Job Description
Meet Our Team:
As a member of one of the most innovative and fastest growing groups at Pega, you will work closely with talented engineers and product owners across the globe to build a highly scalable Software.
Picture Yourself at Pega:
As an experienced Senior Data Scientist with strong expertise in Large Language Models (LLMs), Predictive modeling, and Natural Language Processing (NLP) you will lead advanced analytics initiatives and mentor junior team members.
The ideal candidate will combine a research-oriented mindset with exceptional hands-on Python coding skills and proven ability to communicate complex technical concepts to diverse stakeholders. You should have a track record of delivering impactful machine learning solutions while driving innovation through research and experimentation.
What You'll Do at Pega:
Design, develop, and deploy advanced machine learning models with focus on LLMs, predictive analytics, and NLP applicationsLead end-to-end data science projects from problem formulation to production deploymentImplement and fine-tune Large Language Models for specific business use casesDevelop sophisticated predictive models for forecasting, classification, and optimization problemsBuild robust NLP pipelines for text analysis, sentiment analysis, entity extraction, and document processingArchitect scalable ML solutions using modern frameworks (TensorFlow, PyTorch, Hugging Face, etc.)Drive research initiatives to explore novel ML/AI approaches and stay current with latest developmentsPrototype cutting-edge solutions and assess their feasibility for business applicationsWho You Are:
Master's or PhD in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field5+ years of hands-on experience in data science and machine learning2+ years of experience working with Large Language Models (GPT, BERT, T5, etc.)Proven track record of deploying ML models in production environmentsWhat You've Accomplished:
Expert-level proficiency in Python with strong software engineering practices (clean code, testing, documentation)Deep expertise in NumPy, Pandas, Matplotlib, Seaborn, Jupyter, and advanced Python librariesExtensive experience with TensorFlow, PyTorch, Scikit-learn, and Hugging Face TransformersHands-on experience with fine-tuning, prompt engineering, and deployment of large language modelsExposure to text processing, tokenization, named entity recognition, sentiment analysis, and document understandingExpertise in regression, classification, time series forecasting, and ensemble methods#LI-MC3
Pega Offers You:
Gartner Analyst acclaimed technology leadership across our categories of productsContinuous learning and development opportunitiesAn innovative, inclusive, agile, flexible, and fun work environmentCompetitive global benefits program inclusive of pay + bonus incentive, employee equity in the company
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