Full-Time

Principal Data Scientist

Confirmed live in the last 24 hours

Harvard Business Publishing

Harvard Business Publishing

501-1,000 employees

Consulting
Education

Compensation Overview

$200k - $250kAnnually

+ Performance Based Variable Pay

Expert

Boston, MA, USA

This is a hybrid position, requiring some in-office days in Boston.

Category
Data Science
Data Analysis
Data & Analytics
Required Skills
Python
Data Science
Machine Learning
Tableau
Natural Language Processing (NLP)
Data Analysis

You match the following Harvard Business Publishing's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 10+ years of data science research experience, with a strong focus on machine learning and statistical analysis
  • 3+ years of experience deploying machine learning models to production
  • Deep understanding of the algorithms underlying a variety of statistical and machine learning models relevant to information retrieval, GenAI, NLP, and personalization
  • Strong programming and algorithm development skills as applied to working with large data sets in Python
  • Experience leading large-scale, multi-year research projects
  • Practicality, a bias for action, and comfort with ambiguity
  • Excellent problem-solving skills and the ability to draw robust conclusions from data
  • Excellent communication and team collaboration skills
Responsibilities
  • Develop and lead execution of the research roadmaps for: (1) Agentic GenAI applications (our first customer-facing product is already in production and a second is in active development). (2) Better understanding HBP’s unique content library to support a range of customer-facing and internal use cases. (3) Personalization of our media and learning products
  • Participate in the prototyping, software implementation, monitoring, and upkeep of customer-facing and internal data products
  • Collaborate with cross-functional teams to understand data needs, define project requirements, and influence product roadmaps
  • Stay at the cutting edge of ML/AI literature and practice, periodically reevaluating the architecture of our models and identifying opportunities for improvement
  • Perform a variety of data analyses to support decision making, communicating findings and recommendations to stakeholders
  • Participate in ETL development (dbt), dashboard development (Tableau), and A/B testing
  • Mentor and guide other data scientists, analysts, and engineers, fostering a culture of continuous learning and improvement
  • Identify opportunities to apply data science to support use cases across HBP, in collaboration with cross-functional stakeholders
Harvard Business Publishing

Harvard Business Publishing

View

Company Size

501-1,000

Company Stage

N/A

Total Funding

N/A

Headquarters

null

Founded

1994

Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for online learning boosts Harvard Business Publishing's market.
  • Partnerships with tech firms enhance digital skills offerings.
  • Leadership development interest in emerging markets supports growth.

What critics are saying

  • Increased competition from platforms like Coursera may impact market share.
  • AI-driven content tools challenge traditional publishing models.
  • Shift to micro-credentialing could divert interest from traditional programs.

What makes Harvard Business Publishing unique

  • Harvard Business Publishing partners with global firms for leadership development.
  • Updates to Harvard ManageMentor enhance digital learning offerings.
  • Reimagining Capitalism course addresses big business problems.

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Benefits

Tuition Reimbursement

Performance Bonus

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