Data Scientist, Supply Chain

Ever.Ag; United States; Remote; USD 60,000 - 100,000; Part time

Job summary

Join a forward-thinking company as a Data Scientist, where you will enhance supply and demand forecasting capabilities using data pipelines and ML models. This part-time role allows you to collaborate with clients in the Dairy and Livestock sectors, delivering high-value insights and solutions. You'll work in a supportive environment that values innovation and teamwork, contributing to the success of agriculture and food supply chains. If you have a passion for data and a commitment to excellence, this opportunity is perfect for you!

Qualifications

• 2+ years of experience in machine learning and forecasting models.
• Strong knowledge in statistical methods and data mining techniques.

Responsibilities

• Analyze complex datasets to extract insights and address supply chain challenges.
• Develop and maintain ML models for forecasting commodities.

Skills

Machine Learning

Data Analysis

Statistical Knowledge

Data Mining

SQL

Python

Git

Education

Bachelor's Degree

Master's Degree

Ph.D.

Tools

AWS

ETL Processes

Job description

Internal Job Title:Data Scientist I or II

Reports To:Senior Data Scientist

FLSA Status:Hourly, Non-Exempt, Part Time

Location:Remote

External Job Title:Data Scientist,Supply Chain| Part Time

Position Summary

The Data ScientistSupply Chain, part time, role will work on improving oursupply and demand forecasting capabilitiesusing data pipelines, Extraction Transformation Loading (ETL) processes, and ML models. This role will also deliver excellent customer experience by working directly with clients in the Dairy and Livestock sectors. The role would need a commitment to20 hours a week.

Key Responsibilities

• Analyze large, complex datasets to extract actionable insights, identify trends, and address supply chain challenges.

• Develop, deploy, and maintainML models for forecasting commodities.Perform tests to ensure the accuracy of the models. Present complex data insights in a clear and effective manner to both technical and non-technical stakeholders.

• Collaborate on project data requirements, gather and validate information, and apply judgment and statistical tests to devise problem-solving actions.

• Help support pre-existing customer implementations.

• Work with a team of services professionals to deliver high-value products in a Software as a Service (SaaS) environment.

• Report to the customer leadership teams on solutions and assist with decision making.

• Potential for travel to customer sites.

• Other duties as assigned.

Qualifications

• Bachelor's or higher degree, preferably master’s or Ph.D., in a relevant field (e.g., Data Science, Computer Science, Engineering, Statistics). PhD candidates welcome.

• Typically, 2+ years’ experience in building machine learning and forecasting models for academic/enterprise applications.

• Strong quantitative, statistical, and data mining knowledge, including experience with techniques like regression and ML algorithms.

• Experience manipulating and preparing large data sets to support advanced analytics.

• Demonstrated ability to iteratively conceptualize, design and build data pipelines.

• Hands on experience with common analysis and version control tools (SQL, Python, GitHub).

• Demonstrable familiarity with code and programming concepts.

• Collaborative, open, and respectful working style.

• Familiarity with cloud-based technologies such as AWS is a plus.

Competencies for Success

• Excellent written and verbal communication: Presents oneself clearly and articulately when speaking, assuring that others fully comprehend the intended message; Uses appropriate grammar tailored to the audience.

• Analytical and Critical Thinking: Review and manage data with strong attention to detail; combine facts with likely possibilities; articulate and resolve complex problems.

• Quality Focused: A recognition of the value of doing things the right way; having a high sense of integrity and thoughtfulness in your actions.

• Math Ability: Ability to calculate figures and amounts. Ability to work with mathematical concepts such as probability and statistical inference.

• Reasoning Ability: Ability to think critically and solve problems with a variety of variables in situations where, at times, only limited standardization exists. The ability to define problems, collect data, establish facts, and draw conclusions. Ability to interpret a variety of technical instructions furnished in written, oral, diagram, or schedule form.

• Action Oriented: A bias for action, when you see a problem, you solve it using your technical savvy and internal resources.

Who you will be working for

Ever.Ag offers innovative AgTech solutions and services that empower agriculture, food, and beverage supply chains to feed a growing world. The breadth of the portfolio is uniquely capable of supporting the complex needs of companies involved in dairy, livestock, crops, and agribusiness. With decades of experience and industry-leading innovations, our technology, risk management, and market intelligence provide our customers with the tools and insights they need to operate more efficiently, sustainably, and strategically across every stage of the supply chain.

We welcome candidates from all backgrounds to contribute their unique perspectives to our team. Your success is our success!

Please visit our webpage to learn more about usNews.Ever.Agandhttps://www.ever.ag/