The Data Scientist I will be involved in advanced supply chain analytics covering both deterministic and stochastic modeling, optimization, and analysis. The position will take business questions, develop model frameworks, identify data sources, extract data, perform quantitative analysis through the model and then develop and communicate insights and/or solution recommendations. The position should be able to incorporate Artificial Intelligence and Machine Learning to develop Predictive and Prescriptive Analytic models for enhanced decision support.
Functions
Work with key distribution, transportation, and material handling business managers to identify improvement opportunities through use of advanced data analytics, and develop decision support models for enhanced decision making
Provide full-stack data scientist service: the position takes business questions, develops model frameworks, identifies data sources, extracts data, performs quantitative analysis through the model and then develops and communicates insights and/or solution recommendations
Incorporate Artificial Intelligence and Machine Learning to develop Predictive and Prescriptive Analytics models for enhanced decision support
Support and enhance existing analytics, optimization, and simulation modeling capabilities
Routinely perform analysis and make presentations to key business stakeholders, including customers.
This position supports the Kenco Operating System (KOS) model of cultural transformation through the integration of operational excellence principles across the enterprise
Qualifications
Master’s degree in Engineering, Operations Research, Statistics, Computer Science, or related field required. PhD preferred.
Minimum of 2 years of experience in Data Science in a business environment required
Strong Python skills and experience with using Python to develop Machine Learning and Artificial Intelligence models
Ability to write clean and concise code, especially in R or Python
Passion to learn new techniques in the space of Machine Learning and Artificial Intelligence
Experience using SQL Server, Amazon S3, and Sage Maker
Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts and experience with applications
Keen eye for detail and thoughtful investigation of data before relying upon it
Excellent quantitative modeling, statistical analysis, and problem-solving skills
Advanced user of statistical and computer science methods and tools
Demonstrated record of dealing with ambiguity and delivering results in a dynamic business environment
Preferred: Experience with deploying models on AWS
Preferred: Experience in using dashboarding/visualization tools like Qlik or Tableau
Competencies
Business Acumen - Knowledgeable in current and possible future policies, practices, trends, technology, and information affecting his/her business and organization.
Communicate for Impact - Proactively communicate with all stakeholders throughout the life cycle of programs and projects.
Influencing Others - Can quickly find common ground and can solve problems for the good of the organization with a minimal amount of noise. Authentically gains trust and support of peers.
Managing Transitions/ Change Management - Effectively plans, manages and communicates changes in processes with appropriate stakeholders.
Strategic Agility - Enable Kenco to remain competitive by adjusting and adapting to innovative ideas necessary to support Kenco’s long-term organizational strategy.
Travel Requirements
This position is expected to travel approximately 25% or less.
About Kenco Management Services LLC
Kenco is the largest woman-owned third-party logistics (3PL) company in the United States. We provide integrated logistics solutions that include distribution and eCommerce fulfillment, comprehensive transportation management services, material handling equipment services, engineering and innovation consulting, and information technology—all engineered for Operational Excellence.
For over 70 years, we’ve built customer relationships that span decades. Privately held and financially strong, we take our corporate responsibility seriously by engaging in ethical, honest, and sustainable business practices. Our agility, customer dedication, and data-driven approach ensure we provide our customers with real solutions and real results.
