Senior Data Scientist (Contract)

Harvard Business Publishing; Greater Manchester; On-site; GBP 100,000 - 125,000; Full time

Job summary

An innovative organization is seeking a skilled data scientist with a strong machine learning background to drive data initiatives and enhance customer-facing products. This role involves developing data-driven features, supporting strategic decisions, and contributing to the evolution of cutting-edge educational technology. You will leverage your expertise in Python and statistical analysis to build ML models, engage in ETL development, and collaborate with cross-functional teams. If you are passionate about data science and eager to make a significant impact in a dynamic environment, this opportunity is perfect for you.

Qualifications

• 5+ years of data science experience with a focus on machine learning.
• Strong understanding of algorithms for statistical and ML models.

Responsibilities

• Conduct data science research and build ML models for various applications.
• Collaborate with teams to define data needs and influence product roadmaps.

Skills

Machine Learning

Statistical Analysis

Python Programming

Data Analysis

ETL Development (dbt)

Dashboard Development (Tableau)

A/B Testing

Communication Skills

Problem-Solving

Collaboration

Tools

Tableau

dbt

Job description

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 an experienced data scientist with a machine learning background to develop data-driven features and support strategic decision making. This role will contribute to HBP's next generation of edtech and media products and support data initiatives across the organization.

The initial focus of the role will be supporting our first customer-facing chatbot by measuring performance, identifying product development opportunities based on user inquiries, and partnering with our engineering team to enhance functionality.

What you'll do

1. Conduct data science research and build ML models for various applications, including Agentic GenAI applications, understanding HBP's content library for customer-facing and internal use cases, and personalizing media and learning products.
2. Participate in prototyping, software implementation, monitoring, and maintenance of user-facing and internal data products.
3. Perform data analyses to support decision-making, communicating findings and recommendations to stakeholders.
4. Engage in ETL development (dbt), dashboard creation (Tableau), and A/B testing.
5. Collaborate with cross-functional teams to define data needs and influence product roadmaps.
6. Stay updated on ML/AI literature and practices to identify opportunities for model improvements.
7. Identify opportunities to apply data science and analytics across HBP.

What we're looking for

1. 5+ years of data science research experience, with a focus on machine learning and statistical analysis.
2. Strong understanding of algorithms underlying various statistical and machine learning models relevant to information retrieval, GenAI, NLP, and personalization.
3. Proficiency in Python programming, including deploying machine learning models to production.
4. Practicality, a bias for action, and comfort with ambiguity.
5. Excellent problem-solving skills and the ability to draw robust conclusions from data.
6. Excellent communication and teamwork skills.
7. Experience with personalization of media and learning products.
8. Experience with prototyping, software implementation, monitoring, and maintenance of data products.
9. Experience with data analysis for decision support and stakeholder communication.
10. Experience with ETL development (dbt), dashboard development (Tableau), and A/B testing.
11. Ability to collaborate with cross-functional teams and influence product development.
12. Commitment to staying current with ML/AI literature and practices.
13. Ability to identify and support application of data science across HBP.

HBP is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, veteran status, gender identity, sexual orientation, pregnancy, or any characteristic protected by law.

Compensation: $90 - $120 per hour