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Entry Level Data Scientist Supply Chain Jobs (NOW HIRING)

Gain America

Entry Level Data Scientist

Hicksville, NY · On-site

$70K/yr

... scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems Assess project requirements and develop data ...

Winaxis

Supply chain analyst

Waltham, MA · On-site

Supply Chain Analyst (Entry Level) Visa: OPT EAD, CPT, H4-EAD, and other EAD holders encouraged to ... Collect, validate, and interpret supply chain data to generate insights and recommendations.

Ameren Services

Supply Chain Internship

Saint Louis, MO · Hybrid

$21 - $30/hr

Course work or concentration in Economics, Finance, Computer Science, Supply Chain Management, Engineering, Math, or Data Analytics preferred. Completed course work through the junior level with a ...

Ameren Services

Supply Chain Internship

Saint Louis, MO · On-site

$21 - $30/hr

Course work or concentration in Economics, Finance, Computer Science, Supply Chain Management, Engineering, Math, or Data Analytics preferred. Completed course work through the junior level with a ...

Abbott

Data Analyst _ Supply Chain

Los Angeles, CA · On-site

$90K - $180K/yr

Stay current on data engineering, analytics, and supply chain data management best practices ... Prior experience/education in life sciences or healthcare preferred The base pay for this position ...

Abbott

Data Analyst _ Supply Chain

Los Angeles, CA · On-site

$90K - $180K/yr

Stay current on data engineering, analytics, and supply chain data management best practices ... Prior experience/education in life sciences or healthcare preferred The base pay for this position ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

Company Description Noblesoft Solutions is a certified member of the National Minority Supplier ... This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ...

Backyard Products, LLC

Supply Chain Assistant

Plano, TX · On-site

$55K - $65K/yr

Director, S&OP Job Type: Entry Level Job Summary The Supply Chain Assistant supports daily supply chain operations, including procurement, inventory management, logistics coordination, and data ...

General Atomics

Data Scientist I

San Diego, CA · On-site

We currently have an exciting opportunity for an entry level Data Scientist within our IFT Division located in San Diego, California. DUTIES AND RESPONSIBILITIES: * Own the design, development, and ...

New

Collabera

Supply Chain Representative

San Antonio, TX

$13/hr

... Entry level Supply Chain Buyer will work directly with the client and its suppliers to procure ... data entry request per internal management Looks up order information in JDE Follows up with ...

Hy-Tek

Supply Chain Consultant

Atlanta, GA · On-site

The position of Supply Chain Consultant is an entry level into the supply chain engineering ... Support of the data analytics team to help define planning requirements. * All other duties as ...

Hy-Tek

Supply Chain Consultant

Atlanta, GA · On-site

The position of Supply Chain Consultant is an entry level into the supply chain engineering ... Support of the data analytics team to help define planning requirements. * All other duties as ...

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Entry Level Data Scientist Supply Chain information

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How much do entry level data scientist supply chain jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level data scientist supply chain in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does an entry level data scientist supply chain do?

An Entry Level Data Scientist in Supply Chain analyzes data related to inventory, logistics, procurement, and demand forecasting to help companies optimize their supply chain operations. They use statistical methods, machine learning, and data visualization tools to uncover trends, identify inefficiencies, and support decision-making. Their work often involves cleaning and preparing data, building predictive models, and communicating insights to stakeholders to improve processes and reduce costs.

What are the key skills and qualifications needed to thrive as an entry level data scientist supply chain?

To thrive as an Entry Level Data Scientist in Supply Chain, you need a solid foundation in statistics, data analysis, and supply chain fundamentals, typically supported by a degree in data science, statistics, engineering, or a related field. Proficiency in programming languages like Python or R, experience with SQL databases, and familiarity with data visualization tools such as Tableau or Power BI are commonly required. Strong problem-solving abilities, effective communication, and teamwork skills help translate data insights into actionable supply chain improvements. These skills are vital for optimizing operations, identifying cost-saving opportunities, and supporting data-driven decision-making in complex supply chain environments.

What are some typical projects an entry level data scientist supply chain might work on?

As an entry level data scientist in supply chain, you can expect to work on projects like demand forecasting, inventory optimization, and logistics network analysis. Your daily tasks may include cleaning and analyzing large datasets, building predictive models, and generating actionable insights to improve efficiency. You'll often collaborate with supply chain analysts, operations managers, and IT teams to implement your solutions and present findings to stakeholders. This collaborative environment offers valuable exposure to both technical and business aspects of supply chain management.

Can I get an entry level data scientist supply chain job with no experience?

Entry level data scientist supply chain roles typically require some knowledge of data analysis, programming (such as Python or R), and familiarity with supply chain concepts. While prior experience is not always mandatory, having relevant coursework, certifications, or internships can improve chances of securing such positions.

What cities are hiring for Entry Level Data Scientist Supply Chain jobs?

Cities with the most Entry Level Data Scientist Supply Chain job openings:

What are the most commonly searched types of Data Scientist Supply Chain jobs?

The most popular types of Data Scientist Supply Chain jobs are:

What states have the most Entry Level Data Scientist Supply Chain jobs?

States with the most job openings for Entry Level Data Scientist Supply Chain jobs include:

What job categories do people searching Entry Level Data Scientist Supply Chain jobs look for?

The top searched job categories for Entry Level Data Scientist Supply Chain jobs are:

Entry Level Data Scientist Supply Chain jobs near you
Infographic showing various Entry Level Data Scientist Supply Chain job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Entry Level Data Scientist

Gain America

Hicksville, NY • On-site

$70K/yr

Contractor

Re-posted 27 days ago

Job description

Job description
Required Skills
Excellent analytical, written and verbal communication skills
Required Experience
Must have Mathematics or Statistics background Technical and Soft Skills Required Experience in Python programming and understanding of the software development life cycle Knowledge of Linear Algebra, Statistics, and Mathematics concepts
Collaborate with dynamic teams of engineers, developers, and scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems
Assess project requirements and develop data analysis algorithms
Engage developers to share their opinions, knowledge, and recommendations to meet the deliverables
Contribute to technical solutions and implement software analyses to unlock the secrets held by big data sets
Integrate components like web-based UI, commercial indexing products, and access control mechanisms to create operational information and knowledge discovery systems

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