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At Home Data Scientist Risk Jobs in Ohio (NOW HIRING)

Sidram Technologies

Data Scientist - w2

Columbus, OH · On-site

Data Scientist Contract to Hire Location - Columbus, OH Summary: Our banking client is seeking a ... Experienced at leveraging both structured and unstructured data sources * Willingness and ability ...

Qnity

Senior Data Scientist

Delaware, OH

At Qnity , we're more than a global leader in materials and solutions for advanced electronics and ... For experienced data science candidates, this is an exciting opportunity to join a growing team ...

OCLC, Inc.

Senior Data Scientist

Dublin, OH · On-site

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible ... As a Senior Data Scientist you will work with stakeholders throughout the organization to identify ...

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At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are popular job titles related to At Home Data Scientist Risk jobs in Ohio? For At Home Data Scientist Risk jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching At Home Data Scientist Risk jobs in Ohio look for? The top searched job categories for At Home Data Scientist Risk jobs in Ohio are:
What cities in Ohio are hiring for At Home Data Scientist Risk jobs? Cities in Ohio with the most At Home Data Scientist Risk job openings:
At Home Data Scientist Risk jobs near you
Senior Data Scientist

Senior Data Scientist

Crown Equipment Corporation

New Bremen, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Crown Equipment Corporation rating

8.0

Company rating: 8.0 out of 10

Based on 253 frontline employees who took The Breakroom Quiz

150th of 430 rated machine equipment manufacturers

Job description

Company Description:
Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.
Job Posting External
Primary Responsibilities
  • Build and maintain scalable data science pipelines and workflows using modern tools and frameworks.
  • Implement MLOps practices to ensure model reproducibility, monitoring, and lifecycle management.
  • Collaborate with data engineering teams to ensure data quality, accessibility, and pipeline reliability.
  • Deploy models into production environments and monitor performance over time.
  • Develop and maintain code libraries, documentation, and best practices for data science work.
  • Identify high-value opportunities where advanced analytics can drive business outcomes.
  • Evaluate and recommend new tools, technologies, and approaches to enhance data science capabilities.
  • Lead proof-of-concept initiatives to demonstrate the value of innovative analytical approaches.
  • Establish standards and frameworks for data science work across the organization
  • Design, develop, and deploy predictive and prescriptive models to address key business challenges in manufacturing, supply chain, quality, and operations.
  • Build machine learning models for demand forecasting, production optimization, predictive maintenance, quality prediction, and yield improvement.
  • Develop statistical models to identify root causes of process variations, defects, and operational inefficiencies.
  • Create optimization algorithms for resource allocation, production scheduling, and inventory management.
  • Apply natural language processing and computer vision techniques where applicable to manufacturing use cases.
  • Conduct A/B testing and experimental design to validate hypotheses and measure impact of interventions.
  • Partner with business stakeholders across manufacturing, operations, supply chain, quality, and maintenance to understand requirements and pain points.
  • Work closely with data engineers, analysts, and IT teams to integrate data science solutions into business processes.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field, along with at least 5 years of experience
    • Non-degree considered if 12+ years of related experience along with a high school diploma or GED

Preferred Qualifications
  • 6 years of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization.
  • Experience leading projects that apply ML and data science to business functions.
  • Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS.
  • Knowledge of statistical and data mining techniques such as GLM/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, CNN, RNN.
  • Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models.
  • MS in quantitative discipline (Computer Science, Data Science, Statistics or related fields).
  • Knowledge of Six Sigma, Lean Manufacturing, or related process improvement methodologies.
  • Experience with predictive maintenance, quality analytics, or process optimization in manufacturing.
  • Familiarity with IIoT platforms and edge computing.
  • Experience with computer vision applications for quality inspection or process monitoring.
  • Publications or presentations at data science conferences or in peer-reviewed journals.
  • Certifications in cloud platforms (Azure, AWS) or data science specializations.

Work Authorization:
Crown will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship for work authorization now or in the future, are not eligible for hire.
No agency calls please.
Compensation and Benefits:
Crown offers an excellent wage and benefits package for full-time employees including Health/Dental/Vision/Prescription Drug Plan, Flexible Benefits Plan, 401K Retirement Savings Plan, Life and Disability Benefits, Paid Parental Leave, Paid Holidays, Paid Vacation, Tuition Reimbursement, and much more.
EOE Veterans/Disabilities

What Crown Equipment Corporation employees say

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About Crown Equipment

Sourced by ZipRecruiter

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Industry

Trucking and warehousing and storage

Company size

10,000+ Employees

Headquarters location

New Bremen, OH, US

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