Top 8 Machine learning engineer Jobs in Dickinson, Nd

Analytics Engineer
S5 Stratos —United States
- Full-time
- Remote
- Background check
- Computer Science
- SQL
- Health insurance
- Dental insurance
Quick Apply
Senior DevOps Software Engineer
Savance —United States
- $100,000 - $160,000 a year
- Full-time
- Remote
- Background check
- Google Workspace
- Azure
- Health savings account
- Paid holidays
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7d
Principal AI Engineer (DoD)
Precision Federal —United States
- $70 - $90 an hour
- Part-time
- Remote
- Military
- Senior level
- Analytics
- Flexible schedule
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1d
QA Engineering Lead (Automation Testing)
Tanaq Technical Services —United States
- Full-time
- Remote
- Background check
- Computer Science
- 5 years

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Analytics Engineer

S5 Stratos
United States

Quick Apply

Job Details

Full-time

Benefits

Health insurance
Dental insurance
Paid time off
Vision insurance

Qualifications

Data model design
Data Integration (Data management)
Data modeling projects
Git
Schema design
SQL
Data Architecture Design (Architecture design skills)
Bachelor's degree
API integrations
Python
Database software proficiency

Full Job Description

Applicants must be authorized to work for ANY employer in the U.S.

We are unable to sponsor or take over sponsorship of an employment Visa at this time.

About S5

At S5, we are on a mission to make advanced data science consumable for business users. We are a SaaS provider of AI/ML-powered solutions that transform planning and decision-making across the retail and CPG value chain, from strategy to execution.

Our platform enables some of the most sophisticated retailers to operate with precision at scale, bridging the gap between data, insight, and action. As we continue to grow, we are looking for exceptional talent to help shape the next generation of intelligent planning systems.

The Role

S5 is seeking an Analytics Engineer to sit at the intersection of data engineering, analytics, and business impact. This role is critical in transforming raw data into scalable, reliable, and intuitive data models that power our platform, analytics, and client-facing insights.

You will play a key role in enabling and scaling our AI/ML capabilities by supporting the data foundations and pipelines that power intelligent decision-making across the platform. The ideal candidate thrives in a fast-paced, high-growth environment and is excited by the opportunity to build systems that directly influence business outcomes.

What You’ll Do

Design, build, and optimize scalable data models that power analytics, reporting, and product features
Develop and maintain robust data pipelines (batch and streaming) to support high-volume, complex datasets
Support and operationalize machine learning pipelines, including data preparation, feature engineering, and model input/output workflows
Translate business requirements into clean, well-structured data models and transformations
Build analytics-ready datasets that enable self-service insights and drive decision-making
Improve data quality through validation frameworks, testing, and monitoring
Partner with Product and Client teams to ensure data aligns with real-world workflows and use cases
Automate manual processes and optimize data delivery for performance and scalability
Contribute to data standards, documentation, and best practices across the organization
Support experimentation and advanced analytics use cases, including ML-driven workflows
Troubleshoot data issues and ensure reliability across the data ecosystem

What We’re Looking For

Strong expertise in SQL (required) and Python for data transformation and processing
Proven experience building and optimizing data pipelines and data models in production environments
Deep understanding of relational databases (columnar and row-based)
Experience working with large-scale, complex datasets
Experience supporting or deploying ML/AI workflows in production environments
Familiarity with feature engineering, model pipelines, or real-time inference systems
Familiarity with modern data architecture and ELT/ETL frameworks
Experience with cloud platforms (GCP / OCI)
Proficiency with Git and modern development workflows
Experience working with APIs and integrating across multiple data sources
Bachelor’s degree in Computer Science, Engineering, or a related field
Must be eligible to work in the U.S. without sponsorship

What Sets You Apart

Experience in retail, CPG, or supply chain analytics
Background in consulting or client-facing environments
Familiarity with analytics engineering tools (e.g., dbt)
Passion for building data systems that are not just functional—but intuitive and impactful

Why S5

At S5, you won’t just build pipelines—you’ll help define how data drives decisions across an entire industry. You’ll work alongside a team that blends deep retail expertise with cutting-edge technology, solving problems that are both complex and high-impact.

This is an opportunity to:

Build foundational systems in a rapidly growing company
Work on AI/ML-driven products with real-world application
Shape how data is experienced by business users
Operate in a culture that values ownership, speed, and innovation

There’s never been a more exciting time to join S5.

Applicants must be authorized to work for ANY employer in the U.S.

We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job Type: Full-time

Benefits:

Dental insurance
Health insurance
Paid time off
Vision insurance

Application Question(s):

Will you now or in the future require sponsorship for employment visa status? (Y or N)

Work Location: Remote

Quick Apply

Refine Your Search

machine learning engineer jobs in dickinson, nd

Analytics Engineer

Senior DevOps Software Engineer

Principal AI Engineer (DoD)

QA Engineering Lead (Automation Testing)

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