( Remote ) Senior Data Scientist

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.

Conduct exploratory data analysis to uncover patterns, trends, and insights.

Apply statistical methods to analyze data and interpret results.

Understand business requirements and translate them into data science problems.

Develop new algorithms and improve existing ones to enhance data analysis capabilities.

Ensure data practices comply with relevant data privacy and security regulations.

Qualifications

Relevant certifications or advanced degrees in Data Science, AI, or Machine Learning are beneficial

7 years of experience in technical product management, program management, or engineering roles

Use data science tools and programming languages such as Python, R, SQL, and Hadoop.

Document methodologies, experiments, and code for reproducibility and knowledge sharing.

Develop, train, and test machine learning models.

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)

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Remote working / work at home options are available for this role.