North Dakota

Data Jobs in North Dakota

3 jobs found

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1d ago

Data Analyst - Research Data Management

Sanford Health Fargo, ND

Fargo, ND

1d ago

$24 - $38/hr Full time Analytics Business Intelligence Data Analysis

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Job Description

Sanford Health is hiring a Data Analyst to support research data management within the Sanford Center for Biobehavioral Research. The role focuses on integrating and maintaining databases for funded studies, building reporting outputs, and using data to inform business, communication, and fundraising decisions.

Onsite Role and Research Context

This position is onsite in Fargo, ND. The role supports research operations by handling, checking, and cleaning data from multiple funded research studies at the Sanford Center for Biobehavioral Research (CBR). CBR is a clinical research and education facility with a focus on eating disorders, bariatric surgery, child traumatic stress, and mental health care delivery in rural settings.

Key Responsibilities

Perform data integration to and maintenance of applicable databases and supporting databases.
Independently pursue additional information, knowledge, and training to deepen understanding of the database system.
Learn and analyze process workflows across functional areas to identify improvements and associations related to reporting, extraction, and analytics.
Design, develop, document, test, and deploy custom reports, database “smart queries,” and data exports.
Provide accurate information to support enterprise business, communication, and fundraising decisions.
Collect, organize, segment, analyze, validate, and disseminate information to report performance against identified key performance indicators.
Use database reporting environments and complex queries to deliver standard, ad-hoc, and custom reports, communications, and dashboards for internal and external audiences.
Establish processes, including automation where appropriate, to streamline data extraction and produce accurate, user-friendly outputs.
Identify, analyze, research, and interpret trends or patterns within complex data sets and provide recommendations and possible solutions.
Apply logic and intuition to interpret data meaning and translate findings into conclusions supporting performance measurement, improvement, and outcomes.
Monitor and analyze return on investment for communication activities, including events, mailings, and digital communications.
Use outside sources such as social media and digital analytics to monitor online engagement and marketing performance.
Assist foundation leadership in creating and executing the data management strategy, with recommendations to improve data flow, availability, and quality.
Partner with organizational areas to understand business requirements and goals to provide effective service.
Proactively improve processes by monitoring feedback and recommending information system modifications to support accurate reporting and analysis.

Required and Preferred Qualifications

Bachelor’s degree required.
In lieu of education, leadership may accept six years of applicable experience.
Two or more years of experience in business, finance, data science, statistics, information management, analytics, fundraising, or a related field is preferred.
Previous experience operating reporting and analytic tools, such as Raiser’s Edge, is preferred.

Tools and Technologies

Raiser’s Edge
Social media

Compensation

USD 24–38 per hour

Benefits

Health insurance
Dental insurance
Vision insurance
Life insurance
401(k) retirement plan
Work/life balance benefits
Generous time off package

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13d ago

AI Engineer Sr

Doosan Bobcat NA US West Fargo, ND

West Fargo, ND

13d ago

Full time Senior Agentic Ai Ai Agent

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Job Description

Doosan Bobcat NA US is seeking an experienced AI Engineer Sr to lead the design, implementation, and optimization of enterprise-scale AI capabilities. Based in West Fargo, ND (onsite), this role focuses on production-ready AI for digital products and operational systems, including generative AI and intelligent agents.

As a senior technical leader within the AI Engineering team, you will partner closely with the AI Enablement team on security, governance, and architecture compliance while driving measurable business impact through advanced AI features.

What you’ll do

Lead end-to-end implementation of complex AI models and applications integrated into digital products and operational systems.
Translate business requirements into scalable AI solutions that perform reliably in production environments.
Architect and develop high-performance AI applications and multi-step agents optimized for latency, accuracy, and maintainability.
Extend and adapt agent frameworks for specialized use cases such as predictive maintenance, diagnostics, and customer support automation.
Make development decisions in alignment with AI Enablement guidance on approved architectural and integration patterns.
Collaborate with product owner, software engineering, solution architect, and business teams to integrate AI features into production release cycles.
Work with AI Enablement on security reviews, architecture compliance, and governance approvals.
Ensure ethical data usage and adherence to privacy and compliance requirements.
Evaluate emerging AI tools, frameworks, and techniques to assess potential impact on product capabilities and operational efficiency.
Drive initiatives that move prototypes into production-grade capabilities with measurable ROI.
Recommend optimizations to improve model inference speed, scalability, and cost efficiency.
Provide technical guidance and mentorship to AI Engineer I and II team members.
Lead code reviews, establish engineering best practices, and support a high-quality development culture.
Manage 3rd party contractors and university projects.

Requirements

Bachelor’s degree in Computer Science, AI, Data Science, or a related field; Master’s preferred.
5–7 years of AI/ML engineering experience with a track record delivering production-grade solutions.
Expert-level proficiency in Python, major LLM frameworks (LangChain, Hugging Face, OpenAI APIs), and AI agent orchestration.
Strong knowledge of cloud-native AI deployment on AWS and containerization with Docker and Kubernetes.
Experience building REST/GraphQL APIs and designing data pipelines.
Effective communication skills for conveying technical information to diverse stakeholders.
Ability to work in teams and lead cross-functional collaboration.
Exposure to MLOps practices including CI/CD and model monitoring, plus discussions on data privacy and ethics.
Demonstrated ability to mentor and guide junior team members.
Strong analytical skills to tackle complex challenges.
Open to adopting new technologies and enhancing workflows in a dynamic environment.

Core technologies

Python, LangChain, Hugging Face, OpenAI APIs
AWS, Docker, Kubernetes
REST, GraphQL
CI/CD, model monitoring

This position emphasizes building advanced AI capabilities from generative AI to intelligent agents embedded in products and platforms. While AI Enablement owns security, governance, and overarching AI architecture frameworks, the AI Engineer Sr partners with that team to ensure solutions meet compliance and architectural standards.

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2mo ago

Senior Data Scientist - AI Trainer

DataAnnotation North Dakota 🇺🇸 Remote

North Dakota

2mo ago Closed

$50 - $100/hr Contract Senior Ai Ml Ai Training

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

DataAnnotation invites applications for a contract Senior Data Scientist - AI Trainer. The role focuses on evaluating AI generated quantitative work and providing feedback to shape AI model reasoning, with remote, flexible scheduling available. The position is based in North Dakota.

Responsibilities

Assess AI generated quantitative outputs across statistical analyses, predictive modeling, scientific reasoning, and data-driven insights for technical accuracy and practical validity.
Design and solve quantitative tasks used to train and benchmark AI systems in areas such as forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and maintain well-documented analytical code.
Deliver feedback that guides the development of AI models focused on quantitative reasoning.

Requirements

At least 3 years of hands-on experience in a quantitative role or research setting, including data science, statistics, economics, finance, physics, biology, epidemiology, or operations research.
Demonstrated coding experience with the ability to write and review analytical code from end to end.
Hands-on experience with statistical methods, predictive modeling, and experimental design such as A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
Fluency in English with strong writing skills at native or bilingual level.
A bachelor’s degree in a quantitative field is preferred; advanced degrees (Master’s or PhD) are advantageous.
Relevant credentials, such as high Kaggle competition rankings or cloud ML certifications from AWS or GCP, are a plus.

Benefits

Fully remote work arrangement allowing you to work from the United States, Canada, United Kingdom, Ireland, Australia, or New Zealand.
Flexible scheduling that lets you select projects and determine your work timing, using your own computer from home.
Hourly compensation between $50 and $100 USD, with potential bonus rates on certain projects.
Opportunity to influence AI systems designed to reason about data and analytics.

Note

Payment is processed through PayPal. The employer will not request money from applicants. This opportunity is open to candidates in the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand.

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Data Jobs in North Dakota

Data Analyst - Research Data Management

AI Engineer Sr

Senior Data Scientist - AI Trainer

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