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Remote Amazon Food Science Jobs in Ohio (NOW HIRING)

The WFP Data Science organization is tasked with delivering quantitatively driven solutions to ... This position is not hybrid nor remote. ABOUT US Chase is a leading financial services firm ...

Services Product Architect - REMOTE

Cincinnati, OH ยท On-site +1

$110K - $221K/yr

Graduated college with a degree in engineering, computer science, etc. * Previous experience with ... Experience with Windows and/or Linux operating system, Amazon Web Services and/or Microsoft Azure ...

Senior Staff Agentic AI Engineer

Columbus, OH ยท On-site +1

$102K - $139K/yr

Bachelor's Degree in Computer Science or related field of study. * 12+ years of experience in ... Amazon Web Services (AWS) * Datadog * OpenAI * Grafana * Graph Databases * Large Language Models ...

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Remote Amazon Food Science information

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

To excel as a Remote Amazon Food Scientist, you need a background in food science or a related field, strong analytical skills, and experience with product development or quality assurance. Familiarity with data analysis tools, food safety regulations, and digital collaboration platforms like AWS or Slack is typically required. Strong communication, problem-solving ability, and self-motivation are critical soft skills for remote teamwork and innovation. These skills and qualifications ensure effective product development, compliance, and seamless collaboration in a virtual environment.

What are the typical challenges faced by remote Amazon Food Science professionals, and how can they overcome them?

Remote Amazon Food Science professionals often encounter challenges such as coordinating product development and testing with on-site teams, ensuring compliance with food safety regulations, and maintaining effective communication across different time zones. Overcoming these challenges requires strong project management skills, proficiency with digital collaboration tools, and proactive communication to keep all stakeholders aligned. Building relationships with cross-functional teams and staying updated on regulatory changes also help remote employees contribute effectively and advance in their roles.

What is a Remote Amazon Food Science job?

A Remote Amazon Food Science job involves working for Amazon in roles related to food science, such as research and development, food safety, product quality, and regulatory compliance, but from a remote location. Employees in these positions may analyze food products, develop new offerings, or ensure products meet safety standards, all while collaborating virtually with teams. These roles often require a background in food science or a related discipline and strong communication and analytical skills. Remote positions offer flexibility, allowing professionals to work from home or other locations rather than from a traditional office or laboratory setting.
What are the most commonly searched types of Amazon Food Science jobs in Ohio? The most popular types of Amazon Food Science jobs in Ohio are:
What are popular job titles related to Remote Amazon Food Science jobs in Ohio? For Remote Amazon Food Science jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Remote Amazon Food Science jobs? Cities in Ohio with the most Remote Amazon Food Science job openings:
Infographic showing various Remote Amazon Food Science job openings in Ohio as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, 2% Contract, and 1% Summer. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
WFP Machine Learning Scientist

WFP Machine Learning Scientist

J.P. Morgan

Columbus, OH โ€ข On-site, Remote

Full-time

Medical, Retirement

Posted 18 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

The Workforce Planning (WFP) organization is a part of Consumer and Community (CCB) Operations division. The WFP Data Science organization is tasked with delivering quantitatively driven solutions to support the core WFP functions (demand forecasting, capacity planning, resource scheduling, and business analysis & support). The WFP organization supports Chaseโ€™s call centers, back office, and ~5,200 retail branches.

As a Data Scientist Lead - WFP Machine Learning Scientist, within JPMorganChase, you will engage in projects by the Artificial Intelligence(AI)/Machine Learning(ML) team that can be complex, data intensive, and of a high level of difficulty, each having significant impact on the business.  You will typically encounter these problems which will be of an unstructured nature, whereby the employee will be expected to quickly assess and comprehend the situation then develop a practical problem solving strategy.  You will be expected to analyze the topic in question, develop solution proposals and review their results and next steps with management for prioritization, timing, and delivery. The AI/ML team is tasked with building next-gen data science solutions that move us closer to real-time inference and decision making.

Job Responsibilities

  • Design and development of Machine Learning, Artificial Intelligence and Statistical models.
  • Participate in the full model development lifecycle, from framing the problem to prepare documentation and passing independent model review (MRGR).
  • Lead AI/ML projects along with mentor and coach junior team members.
  • Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution.
  • Identify and select the correct method to solve the problem while staying up to data on the latest AI/ML research
  • Ensure the robustness of any data science solution.
  • Develop and communicate recommendations and data science solutions in easy-to-understand-way leveraging data to tell a story.
  • Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution.

Required Qualifications, Capabilities, and Skills

  • Masterโ€™s Degree with 5+ years or Doctorate (PhD) with 3+ years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
  • 2+ years of experience leading AI/ML projects with multiple team members
  • Hands-on experience developing statistical models, machine learning models, and/or artificial intelligence models.
  • Deep understanding of math and theory behind AI/ML algorithms.
  • Proficient in data science programming languages like Python, R or Scala.
  • Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).
  • Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence. 

Preferred Qualifications, Capabilities, and Skills

  • Advanced expertise with Time Series and Operations Research techniques. 
  • Natural Language Processing(NLP)/Natural Language Generation(NLG), Neural Nets, or other ML/AI skills.
  • Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google Cloud Platform(GCP).
  • Previous experience leading highly complex cross-functional technical projects with multiple stakeholders

This position is full time in office Monday - Friday.  This position is not hybrid nor remote.

ABOUT US

Chase is a leading financial services firm, helping nearly half of Americaโ€™s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicantsโ€™ and employeesโ€™ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Weโ€™re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions โ€“ all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.