Data Scientist

This inclusive employer is a member of myGwork the largest global platform for the LGBTQ+ business community.

A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully.

Position Summary

Machine learning and LLMs’ impact on Higher Education continues to expand each day. Pearson is looking for a data scientist to help harness this growing field to benefit university students and instructors.

This individual will participate in the planning, design, development, and implementation of solutions to provide the optimal learning experience for our customers.

Our data scientists work on solutions which improve the efficiency of instructors and increase student engagement, comprehension, and personalized learning experiences.

Responsibilities

• Collaborate with cross-functional teams to build new solutions for students and instructors in Higher Education using your expertise in deep learning and other machine learning models and algorithms.
• Continuously learn, explore, and provide insights into the latest tools and practices in artificial intelligence so we can innovate new ways of teaching and assessing university level material.
• Evaluate and fine tune the performance, cost and efficacy of different models and solutions to achieve the highest quality standards for our customers.
• Make a lasting, positive impact on the educational outcomes of our customers.
• Be a trustworthy steward of our customers’ data.

Requirements

• 3+ years of experience of deep-learning and Language Model Middleware (LMM) technologies, know how to evaluate similarity search and LMM outputs, and conduct prompt engineering, token optimization and evaluate system efficacy.
• In-depth understanding of LLM technologies and their applications in natural language processing.
• Experience with data preprocessing, data augmentation, and data quality assessment.
• Proficiency in using and fine-tuning state-of-the-art deep learning models, such as transformer-based architectures (e.g., BERT, GPT, T5).
• Strong programming skills in Python and proficiency with relevant libraries and frameworks (e.g., TensorFlow, Pandas, PyTorch, SciPy, scikit-learn, JAX).
• Knowledge of ethical AI principles, red-teaming, and responsible AI practices.
• Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.
• Prior experience with prompt engineering and chatbot development is highly desirable.

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location.

As required by the Colorado, California, Washington State, New York State and New York City laws, the pay range for this position is as follows : The minimum full-time salary range is between $90,000 - $110,000.

This position is eligible to participate in an annual incentive program, and information on benefits offered is here.

What To Expect From Pearson

Did you know Pearson is one of the 10 most innovative education companies of 2022? At Pearson, we add life to a lifetime of learning so everyone can realize the life they imagine.

We do this by creating vibrant and enriching learning experiences designed for real-life impact.

We value the power of an inclusive culture and also a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm and all individuals are supported in reaching their full potential.

Through our talent, we believe that diversity, equity and inclusion make us a more innovative and vibrant place to work.

Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We want a team that represents a variety of backgrounds, perspectives and skills.

The more inclusive we are, the better our work will be. All employment decisions are based on qualifications, merit and business need.

All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law.

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