Data Scientist
Dearborn, MI · Remote
... ontology-informed modeling approaches. The candidate will help ensure that analytical outputs are ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...
Data Scientist
Dearborn, MI · Remote
... ontology-informed modeling approaches. The candidate will help ensure that analytical outputs are ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...
Ontology Remote information
What is an ontology remote?
Ontology remote jobs involve working with the design, development, and management of ontologies—structured frameworks for organizing information—while operating from a location outside of a traditional office setting. Professionals in these roles may create data models, standardize vocabularies, and ensure data consistency across systems, often supporting projects in fields like knowledge management, artificial intelligence, healthcare, or libraries. Remote ontology specialists typically collaborate with teams through digital communication tools and may work for tech companies, research organizations, or consulting firms. These positions require strong analytical skills and a background in information science, computer science, or related areas.
What skills and qualifications are needed to thrive as an ontology remote?
To thrive as an Ontology Remote Specialist, you need a solid background in data modeling, knowledge representation, and semantic technologies, often supported by a degree in computer science, information science, or a related field. Familiarity with tools and standards like OWL, RDF, SPARQL, and ontology development platforms such as Protégé is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate remotely and translate complex concepts for diverse teams. These skills are vital to ensure precise data integration, interoperability, and successful remote teamwork in knowledge-driven organizations.
How does working remotely as an ontology remote impact collaboration and communication with team members?
As a remote Ontology Specialist, you will frequently collaborate with cross-functional teams, such as data engineers, software developers, and subject matter experts, often using digital communication tools like Slack, Zoom, and project management platforms. Clear and proactive communication is essential, as you may work across different time zones and need to document your work thoroughly to ensure alignment. Regular check-ins, virtual meetings, and shared documentation help maintain effective teamwork and ensure that ontology models are developed and integrated smoothly. Adapting to asynchronous communication and being responsive to feedback are common challenges, but they also foster independence and strong organizational skills.
What is the difference between Ontology Remote vs Data Analyst?
| Aspect | Ontology Remote | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in Computer Science, Data Science, or related field; knowledge of ontology modeling | Bachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools |
| Work Environment | Remote, often collaborative with cross-disciplinary teams | Remote or on-site, working with data sets and reporting tools |
| Industry Usage | Used in AI, semantic web, and knowledge management projects | Used across finance, healthcare, marketing, and more for data insights |
Ontology Remote professionals focus on developing and managing ontologies for AI and knowledge systems, requiring specialized understanding of semantic structures. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles may work remotely and require analytical skills, Ontology Remote emphasizes semantic modeling, whereas Data Analysts focus on data interpretation and reporting.
What are the most commonly searched types of Ontology jobs in Michigan?
The most popular types of Ontology jobs in Michigan are:
What are popular job titles related to Ontology Remote jobs in Michigan?
For Ontology Remote jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ontology Remote jobs in Michigan look for?
The top searched job categories for Ontology Remote jobs in Michigan are:
Full-time
Medical, Dental, Vision, Life, PTO
Re-posted 13 days ago
Ford Motor Company rating
7.6
Based on 525 frontline employees who took The Breakroom Quiz
13th of 45 rated automakers
Job description
The Senior Data Scientist will design and implement advanced systems that support cross-domain manufacturing analytics. This role operates at the intersection of optimization, enterprise data integration, and applied analytics to enable data-driven decision-making across complex business workflows.
Key responsibilities include:
Developing and maintaining Python-based optimization models to support demand elasticity, production planning, and constraint-based decision frameworks.
Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using BigQuery, GCS, and Python.
Performing data reconciliation, fuzzy matching, and standardization across inconsistent source systems to ensure data quality and analytical integrity.
Designing and deploying lightweight internal applications (e.g., Dash-based tools) and contributing to containerized deployments to enable business-facing access to decision models.
Collaborating with cross-functional stakeholders to translate business questions into optimization and analytical frameworks.
In addition, this role will contribute to the development of semantically aligned data structures by supporting feature definition consistency, cross-system mapping, and ontology-informed modeling approaches. The candidate will help ensure that analytical outputs are built on clearly defined entities, relationships, and assumptions to enable scalable reasoning and reuse across domains.
The ideal candidate combines strong technical modeling capability with practical enterprise data engineering experience and the ability to operate effectively in ambiguous, cross-functional environments.
Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research, or equivalent field.
3+ years of experience developing analytical or optimization models in Python.
Experience building and maintaining data pipelines using SQL and cloud-based data platforms (e.g., BigQuery, GCS).
Strong proficiency in Python for data analysis and modeling (e.g., pandas, NumPy, Pyomo or similar optimization libraries).
Experience integrating and standardizing heterogeneous enterprise datasets.
Familiarity with containerization concepts (e.g., Docker) and deploying lightweight applications or services in a cloud environment.
Ability to translate business problems into structured analytical frameworks.
Strong written and verbal communication skills with experience working cross-functionally.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary
This role is remote but if you live within 50 miles within Dearborn, MI, you will be required on-site 4x a week.
*Visa Sponsorship IS provided for this specific role*
*Relocation assistance IS provided for this specific role*
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
#LI-Remote
#LI-DS2
SG7-8
Design, develop, and maintain Python-based optimization models to support demand elasticity, production planning, and constraint-based decision systems.
Translate complex business problems into structured analytical and optimization frameworks.
Build and maintain data pipelines using BigQuery, GCS, and Python to integrate heterogeneous enterprise data sources.
Perform data reconciliation, fuzzy matching, and standardization across inconsistent datasets to ensure analytical integrity.
Develop lightweight internal applications (e.g., Dash or streamlit) to operationalize analytical outputs for business users.
Contribute to containerized deployments to support scalable and maintainable delivery of decision tools.
Partner with cross-functional stakeholders to define requirements and validate outputs.
Support semantic alignment across systems by contributing to feature definition consistency, cross-system mapping, and ontology-informed data structures.
Document modeling assumptions, data transformations, and system dependencies to enable reproducibility and reuse.
Continuously improve model performance, data quality, and deployment efficiency across decision systems.
What Ford Motor Company employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Ford Motor Company
Sourced by ZipRecruiter
Industry
Motor vehicle manufacturing and trucking
Company size
10,000+ Employees
Headquarters location
Dearborn, MI, US