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Data Analyst Github Jobs in Springfield, OH (NOW HIRING)

CareSource

AI Developer (HealthCare Experience)

Dayton, OH · On-site +1

$94K - $164K/yr

MLOPs pipeline, CI/CD, Model Deployment, Docker, Kubernetes, Azure Cloud, Github, etc * Core Skills ... Perform data preprocessing and analysis on large datasets to uncover actionable insights * Train ...

micro1 AI

Cheminformatics Specialist - Remote

Dayton, OH · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Bioinformatics Software Engineer

Dayton, OH · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Tangram Flex

Software Engineer - Analytics

Dayton, OH

... data harvesting, automation, and API definition * Implement MBSE methodologies that align with ... Proficiency with Git-based development workflows (GitLab/GitHub) * Understanding of CI/CD pipelines ...

Tangram Flex

Software Engineer - Analytics

Dayton, OH · On-site

... data harvesting, automation, and API definition * Implement MBSE methodologies that align with ... Proficiency with Git-based development workflows (GitLab/GitHub) * Understanding of CI/CD pipelines ...

Tangram Flex

Software Engineer - Analytics

Dayton, OH · On-site

... data harvesting, automation, and API definition * Implement MBSE methodologies that align with ... Proficiency with Git-based development workflows (GitLab/GitHub) * Understanding of CI/CD pipelines ...

Concept Plus

QA Lead

Dayton, OH · On-site +1

Conduct root cause analysis (RCA) and risk mitigation to reduce recurring defects in high ... Knowledge of Government Quality Requirements, Performance Work Statements (PWS), and Contract Data ...

DCS Corp

PlatformOne Software Engineer

Dayton, OH

Troubleshoot, analyze, and resolve complex software, integration, performance, and deployment ... Experience with relational databases, SQL, data management, data integration, or enterprise service ...

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Showing results 21-40

All JobsData Analyst Github JobsData Analyst Github Jobs in Springfield, OH

Data Analyst Github information

See Springfield, OH salary details

$30.6K

$74.4K

$122.5K

How much do data analyst github jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data analyst github in Springfield, OH is $74,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $87,400.00 per year, depending on experience, location, and employer.

How does a data analyst at GitHub typically collaborate with engineering and product teams?

At GitHub, Data Analysts frequently work alongside engineering and product teams to translate business questions into actionable data insights. They participate in cross-functional meetings, help define key metrics, and build dashboards or reports tailored to the needs of different stakeholders. Effective collaboration requires strong communication skills, as analysts must explain complex data findings to both technical and non-technical colleagues. This collaborative environment fosters continual learning and often provides opportunities to contribute to strategic decisions that impact the direction of products and features.

What are the key skills and qualifications needed to thrive as a data analyst at GitHub, and why are they important?

To thrive as a Data Analyst on GitHub, you need strong analytical skills, experience in statistics, and proficiency in data manipulation using languages like Python or SQL, often backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), Git version control, and GitHub workflows is essential, and certifications in data analysis or related fields are advantageous. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating on open-source projects and sharing insights. These competencies enable accurate data-driven decision-making, efficient project collaboration, and impactful contributions to the GitHub community.

What is a data analyst at GitHub?

Data Analysts on GitHub are professionals or contributors who use the platform to share, collaborate, and manage data analysis projects. They leverage GitHub to store datasets, share scripts and code (often in languages like Python or R), and document their analyses using tools like Jupyter Notebooks or Markdown. GitHub enables Data Analysts to version-control their work, collaborate with others through pull requests and issues, and showcase their portfolios to potential employers or collaborators.

Is GitHub good for data analysts?

GitHub is a valuable tool for data analysts as it facilitates version control, collaboration, and sharing of data projects and code. Many data analysts use GitHub to showcase their work, collaborate with teams, and manage project documentation, often integrating it with tools like Jupyter notebooks and data visualization libraries.

What is the difference between Data Analyst Github vs Data Scientist?

AspectData Analyst GithubData Scientist
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; proficiency in SQL, Excel, and visualization toolsBachelor's or Master's in Data Science, Computer Science, or related; knowledge of programming languages like Python or R, machine learning
Work EnvironmentCollaborates with teams to analyze data, create dashboards, and support decision-makingBuilds models, develops algorithms, and performs advanced statistical analysis
Employer & Industry UsageUsed across industries for reporting, data visualization, and business insightsApplied in AI, predictive modeling, and complex data analysis projects

While both roles involve working with data, Data Analyst Github focuses on data visualization, reporting, and supporting business decisions, often using tools like SQL and Excel. Data Scientists perform advanced analytics, build predictive models, and require programming skills in Python or R. The roles overlap in data handling but differ in complexity and technical depth.

What cities near Springfield, OH are hiring for Data Analyst Github jobs?

Cities near Springfield, OH with the most Data Analyst Github job openings:

Data Analyst Github jobs near you

AI Developer (HealthCare Experience)

CareSource

Dayton, OH • On-site, Remote

$94K - $164K/yr

Full-time

Re-posted 19 days ago

CareSource rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

204th of 308 rated insurance

Job description

Job Summary:
The AI Developer plays a key role in designing, developing, and deploying intelligent solutions. This role is focused on solving complex business challenges through innovative AI technologies and will collaborate closely with cross-functional teams to ensure timely and high-quality delivery of solutions aligned with defined objectives.
DS/Gen/Agentic AI resources with good hands-on skills on:
  • Current Advancements: Generative AI, Agentic AI, LLM fine-tuning, RAG, GraphRAG, Vector databases, Knowledge Graph, Langchain, Langgraph, etc
  • Model Deployment: MLOPs pipeline, CI/CD, Model Deployment, Docker, Kubernetes, Azure Cloud, Github, etc
  • Core Skills: Traditional AI / ML / Data Science skillsets (Predictive, Prescriptive, Descriptive, Statistical, Optimization, Simulation, Natural Language processing, Computer Vision, Image Processing, etc)
  • Domain: Healthcare, Facets, GuidingCare, etc

Note: Domain skills are nice to have and not mandatory.
Essential Functions:
  • Design and implement AI models and algorithms tailored to diverse business challenges
  • Define and lead the architecture of Generative AI platforms, including large language models (LLMs), vector databases, and inference pipelines
  • Maintain deep expertise in modern generative AI technologies such as Knowledge Graphs, OpenAI, LLaMA, Python, LangChain, vectorization, embeddings, semantic search, Retrieval-Augmented Generation (RAG), Infrastructure as Code (IaC), and Streamlit
  • Rapidly prototype proof-of-concept solutions to assess emerging technologies and innovative ideas
  • Foster innovation and collaboration in a fast-paced environment through a hands-on, imaginative approach and a self-driven, inquisitive mindset
  • Leverage AI-assisted development tools, including GitHub Copilot and internally developed solutions, to enhance productivity
  • Apply creative problem-solving techniques to identify and implement process improvements
  • Assess technical risks and develop effective mitigation strategies to ensure successful project delivery
  • Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into production-ready systems
  • Partner with leadership to evaluate existing services and develop strategies to optimize delivery and support
  • Perform data preprocessing and analysis on large datasets to uncover actionable insights
  • Train, validate, and fine-tune machine learning and deep learning models for optimal performance
  • Deploy models using cloud infrastructure and containerization technologies such as Docker and Kubernetes
  • Implement and manage MLOps pipelines to automate model training, deployment, monitoring, and lifecycle management
  • Apply AIOps practices to enhance operational efficiency, automate incident detection, and optimize system performance using AI-driven insights
  • Continuously monitor model performance and retrain as needed to maintain accuracy and relevance
  • Stay current with industry trends, tools, and frameworks, and assess their applicability to organizational goals
  • Document workflows, models, and codebases to support maintainability and knowledge sharing
  • Provide timely and transparent progress updates to stakeholders, highlighting key milestones, challenges, and proposed solutions
  • Perform any other job duties as requested

Education and Experience:
  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence or related field, or equivalent years of relevant work experience is required
  • Master's degree is preferred
  • Minimum of five (5) years of experience in developing and deploying AI/ML models is required
  • Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools Is required
  • Experience with Agile methodologies is required

Competencies, Knowledge, and Skills:
  • Knowledge of model interpretability and ethical AI practices
  • Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, and OpenCV
  • Strong analytical, evaluative and problem-solving abilities
  • Strong understanding of data structures, algorithms, and software engineering principles
  • Excellent problem-solving skills and attention to detail
  • Strong communication and collaboration abilities
  • Knowledge of healthcare and managed care

Preferred Licensure and Certification:
  • AI / Data Science certifications or credentials are preferred

Working Conditions:
  • General office environment; may be required to sit or stand for extended periods of time
  • Occasional travel may be required to meet with stakeholders and development teams

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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