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Senior Remote Data Science Jobs in Springfield, MO

EverCommerce

Analyst, Growth

Springfield, MO · On-site +1

$75K - $85K/yr

... with the Senior Manager, Strategic Growth and cross-functional stakeholders to analyze data ... Remote, US The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K ...

Lantern

Strategy Analyst

Springfield, MO · Remote

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

All JobsSenior Remote Data Science JobsSenior Remote Data Science Jobs in Springfield, MO

Senior Remote Data Science information

See Springfield, MO salary details

$15

$51

$74

How much do senior remote data science jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for senior remote data science in Springfield, MO is $51.68, according to ZipRecruiter salary data. Most workers in this role earn between $42.40 and $61.20 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Age is not a barrier to becoming a senior remote data scientist, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant certifications, programming skills, and domain knowledge, making age less relevant than technical competence and adaptability.

What is the 80 20 rule in data science?

In data science, the 80/20 rule suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often focus on the most impactful variables or tasks to optimize model performance and efficiency.

What is the difference between Senior Remote Data Science vs Data Analyst?

AspectSenior Remote Data ScienceData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with programming languages like Python or RBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often involved in complex modeling and predictive analyticsRemote or on-site, focused on data reporting, cleaning, and basic analysis
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Senior Remote Data Science roles typically require advanced technical skills and involve complex modeling, whereas Data Analysts focus on data reporting and visualization. Both roles can be remote and are used across various industries, but Data Analysts generally have less emphasis on machine learning and predictive modeling.

Can a data scientist work fully remote?

Yes, many data scientist roles are fully remote, especially in companies that prioritize flexible work arrangements. Remote work for data scientists often requires strong communication skills, proficiency with collaboration tools, and the ability to work independently while managing data analysis, modeling, and reporting tasks remotely.

How to make $100,000 a year working from home?

A senior remote data scientist can earn $100,000 or more annually by gaining advanced skills in machine learning, data analysis, and programming languages like Python or R. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
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Senior Remote Data Science jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Springfield, MO • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply