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Research Python Jobs in Ohio (NOW HIRING)

As a Principal Research Scientist you will apply your skills to a wide variety of problems and ... Develop ATR algorithms using Python, MATLAB, C++, and other languages for real world applications.

As a Principal Research Scientist you will apply your skills to a wide variety of problems and ... Develop ATR algorithms using Python, MATLAB, C++, and other languages for real world applications.

Competence with key tools and data analysis software's ( SPSS, Excel, Python, Stata). * Good analytical skills with experience in data synthesis and reporting. * Experience in conducting research ...

Competence with key tools and data analysis software's ( SPSS, Excel, Python, Stata). * Good analytical skills with experience in data synthesis and reporting. * Experience in conducting research ...

Research Scientist-Computed Tomography

Orange, OH ยท On-site

$114.75K - $183.60K/yr

... Python and C++ preferred. Demonstrated ability to develop and optimize technical solutions in ... research and product development settings. * Strong expertise in CT physics processing algorithms ...

Equity Research Analyst, Fiera Capital, Inc., Dayton, Ohio. Your responsabilities: * Perform ... Of experience required, must have 3 years: * coding in Python, C# & SQL; performing fundamental ...

Equity Research Analyst, Fiera Capital, Inc., Dayton, Ohio. Your responsabilities: * Perform ... Of experience required, must have 3 years: * coding in Python, C# & SQL; performing fundamental ...

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Research Python information

What are the key skills and qualifications needed to thrive as a Research Python Developer, and why are they important?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python Developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.

What is a Research Python Developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

What cities in Ohio are hiring for Research Python jobs? Cities in Ohio with the most Research Python job openings:
Research Analyst

Research Analyst

Youngstown State University

Youngstown, OH โ€ข Hybrid

Full-time

Posted 2 days ago


Job description

Summary of Position Collects, analyzes, and reports data across academic and administrative areas. Develops and delivers regular and ad hoc reports to meet external reporting requirements and internal data needs. Designs interactive dashboards to support institutional planning, decision-making, and process improvement.

Position Information Essential Functions and Responsibilities:Completes Integrated Postsecondary Education Data System (IPEDS) and Higher Information System (HEI) reporting for the state of Ohio, Student-Right-to Know, and other required submissions. Designs and develops dashboards and reports in Power BI for internal and external stakeholders. Utilizes advanced SQL (PL/SQL, Oracle) skills to query large datasets, join relational tables, and extract meaningful insights.

Builds and maintains workflow automation solutions to streamline repetitive tasks such as ETL processes, report generation, and dashboard updates. Establishes data governance and collection methodologies; validates, cleans, and integrates data from multiple sources to ensure accuracy, consistency, and security. Supports continuous quality improvement initiatives for reporting, analytics, and data integrity.

Develops, implements, maintains, and executes routine standardized and ad hoc reports and common data sets. Collaborates with department to implement data governance best practices. Documents data procedures, reporting protocols, and process standards to ensure consistency and transparency.

Other Functions and Responsibilities:Assists with training new hires. Performs other duties as assigned and/or required that are within the level of responsibility for this classification at the discretion of the supervisor. Equipment Operated:Computer and all other standard office equipment.

Work Schedule:Typically, Monday through Friday, Potential for remote work. Supervision Exercised:May exercise supervision over student employees. Reports to: Director of Institutional Research, Institutional Research and Analytics Qualifications and Competencies Required Certifications, Training, and/or Licensures:None Knowledge, Skills, and Abilities: Knowledge of: University policies and procedures*; office practices and procedures; department/division goals and objectives*; department/division policies and procedures*; workplace safety practices and procedures*; English grammar and spelling; records management; office management; project management.

Skill in: Exhibiting a strong attention to detail and commitment to data integrity;use of office equipment; typing, data entry; computer operation; use of computer software and other programs applicable to the assigned department/division*. Ability to: Display strong data illustration and explanation capabilities for both internal and externally derived data; effectively manage multiple projects simultaneously; explain capabilities for both internal and externally derived data; work effectively within the data enterprise systems and beyond; ability to work within an organizational structure requiring strong collaboration within an office and with others; collect data, establish facts, and draw valid conclusions; determine material and equipment needs; compile and prepare reports; use proper research methods to gather data; understand a variety of written and/or verbal communications; maintain records according to established procedures; effectively interact with personnel and public to answer routine questions; train or instruct others; move quickly and effectively from one tasks to another; work independently and in a team environment; develop and maintain effective working relationships. (*) Developed after employment.

Minimum Qualifications:At least a bachelor's degree in a related field such as data analytics, data science, statistics, math, or computer science; and one or more years of relevant experience in data analysis. Preferred Qualifications:Master's degree. Experience with compliance reporting and surveys for higher education (IPEDS, HEI, CDS, etc.).

Experience working in institutional research. Experience with Ellucian Banner and Ellucian Operational Data Store (ODS). Ability to extract, integrate, and model data from these systems.

Experience in developing dashboards and reports in Power BI. Strong understanding of data analysis and business intelligence (BI) tools (e.g., Excel, Power BI), as well as statistical and programming tools such as SPSS, SAS, R, Python, and SQL. Excellent analytical and critical thinking skills with the ability to interpret data and communicate insights effectively.

Experience working in higher education.