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.