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Remote Manufacturing Data Scientist Jobs in Phoenix, AZ

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Data Scientists & Machine Learning Engineers * Data Engineers * Required & Preferred Skills * Java ...

Overview This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to ... The Data Scientist will join a team of other data scientists and analysts in helping develop the ...

Overview This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to ... The Data Scientist will join a team of other data scientists and analysts in helping develop the ...

Decision Scientist

Phoenix, AZ · On-site +1

$40/hr

... remote work and setting your own schedule. We are looking for experienced quantitative ... Whether your background is in data science, astrophysics, economics, biostatistics, operations ...

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Remote Manufacturing Data Scientist information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

How much do remote manufacturing data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for remote manufacturing data scientist in Phoenix, AZ is $121,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Manufacturing Data Scientist, and why are they important?

To thrive as a Remote Manufacturing Data Scientist, you need expertise in data analytics, statistical modeling, and a solid educational background in fields like computer science, engineering, or statistics. Familiarity with programming languages (such as Python or R), machine learning platforms, and manufacturing-specific systems like ERP or MES is typically required. Strong problem-solving skills, attention to detail, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies enable you to extract actionable insights from complex manufacturing data, driving process improvements and operational efficiency from a remote setting.

How does a Remote Manufacturing Data Scientist typically collaborate with onsite engineering and production teams?

As a Remote Manufacturing Data Scientist, collaboration with onsite teams is often facilitated through regular virtual meetings, shared dashboards, and collaborative project management tools. You may analyze production data, develop predictive models, and then present insights and recommendations to engineers and plant managers via video calls or detailed reports. Building strong communication skills and familiarity with digital collaboration platforms is essential for bridging the gap between remote analytics and hands-on manufacturing processes. Proactively seeking feedback and clarifying technical requirements with onsite teams ensures your data-driven solutions are both practical and impactful.

What does a Remote Manufacturing Data Scientist do?

A Remote Manufacturing Data Scientist analyzes large sets of manufacturing data to uncover insights, optimize processes, and support decision-making, all while working offsite. They use statistical methods, machine learning, and data visualization tools to identify patterns, predict equipment failures, and recommend improvements for efficiency and quality. Collaborating with engineering and production teams, they help implement data-driven solutions without being physically present at the manufacturing facility. Their work contributes to reducing costs, improving productivity, and ensuring product quality in the manufacturing sector.

What is the difference between Remote Manufacturing Data Scientist vs Remote Manufacturing Engineer?

AspectRemote Manufacturing Data ScientistRemote Manufacturing Engineer
Required CredentialsDegree in Data Science, Statistics, or related field; proficiency in data analysis toolsDegree in Mechanical, Industrial, or Manufacturing Engineering; technical skills in manufacturing processes
Work EnvironmentPrimarily analytical, working with data sets and software tools remotelyFocus on process design, optimization, and technical implementation, often involving remote collaboration
Industry UsageUsed across manufacturing sectors for data-driven decision makingApplied in designing and improving manufacturing systems and processes

The main difference is that a Remote Manufacturing Data Scientist focuses on analyzing manufacturing data to inform decisions, while a Remote Manufacturing Engineer concentrates on designing and optimizing manufacturing processes. Both roles may work remotely and require technical expertise, but their core responsibilities differ significantly.

What are the most commonly searched types of Manufacturing Data Scientist jobs in Phoenix, AZ? The most popular types of Manufacturing Data Scientist jobs in Phoenix, AZ are:
What are popular job titles related to Remote Manufacturing Data Scientist jobs in Phoenix, AZ? For Remote Manufacturing Data Scientist jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Manufacturing Data Scientist jobs in Phoenix, AZ look for? The top searched job categories for Remote Manufacturing Data Scientist jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Remote Manufacturing Data Scientist jobs? Cities near Phoenix, AZ with the most Remote Manufacturing Data Scientist job openings:
Infographic showing various Remote Manufacturing Data Scientist job openings in Phoenix, AZ as of May 2026, with employment types broken down into 63% Full Time, 32% Part Time, 3% Contract, and 2% Nights. Highlights an 20% Physical, 3% Hybrid, and 77% Remote job distribution, with an average salary of $121,868 per year, or $58.6 per hour.
Data Scientist (Remote)

Data Scientist (Remote)

Sprouts Farmers Market

Phoenix, AZ • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Sprouts Farmers Market rating

6.8

Company rating: 6.8 out of 10

Based on 794 frontline employees who took The Breakroom Quiz

23rd of 113 rated grocery stores


Job description

Overview
This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to provide personalized experiences to all of our customers every time they interact with us.  The Data Scientist will join a team of other data scientists and analysts in helping develop the machine learning models, recommender systems and processes to make that vision a reality. 

Overview of Responsibilities

Analytics & Business Partnering (70%)

  • Collaborate with cross functional stakeholders to understand business requirements/KPIs to design, develop & execute analytical solutions that support decisions and improve business outcomes
  • Analyze data, identify anomalies and provide actionable insights to support business partners
  • Conduct analyses with high degree of precision and accuracy with readily available tools
  • Predict, test and measure organization initiatives to identify impacts to business outcomes
  • At regular business intervals, update and distribute reports, dashboards, presentations to executive leadership
  • Drive continuous improvements throughout the organization by improving the speed in which we can transform data into decisions, actions and quantifiable results.
  • Respond to ad hoc data and analysis requests to support business partners
  • Provide leadership and direction to ensure processes and procedures are in place to effectively use data to monitor and manage business performance.

 

Development, Machine Learning & Maintenance (30%)

  • Train and Test Supervised and Unsupervised machine learning models to predict business outcomes, segment customers or products or create recommendations or other personalized content
  • Work with IT to implement machine learning models into production
  • In partnership with IT manage any automated ETL processes, narrowcast reports and maintenance of business intelligence & database servers supporting the Enterprise and Customer Analytics team.
  • Continually improve the efficiency/usability of BI capabilities for business users
  • Participate in projects to improve business intelligence capabilities, master data management, data governance, etc.
  • Continually validate the integrity of data sources and partner with internal and external teams to remedy issues as necessary
  • Develop processes and algorithms to cleanse/standardize/join disparate data sources
  • Partner with internal and external teams to integrate new sources of data into existing datasets and/or improve the reliability and availability of existing datasets

#LI-CS1


Qualifications
  • Bachelor’s Degree in computer science, math or related field required
  • Ideal candidate would have 2-5 years of prior experience in a joint business/technical role responsible for both development and delivering business results
  • Prior role and/or project experience in Data Science demonstrating strong analytical and problem-solving skills
  • Experience training and implementing supervised and unsupervised machine learning models
  • Strong programming experience, preferably in Python
  • Advanced level of experience with databases and writing SQL
  • Advanced level of experience with Business Intelligence tools, such as, PowerBI, Tableau, etc.
  • Experience with Microsoft Azure and Databricks a plus
  • Experience with Microsoft Office Suite tools including Outlook, Excel, Word, PowerPoint, Access, Vizio, etc.
  • Familiarity with standard data formats including CSV, JSON, XML, etc.
  • Ability to excel in an environment of change, ambiguity, and incomplete information
  • Ability to work with very large, complex and disparate data sources (accessing, connecting, and analyzing)
  • High level of business acumen, retail knowledge and intuition to guide analysis and insights preferred
  • Proven ability to tell a story through data and communicate effectively with key stakeholders.
  • Ability to handle multiple priorities against multiple deadlines
  • Strong written and verbal communication skills with the ability to take and give direction while participating in a team environment
  • Ability to effectively communicate information and respond to questions from groups of peers, managers, and business partners.

Benefits

In addition to a rewarding career, Sprouts offers a comprehensive program to help support you and your family. These programs include:

  • Competitive pay
  • Sick time plan that you can use to support you or your immediate families health
  • Vacation accrual plan
  • Opportunities for career growth
  • 15% discount for you and one other family member in your household on all purchases made at Sprouts
  • Flexible schedules
  • Employee Assistance Program (EAP)
  • 401(K) Retirement savings plan with a generous company match
  • Company paid life insurance
  • Contests and appreciation events throughout the year full of prizes, food and fun!

Eligibility requirements may apply for the following benefits:

  • Bonus based on company and/or individual performance
  • Affordable benefit coverage, including medical, dental and vision
  • Health Savings Account with company match
  • Pre-tax Flexible Spending Accounts for healthcare and dependent care
  • Company paid short-term disability coverage
  • Paid parental leave for both mothers and fathers
  • Paid holidays

Get Paid Every Day!

Sprouts Farmers Market offers DailyPay - if you’re hired as an eligible employee, you’ll be able to transfer the money you’ve already earned at no extra cost, and get it the next business day, for free.  We offer DailyPay so you don’t have to wait for payday to access the money you’ve already worked for. With DailyPay, you can see how much you’ve made every day and you can transfer your money any time before payday.

 You can learn more by visiting https://www.dailypay.com/partners/sprouts-farmers-market/.


Why Sprouts

Grow with us!

If you have a passion for inspiring people and a flair for fresh food, consider applying for a job at Sprouts! With a focus on customer service, our neighborhood grocery stores offer high-quality, farm fresh produce, natural meats, plenty of scoop-your-own bulk goods and much more in a fun, friendly, old-fashioned farmer’s market setting.  Come grow your career in healthy living with a fast-paced, rapidly growing company and teams that pride themselves on empowering others along their journey.

The above statements are intended to describe the general nature and level of the work being performed by people assigned to this work. This is not an exhaustive list of all duties, responsibilities, and requirements. Sprouts’ management reserves the right to amend and change duties, responsibilities, and requirements to meet business and organizational needs as necessary.

Sprouts will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance in Hiring Ordinance.

California Residents: We collect information in accordance with California law, please see here for more information.

Qualifications:
  • Bachelor’s Degree in computer science, math or related field required
  • Ideal candidate would have 2-5 years of prior experience in a joint business/technical role responsible for both development and delivering business results
  • Prior role and/or project experience in Data Science demonstrating strong analytical and problem-solving skills
  • Experience training and implementing supervised and unsupervised machine learning models
  • Strong programming experience, preferably in Python
  • Advanced level of experience with databases and writing SQL
  • Advanced level of experience with Business Intelligence tools, such as, PowerBI, Tableau, etc.
  • Experience with Microsoft Azure and Databricks a plus
  • Experience with Microsoft Office Suite tools including Outlook, Excel, Word, PowerPoint, Access, Vizio, etc.
  • Familiarity with standard data formats including CSV, JSON, XML, etc.
  • Ability to excel in an environment of change, ambiguity, and incomplete information
  • Ability to work with very large, complex and disparate data sources (accessing, connecting, and analyzing)
  • High level of business acumen, retail knowledge and intuition to guide analysis and insights preferred
  • Proven ability to tell a story through data and communicate effectively with key stakeholders.
  • Ability to handle multiple priorities against multiple deadlines
  • Strong written and verbal communication skills with the ability to take and give direction while participating in a team environment
  • Ability to effectively communicate information and respond to questions from groups of peers, managers, and business partners.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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