Harvard Business Publishing
Principal Data Scientist
Harvard Business Publishing, Boston, Massachusetts, us, 02298
Harvard Business Publishing (HBP) - the leading destination for innovative management thinking. We reach lifelong learners to improve the practice of management in a changing world. This mission inspires each of us to unlock the leader in everyone - including you!
The opportunity:
Harvard Business Publishing (HBP) is seeking a Principal Data Scientist to lead strategic data science initiatives and drive the development of advanced ML models. This mission-critical role will contribute to HBP's next generation of edtech and media products and support data initiatives across the organization. The role requires a blend of technical expertise, strategic thinking, and leadership skills.
What you'll do
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
What we're looking for 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
What we offer: As a mission-driven global company, Harvard Business Publishing is committed to fostering a culture of inclusion, trust, and engagement where everyone is welcome, valued, respected, and feels they belong. In addition to a competitive compensation and benefits package, we offer meaningful programs focused on career development and employee wellness, such as education reimbursement and early-release Summer Fridays! HBP is 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. $200,000 - $250,000 Above is the annualized pay range for this position. In addition, this position includes the opportunity to earn our annual Performance Based Variable Pay Program. Actual salary will be set based upon a range of factors, including external benchmark market data, individual knowledge, skills, experience, location and internal equity.
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
What we're looking for 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
What we offer: As a mission-driven global company, Harvard Business Publishing is committed to fostering a culture of inclusion, trust, and engagement where everyone is welcome, valued, respected, and feels they belong. In addition to a competitive compensation and benefits package, we offer meaningful programs focused on career development and employee wellness, such as education reimbursement and early-release Summer Fridays! HBP is 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. $200,000 - $250,000 Above is the annualized pay range for this position. In addition, this position includes the opportunity to earn our annual Performance Based Variable Pay Program. Actual salary will be set based upon a range of factors, including external benchmark market data, individual knowledge, skills, experience, location and internal equity.