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Data Science Manager Remote Jobs in Ohio (NOW HIRING)

dunnhumby

Senior Applied Data Scientist

Cincinnati, OH · On-site +1

May telecommute 100% of the time from their home office, consistent with dunnhumby's remote work ... Deploy data science algorithms and market products on chosen tech stack for efficient and cost ...

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT ... Develop data analytics and visualizations by applying proven, industry-standard data science ...

DataAnnotation

Decision Scientist

Wyoming, OH · 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 ...

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT ... Develop data analytics and visualizations by applying proven, industry-standard data science ...

Premier Health

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home Flexibility * Comprehensive Health Benefits * Generous paid vacation/ Time-Off-Program * 401(k) with ...

Premier Health

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home Flexibility * Comprehensive Health Benefits * Generous paid vacation/ Time-Off-Program * 401(k) with ...

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Data Science Manager Remote information

What are the key skills and qualifications needed to thrive as a Data Science Manager (Remote), and why are they important?

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 working remotely 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 does a remote 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 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 job categories do people searching Data Science Manager Remote jobs in Ohio look for? The top searched job categories for Data Science Manager Remote jobs in Ohio 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:
Data Science Manager Remote jobs near you
Infographic showing various Data Science Manager Remote job openings in Ohio as of May 2026, with employment types broken down into 100% Full Time. Highlights an 8% In-person, and 92% Remote job distribution.
Manager, Predictive Analytics and Data Science- NLP/AI experience is a must

Manager, Predictive Analytics and Data Science- NLP/AI experience is a must

CareSource

Dayton, OH • On-site, Remote

$94.10K - $164.80K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

CareSource rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

174th of 259 rated insurance

Job description

Job Summary:
The Manager, Predictive Analytics and Data Science is responsible for serving as the leader, subject matter expert, teacher, and mentor of the Predictive Analytics and Data Science team.
Essential Functions:
  • Lead a team of data scientists and analysts to develop and execute predictive analytics projects and initiatives
  • Collaborate with cross-functional teams, including IT, healthcare operations, finance, and clinical teams, to identify opportunities for data-driven solutions and predictive modeling applications
  • Develop and implement predictive models, algorithms, and statistical techniques to extract insights from large and complex healthcare datasets
  • Utilize machine learning algorithms to identify patterns, trends, and opportunities for improving operational efficiency, cost containment, and patient care
  • Utilize Natural Language Processing (NLP) algorithms and techniques to process and analyze unstructured healthcare data, such as clinical notes, patient feedback, and medical literature, to extract meaningful insights
  • Conduct rigorous data analysis, including data cleansing, feature engineering, and exploratory data analysis, to derive meaningful insights and actionable recommendations
  • Stay abreast of emerging trends, tools, and techniques in predictive analytics, data science, and healthcare informatics to drive innovation and continuous improvement
  • Collaborate with stakeholders to define key performance indicators (KPIs), develop metrics, and create dashboards and reports that effectively communicate insights and support decision-making
  • Provide strategic guidance and recommendations to senior leadership based on data analysis and predictive modeling results
  • Mentor and develop team members, fostering a collaborative and innovative work environment
  • Ensure compliance with data privacy and security regulations and maintain the highest standards of data integrity

Education and Experience:
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is required
  • Master's degree or PhD is preferred
  • Minimum of one (1) year of experience with cloud services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflakes) is required
  • Minimum of five (5) years of experience in predictive analytics, data science, or a related field, preferably within the healthcare industry or managed care organizations

Competencies, Knowledge and Skills:
  • Strong expertise in statistical modeling, machine learning techniques, and predictive analytics tools such as Python, or R
  • Proficiency in data manipulation, data visualization, and SQL for data extraction and analysis
  • Proficient with MS office (Excel, PowerPoint, Word, Access)
  • Ability to perform advanced statistical analysis and modeling such as liner and non-liner regression, sampling, and Markov chains
  • Extensive knowledge of predictive modeling, machine learning algorithms such as clustering, decision trees, dimensionality reduction and NLP
  • Expertise in NLP techniques and tools such as natural language understanding, sentiment analysis, named entity recognition, topic modeling, and text classification
  • Expertise in Optical Character Recognition (OCR) technologies, including data extraction from scanned documents, forms, and invoices, and proficiency in OCR tools and libraries
  • Experience with healthcare data sets, including claims data, electronic health records (EHR), and population health data
  • Knowledge of healthcare operations, payer and provider models, and industry trends
  • Proficient in feature engineering techniques and exploratory data analysis
  • Working knowledge of optimization techniques and artificial intelligence methods
  • Excellent analytical, problem-solving, and critical-thinking skills, with the ability to translate complex data into actionable insights
  • Strong project management skills, with the ability to lead and prioritize multiple projects simultaneously.
  • Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders
  • Leadership qualities, including the ability to mentor and develop a team, foster collaboration, and drive results
  • Comfortable reading academic research papers and applying them in the models

Licensure and Certification:
  • None

Working Conditions:
  • General office environment; may be required to sit or stand for extended periods of time

Compensation Range:
$94,100.00 - $164,800.00
CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type (hourly/salary):
Salary
Organization Level Competencies
  • Fostering a Collaborative Workplace Culture
  • Cultivate Partnerships
  • Develop Self and Others
  • Drive Execution
  • Influence Others
  • Pursue Personal Excellence
  • Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
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