Data Scientist

Towne Park-posted 9 days ago

$135,000 - $150,000/Yr

Full-time • Mid Level

Plymouth Meeting, PA

5,001-10,000 employees

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We are looking for a Data Scientist with expertise in predictive modeling, time series analysis, and optimization techniques to support our dynamic pricing initiatives. In this role, you will build and refine models to predict parking demand and optimize pricing for commercial lots (e.g., downtown city lots) and hotel parking facilities. You will collaborate with a team of data scientists and engineers to deliver actionable insights and improve parking management efficiency across multiple locations.

Develop ML models to forecast parking demand
Build and optimize dynamic pricing models that adjust prices based on predicted demand and other relevant factors
Implement machine learning algorithms and statistical models to predict demand accurately.
Analyze historical data and market trends to identify patterns and inform pricing strategies.
Work closely with product teams and business stakeholders to deliver actionable insights and help shape business decisions.
Monitor and evaluate model performance over time, making improvements as needed
Communicate findings and insights through clear and compelling data visualizations and reports.
Stay up to date with industry best practices in data science and machine learning.

Bachelor’s or master’s degree in computer science, Data Science, Statistics, Economics, Engineering, or a related field
3+ years of professional experience in data science or a related role, with a strong emphasis on predictive modeling and optimization
Solid experience with machine learning algorithms (e.g., regression, classification, time series forecasting) and statistical techniques
Proficiency in Python (or R) and SQL
Strong knowledge of data manipulation, analysis, and visualization tools
Experience with cloud computing platforms (e.g., Azure, Snowflake, AWS, GCP) and data storage solutions (e.g., SQL, NoSQL).
Excellent communication skills, both written and verbal, with the ability to present technical concepts to non-technical stakeholders.
Strong problem-solving skills and the ability to work independently and collaboratively.

Experience with A/B testing and experimentation
Ability to write production-ready code
Experience building and deploying dynamic pricing models in production
Experience building Streamlit or Shiny apps

Employees are eligible to enroll in medical, dental, and vision insurance, accident insurance, critical illness insurance, hospital indemnity insurance, and telemedicine benefits.
Employees are provided company-paid basic life and AD&D insurance as well as short-term and long-term disability.
Employees are also able to enroll in the company’s 401k retirement savings plan.
Employees accrue 0.0654 hours of PTO per hour worked up to a maximum of 136 hours per calendar year.
Employees receive 6 paid holidays throughout the calendar year and employees accrue up to a maximum of 4 paid floating holidays per calendar year.

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