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Remote Behavioral Data Science Jobs in Ohio (NOW HIRING)

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

The successful candidate will work closely with analysts, data scientists, and application teams to deliver scalable, secure, and high-quality data solutions. This is a remote position requiring all ...

Senior Scientist

Dayton, OH · Remote

$88K - $121K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics.

Senior Scientist

Dayton, OH · On-site +1

$88K - $121K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics.

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar. * Background in signal processing, image processing, or remote sensing data workflows. * Experience with ...

Showing results 41-60

Remote Behavioral Data Science information

What are the key skills and qualifications needed to thrive as a remote behavioral data scientist?

To thrive as a Remote Behavioral Data Scientist, you need expertise in statistical analysis, machine learning, behavioral science, and a degree in a related field such as psychology, statistics, or computer science. Proficiency with data analysis tools like Python, R, SQL, and experience with data visualization platforms and cloud-based collaboration systems are typically required. Strong communication, critical thinking, and self-motivation are vital soft skills for presenting findings and working independently within remote teams. These skills ensure effective analysis of human behavior data, actionable insights, and successful collaboration in distributed work environments.

What is remote behavioral data science?

Remote behavioral data science is a field where professionals analyze and interpret data related to human behavior, often using statistical methods, machine learning, and data visualization, all while working from a remote location. These scientists work with data from sources such as online interactions, surveys, or sensors to uncover insights into patterns, preferences, and decision-making. Remote roles allow for flexibility and collaboration with teams and clients around the world, using digital tools for communication and data analysis. This field is interdisciplinary, drawing from psychology, data science, and computer science.

How do remote behavioral data scientists typically collaborate with cross-functional teams to drive impactful insights?

Remote behavioral data scientists regularly work with cross-functional teams such as product managers, UX researchers, and engineers to translate user data into actionable recommendations. Collaboration often happens via virtual meetings, shared dashboards, and project management tools, ensuring alignment on goals and data interpretations. Effective communication and documentation are crucial, as data scientists must clearly explain complex analyses and behavioral patterns to non-technical stakeholders. This collaborative environment not only fosters innovation but also ensures that data-driven insights meaningfully inform product and business decisions.

What are the most commonly searched types of Behavioral Data Science jobs in Ohio?

The most popular types of Behavioral Data Science jobs in Ohio are:

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

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

What job categories do people searching Remote Behavioral Data Science jobs in Ohio look for?

The top searched job categories for Remote Behavioral Data Science jobs in Ohio are:

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

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

VP of Analytics, Insight, and Data Products

Goodyear

Akron, OH • On-site, Remote

Full-time

Re-posted 7 days ago


Goodyear Tire & Rubber rating

6.3

Company rating: 6.3 out of 10

Based on 383 frontline employees who took The Breakroom Quiz

492nd of 540 rated manufacturers


Job description

The Vice President of Analytics, Insight, and Data Products will be responsible for the creation of high-value data and actionable insights as well as the deployment of diagnostic and predictive analytical approaches (incl. Mathematical Models, Machine Learning, Artificial Intelligence). This role will inform product strategy, sales and operations, marketing, and other business decisions that drive results to achieve the targets of Goodyear's Plan. The successful candidate will have a proven track record in data and analytics leadership, a deep understanding of advanced data and analytics techniques, and the ability to foster a data-driven culture across the organization.

Job Duties / Responsibilities may include, but are not limited to:

Data and Platform Oversight

  • Data Infrastructure: Lead the design and implementation of robust data infrastructure to support analytics and business intelligence
  • Database Engineering: Manage database engineering efforts to optimize data storage and retrieval
  • Data Warehousing: Ensure effective data warehousing solutions that support efficient data management and reporting
  • High-Value Data and Actionable Insights Creation: Drive the creation of high-value assets that support strategic decision-making
  • Partner cross-functionally with the Information Technology and Digital Organization

Consumer and Customer Analytics and Insights

  • Customer Data Platforms: Develop and manage customer data platforms to capture and analyze customer behavior and preferences
  • Consumer Segmentation: Oversee consumer segmentation efforts to identify and target key audience segments
  • Trend Identification: Lead efforts to identify consumer trends and behaviors to inform product development and marketing strategies
  • Target Audience Development: Develop and refine target audience profiles to enhance marketing effectiveness
  • Propensity Modelling: Leverage to predict customer behavior in the purchase funnel (incl. purchase intent) and optimize marketing efforts
  • First Party Custom Research: Conduct and oversee first-party custom research to gather unique consumer insights
  • Customer Insights: Translate data into actionable customer insights to drive business growth and customer satisfaction

Marketing Analytics and Insights

  • Website Analytics: Oversee website analytics to optimize online user experience and engagement
  • Marketing Mix Modelling: Develop and implement marketing mix models to evaluate and optimize marketing investments
  • Predictive Analytics: Utilize predictive analytics to forecast marketing outcomes and inform strategy
  • Advanced Marketing Attribution: Lead advanced marketing attribution efforts to accurately measure the impact of marketing activities
  • Other Marketing Analytics: Support various marketing analytics initiatives to enhance marketing performance and ROI

Business Analytics and Insights:

  • Industry Sizing and Trends: Characterize the tire industry and growth opportunities
  • Commercial Performance: Analyze commercial performance data to identify opportunities for growth and improvement
  • Brand Analytics: Define Brand equity and strength
  • Network Analytics: Oversee network analytics to optimize distribution and operational efficiency
  • Product Analytics: Lead product analytics efforts to inform product development and lifecycle management
  • Pricing Analytics: Utilize pricing analytics to develop competitive pricing strategies
  • Competitive Analysis: Conduct competitive analysis to inform strategic planning and positioning
  • SWOT Analysis: Perform SWOT analysis to identify strengths, weaknesses, opportunities, and threats
  • Other Business Analytics: Support a wide range of business analytics initiatives to drive strategic decision-making

Enterprise Analytics and Insights

  • Manufacturing Analytics: Oversee manufacturing analytics to optimize production processes and improve efficiency
  • Workforce Analytics: Lead workforce analytics to inform talent management and operational planning
  • Operational Analytics: Drive operational analytics to enhance business processes and performance
  • Financial Analytics: Utilize financial analytics to support budgeting, forecasting, and financial planning
  • Other Operational Analytics: Support various operational analytics initiatives to improve overall business operations

Key Experience

  • Bachelor's degree in Business Administration, Applied Economics, Data Engineering, Data Science, Mathematics, or related field; Advanced Degree Preferred
  • Minimum of 10 years of experience in data, analytics, and insights, with experience leading large, multi-functional teams
  • Proven track record of developing and implementing successful data and analytics strategies in a global organization
  • Experience in the manufacturing or automotive industry is a plus

Key Skills

  • Expertise in advanced analytics, data science, machine learning, and AI
  • Proficiency with analytics tools and platforms (e.g., Python, R, SQL, Tableau, Power BI)
  • Demonstrated ability using Monte Carlo simulations, Real Options, Simulations leveraging a Digital Twin, Causal inference, Bayesian Decision Analysis
  • Strong understanding of data management, data governance, and data architecture
  • Exceptional leadership and team management capabilities
  • Skilled in providing data-based advice to the senior executive leadership team
  • Ability to influence and collaborate with senior executives and cross-functional teams
  • Strong problem-solving skills and a strategic mindset
  • Excellent verbal and written communication skills
  • Ability to present complex analytical concepts to non-technical stakeholders

#LI-FA1


Goodyear is one of the world's largest tire companies. It employs about 63,000 people and manufactures its products in 49 facilities in 19 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate


If you need reasonable accommodation to complete the online application, or any other part of the employment process, please contact the Goodyear Candidate Care Line at 330.796.4500.


Goodyear is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by law.


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