Sr. Data Scientist
Job Title: Senior Data Scientist
Location: Reading, PA
About The Company
Join a leading data driven logistics organization that’s redefining the truck leasing space. We offer a unique opportunity to apply cutting-edge AI and machine learning to high-impact, real-world logistics challenges at an enterprise level.
Job Summary
The Senior Data Scientist will lead the development and implementation of Machine Learning (ML), Artificial Intelligence (AI), and Generative AI solutions for next-generation products. This role requires strong expertise in data science, machine learning, coding, and optimization systems, with a focus on driving enterprise-level, data-informed decision-making. In addition to delivering hands-on technical work, the Senior Data Scientist will mentor junior team members, promote best practices, and manage multiple large-scale projects with organization-wide impact.
Key Responsibilities
• Strategic Opportunities & Process Improvement
• Collaborate with stakeholders to identify and define complex business problems.
• Conduct ROI analysis to determine project feasibility.
• Support the development of business cases for enterprise-wide analytics initiatives.
• Data Evaluation & Analysis
• Identify appropriate data sources for solving business questions.
• Extract, blend, cleanse, and organize data using automated ETL processes.
• Visualize data to support understanding and decision-making.
• Address data quality issues, including outliers and missing or incomplete records.
• Model Building & Implementation
• Select appropriate techniques and algorithms for model development.
• Build, test, and refine machine learning and optimization models.
• Develop applications and embed models for enterprise-level deployment.
• Communication & Leadership
• Participate in and lead discussions on modeling best practices.
• Contribute to the organization’s data-driven vision and strategy.
• Mentor junior data scientists and support their professional development.
Requirements
• Education : Master’s degree in Engineering, Operations Research, Statistics, Applied Math, Computer Science, or a related quantitative field and 4+ years of experience.
• Experience:
• Minimum of 4 years of experience designing and building ML applications using structured and unstructured data.
• Extensive experience with distributed computing frameworks.
• Demonstrated expertise in applying advanced ML and Deep Learning techniques in a business setting.
• Skills:
• Ability to translate complex data insights into strategic recommendations for non-technical stakeholders.
• Proficiency in Python or another high-level scripting language.
Preferred Qualifications
• PhD in Engineering, Operations Research, Statistics, Applied Math, Computer Science, or a related quantitative field with 2+ years of experience.
• Experience with model deployment, MLOps practices, containerization, and orchestration technologies.
IT Services and IT Consulting
Engineering and Information Technology
Full-time