Data Scientist

Key Responsibilities • Design and develop marketing-focused machine learning models, including: • Customer segmentation • Propensity, churn, and lifetime value (LTV) models • Campaign response and uplift models • Attribution and marketing mix models (MMM) • Build and deploy NLP solutions for: • Customer sentiment analysis • Text classification and topic modeling • Social media, reviews, chat, and voice-of-customer analytics • Apply advanced statistical and ML techniques to solve real-world business problems. • Work with structured and unstructured data from multiple marketing channels (digital, CRM, social, email, web). • Translate business objectives into analytical frameworks and actionable insights. • Partner with stakeholders to define KPIs, success metrics, and experimentation strategies (A/B testing). • Optimize and productionize models using MLOps best practices. • Mentor junior data scientists and provide technical leadership. • Communicate complex findings clearly to technical and non-technical audiences. Required Skills & Qualifications • 7+ years of experience in Data Science, with a strong focus on marketing analytics. • Strong expertise in Machine Learning (supervised & unsupervised techniques). • Hands-on experience with NLP techniques, including: • Text preprocessing and feature extraction • Word embeddings (Word2Vec, GloVe, Transformers) • Large Language Models (LLMs) is a plus • Proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch). • Experience with SQL and large-scale data processing. • Strong understanding of statistics, probability, and experimental design. • Experience working with cloud platforms (AWS, Azure, or GCP). • Ability to translate data insights into business impact. Nice to Have • Experience with marketing automation or CRM platforms. • Knowledge of MLOps, model monitoring, and deployment pipelines. • Familiarity with GenAI/LLM-based NLP use cases for marketing. • Prior experience in consumer, e-commerce, or digital marketing domains. EEO Centraprise is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.