Centraprise
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.
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.