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Description We are in the hunt for a proficient Data Scientist to be a part of our dynamic team. This role is based in Akron, Ohio, and will be a part of our thriving industry. The Data Scientist will play a pivotal role in harnessing data to drive strategic decisions and enhance educational outcomes.

Responsibilities

• Analyze datasets to pinpoint trends and patterns relating to student performance, attendance, and other educational metrics.

• Develop predictive and interpretive models using statistical analysis to comprehend trends in school performance and student outcomes.

• Design and implement visual representations of data insights to effectively communicate findings to stakeholders.

• Provide quantitative support and market understanding to partners across the organization to promote data-informed decision-making.

• Measure the success of educational initiatives through the monitoring and forecasting of key metrics.

• Design and execute data collection systems and strategies to optimize statistical efficiency and data quality.

• Collaborate with various teams, including marketing, finance, operations, and external partners to integrate data insights into overall educational strategies.

• Utilize programming languages such as Python, R, or SQL for data analysis and model development.

• Identify opportunities to enhance operations through data-driven insights and recommendations.

• Generate detailed reports and dashboards that summarize data insights for senior management and other stakeholders. Requirements • Candidate must possess a minimum of 5 years of experience in the field of Data Science.

• Proficiency in BigQuery is a mandatory requirement for this position.

• Applicants should have extensive experience using Power BI for data visualization and analysis.

• In-depth knowledge of Data Science principles and methodologies is essential.

• A strong understanding of statistical analysis, predictive modeling, and data mining techniques is required.

• The role demands a high degree of familiarity with machine learning algorithms and their implementation.

• The ability to interpret and analyze complex data sets and convert them into actionable insights is a key requirement.

• Candidates should be capable of working collaboratively within a team as well as independently, demonstrating excellent problem-solving skills.

• Strong communication skills, both written and verbal, are necessary to effectively present data-driven insights to non-technical team members and stakeholders.

• Applicants should be comfortable working in a fast-paced, dynamic environment, and be able to manage multiple projects simultaneously. Technology Doesn't Change the World, People Do.®

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