Senior Data Scientist Location: Remote About iTradeNetwork For over 25 years, iTradeNetwork has been at the forefront of the supply chain industry. Our journey began with a simple yet powerful purpose: to feed the world. Today, we stand tall with a legacy of providing advanced supply chain solutions backed by best-in-class expertise and support. In an industry riddled with challenges and pressures, iTradeNetwork is a partner to companies in the food and beverage supply chains. Our advanced solutions help businesses simplify complex procurement and fulfillment challenges, reduce food waste, optimize inventory levels, mitigate compliance risk, and expand profitably at scale. iTradeNetwork builds bridges between suppliers and buyers of perishable food and provides supply chain software and insights for the food & beverage industry. Job Summary As a Data Scientist at iTradeNetwork, you will play a critical role in driving data-driven decision-making and innovation within the food and beverage supply chain industry. You will leverage your expertise in data analysis, machine learning, and statistical modeling to provide actionable insights and develop advanced solutions that address the complex challenges faced by our clients. Your work will directly contribute to optimizing supply chains, reducing food waste, improving inventory management, and ensuring compliance, ultimately supporting our mission to feed the world efficiently and sustainably. Responsibilities Lead the data science team in developing and implementing machine learning models, algorithms, and predictive analytics to optimize supply chain processes and drive business outcomes. Work closely with product management, engineering, and other stakeholders to understand business requirements and translate them into technical solutions. Mentor and coach junior data scientists, providing guidance on best practices, methodologies, and techniques for data analysis and model development. Stay current with the latest developments in AI, machine learning, and data science, and actively contribute to the advancement of our technology stack and capabilities. Data Collection and Acquisition Gather and extract data from various sources such as databases, APIs, and external datasets. Ensure data integrity and accuracy. Clean and preprocess raw data to make it suitable for analysis. Handle missing data, outliers, and data inconsistencies. Exploratory Data Analysis (EDA) Conduct exploratory data analysis to uncover patterns, trends, and insights. Visualize data using charts, graphs, and other data visualization techniques. Statistical Analysis and Modeling Apply statistical methods to analyze data and interpret results. Build predictive models using machine learning algorithms. Business Problem Solving Understand business requirements and translate them into data science problems. Collaborate with business units to provide data-driven solutions. Algorithm Development and Optimization Develop new algorithms and improve existing ones to enhance data analysis capabilities. Ensure algorithms are efficient and scalable. Data Governance and Compliance Ensure data practices comply with relevant data privacy and security regulations. Implement data governance policies and best practices. Qualifications Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related technical field Relevant certifications or advanced degrees in Data Science, AI, or Machine Learning are beneficial Professional Experience 7+ years of experience in technical product management, program management, or engineering roles Tool and Technology Utilization Use data science tools and programming languages such as Python, R, SQL, and Hadoop. Utilize machine learning frameworks and libraries like TensorFlow, scikit-learn, and PyTorch. Documentation and Reporting Document methodologies, experiments, and code for reproducibility and knowledge sharing. Prepare and deliver comprehensive reports detailing data analysis and model outcomes. Machine Learning and AI Implementation Develop, train, and test machine learning models. Optimize model performance and tune hyperparameters. Additional Requirements: Ability to travel as required Knowledge of food service or hospitality industry a plus Must have unrestricted ability to work in the United States. iTradeNetwork, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c) #J-18808-Ljbffr
event-driven-architecture scikit-learn Data Analyst statistics data-integrity Data Science Python ML model training R data-collections data-preprocessing Writing reports and proposals validation data governance SQL Machine Learning TensorFlow Engineering Hadoop exploratory-data-analysis data-acquisition Product management PyTorch