Senior Data Scientist for Revenue & Marketing Growth

Storage Asset Management; York (York County); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive pay with bonus

Paid time off

Parental leave

Healthcare 401(k)

Disability insurance

Dental insurance

Job summary

Storage Asset Management in Pennsylvania seeks a senior data scientist to work with large data sets to develop predictive pricing models and revenue insights across marketing. You will build ML models, run experiments, deploy pipelines, and collaborate with cross-functional teams to translate business needs into analytical solutions.

Ideal candidates have 6+ years in pricing/data science, strong Python/SQL skills, and a track record of production-ready models.

Qualifications

• 6+ years in pricing/revenue management/data science with hands-on model-building.
• 1+ year of applied AI experience in production: LLM tooling, embeddings, or RAG.
• Bachelor’s degree required; Master’s preferred or equivalent experience.
• Experience scaling models from pilot to production at 10x+ site expansion.
• Track record identifying pricing/model improvements and driving deployment.
• Highly organized with strong problem-solving.
• Experience building/deploying end-to-end ML models (classification, regression, NLP, etc.).
• Proficiency in Python or R; solid OOP understanding.
• Strong SQL and relational DB experience; Azure familiarity a plus.
• Strong stats, hypothesis testing, experimental design.
• Experience with AWS, GCP, or Azure.
• Detail-oriented, accurate, and confidential.
• Excellent presentation and analytical skills.
• Advanced Excel skills.

Responsibilities

• Develop predictive pricing models and revenue insights.
• Build and deploy ML models for marketing and pricing problems.
• Design experiments and A/B tests to measure impact.
• Create robust data pipelines for training and scoring models.
• Communicate results through reports and dashboards.

Skills

Pricing

Revenue Management

Data Science

Machine Learning

Python

SQL

Excel

Communication

Education

Bachelor’s Degree in Marketing or related field

Master’s degree preferred

Tools

Python

SQL

Pandas

scikit-learn

NumPy

PyTorch

TensorFlow

Azure

AWS

GCP

Job description

Storage Asset Management in Pennsylvania seeks a senior data scientist to work with large data sets to develop predictive pricing models and revenue insights across marketing. You will build ML models, run experiments, deploy pipelines, and collaborate with cross-functional teams to translate business needs into analytical solutions.

Ideal candidates have 6+ years in pricing/data science, strong Python/SQL skills, and a track record of production-ready models.