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Data Science Manager Remote Jobs in Ohio (NOW HIRING)

Data Strategist

Continental, OH · Remote

$115K - $125K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Master's degree in Data Science, Analytics, Information Management, or related discipline.

... and management. * Work in partnership with data science teams and with business analysts in ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... management. Work in partnership with data science teams and with business analysts in refining ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... and management. * Work in partnership with data science teams and with business analysts in ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0241818 Location: Dayton,OH,US Share job via: Share Data Analyst The ... Develop data analytics and visualizations by applying proven, industry-standard data science ...

Five (5) years of experience in predictive analytics, data science, or a related field, preferably within the healthcare industry or managed care organizations required * One (1) year of experience ...

Strategic Data Scientist

Columbus, OH · On-site +1

$108K - $181K/yr

Understanding of data science methodologies including decision trees, multivariate analysis ... Able to communicate and manage expectations.    Preferred Skills  * Industry Expertise  ...

Channel Manager - Remote

Dublin, OH · On-site +1

$67K - $108K/yr

The Job As a hybrid Channel Manager, you'll be part of our Mac Tools team working as a remote ... Support reporting and data requests to help drive the business. * Interact with all aspects of the ...

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

... science, technology, and innovation problems. This work is in support of US Air Force and ... Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree ...

Showing results 21-40

Data Science Manager Remote information

What does a data science manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

What are the key skills and qualifications needed to thrive as a data science manager?

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a data science manager typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

What is the difference between Data Science Manager Remote vs Data Analyst Remote?

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

What are popular job titles related to Data Science Manager Remote jobs in Ohio?

For Data Science Manager Remote jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Data Science Manager Remote jobs?

Cities in Ohio with the most Data Science Manager Remote job openings:

Infographic showing various Data Science Manager Remote job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Ontology & Standards Engineer/Scientist

Apogee Engineering, LLC

Dayton, OH • On-site, Remote

Full-time

Posted 4 days ago


Job description

Overview

Apogee is seeking a Data Ontology & Standards Engineer/Scientist to Lead the design and governance of mission-focused data ontologies, standards, and knowledge models to enable interoperable, integrated intelligence data across NASIC and partner enterprises.

****Contingent Upon Contract Award****

Responsibilities
  • Develop and maintain knowledge models, including mission-relevant terms, definitions, hierarchies, and relationships.
  • Define and document data standards that enable consistent data integration and reuse.
  • Collaborate with cross-functional teams (mission analysts, engineers, architects, data owners) to validate and adopt standards.
  • Guide data architecture planning and standard approval processes in coordination with governance bodies.
  • Support integration of ontologies and standards into tools, repositories, and workflows.
  • Produce the monthly Data Ontology Posture Report documenting progress against mission requirements and recommended standards.
Qualifications

Minimum Experience:

Citizenship: Must be a US citizen Clearance: Ability to obtain and maintain TS/SCIEducation / Years of Experience:

  • Bachelor's degree in Information Science, Computer Science, Data Science, or related field.
  • 8+ years of experience in data architecture, ontology/metadata design, or enterprise data management.
  • Experience defining and managing controlled vocabularies, taxonomies, or ontologies in complex domains.
  • Strong understanding of data modeling concepts and data integration patterns.
  • Demonstrated ability to lead cross-functional standards and governance efforts.

Preferred Qualifications:

  • Experience with semantic technologies (e.g., RDF/OWL, knowledge graphs) or standards such as UML, OWL, or SKOS.
  • Background in intelligence data standards or community data models.
  • Experience implementing data standards within cloud or enterprise platforms.
  • Familiarity with MBSE, digital engineering, or analytics platforms that consume standard data models.

Additional InformationLocation:  Wright Patterson AFB Dayton, OHOn-site/Hybrid/Remote: On-siteTravel: Occassional

Employment Type: FULL_TIME