hierarchies, metadata, and business context
Requirements
Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Information Systems, Business, or a related discipline
Master's degree in Data Science, Analytics, Statistics, Computer Science, Artificial Intelligence, or a related discipline
Nice to have: Microsoft Fabric
Nice to have: Git-based source control
Nice to have: CI/CD
T
Expert Data Visualization & Analytics Specialist / Expert Data Visualization Specialist
Combine hands-on process development, customer engagement, and technical problem solving to lead laboratory-based process development activities, establish process best-known methods (BKMs), and provide technical support for customer qualification efforts.
Compensation
The expected salary range for this position is $113,053.00 - $143,201.00, plus a bonus opportunity.
Responsibilities
Develop, optimize, and characterize thin-film deposition processes using Veeco ion beam deposition systems
Design and execute experiments to improve process performance, manufacturability, and customer outcomes
Establish and document process best-known methods (BKMs), operating procedures, and qualification methodologies
Plan and conduct customer demonstrations, process evaluations, and proof-of-concept activities
Analyze process data and generate technical reports, recommendations, and customer-facing presentations
Requirements
Bachelor’s degree in Engineering, Physics, Materials Science, Chemistry, or a related technical field
Definition, maintenance and constant improvement of usual KPIs in Forecast Quality.
Analysis of factors that impact demand for products across our assets (i.e., category trends, promotions, seasonality, retail demand, competitor products…)
Cross-functional Collaboration to implement a Sales and Operations Planning process: you will be a key player in assuring that the supply chain and commercial team adapt to the latest demand changes.
Knowledge of more complex demand and forecast interaction on the product level: You bring expertise around product launches, cannibalization, demand elasticity, etc.
Implementation of robust systems solutions that allow scalable reporting and decision-making in Demand planning.
Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts.
Compensation
40 hours / week, 8:00am-5:00pm, Salary Range $121,855/year to $160,000/year.
Responsibilities
Manage metrics reporting and perform mathematical and statistical modeling to produce business forecasts
Research, design, and develop new forecasting technologies to help Amazon leverage its data to support business functions
Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization
Transform complicated business problems into mathematics modeling and provide data-driven solutions
Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS
Requirements
Master's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field with five years of progressive post-baccalaureate experience
Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts.
Compensation
Salary Range $143,926/year to $176,300/year.
Responsibilities
Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts
Research, design, and develop new forecasting technologies to help Amazon leverage its data to support business functions through complicated mathematical modeling
Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization
Transform complicated business problems into mathematics modeling and provide data-driven solutions
Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS
Requirements
Master’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field