AI/Data Science Engineer II

Redbock - an NES Fircroft company; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Redbock - an NES Fircroft company is seeking an AI/Data Science Engineer II for a remote role in the United States through April 2027. The position focuses on developing data-driven algorithms and applying ML techniques to product and system enhancements.

The role requires 5+ years of experience, a B.S. in engineering (or related), and strong proficiency with the Microsoft ecosystem, including Power BI, Copilot Studio, and SharePoint.

Qualifications

• B.S. degree, ideally in engineering, or equivalent experience.
• 5+ years of experience in AI/data science engineering or related field.

Responsibilities

• Develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications.
• Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms.
• Uses machine learning and statistical modeling techniques (e.g., decision trees, logistic regression, Bayesian analysis) to improve product/system performance, quality, data management.

Skills

Strong developer

Microsoft ecosystem fluency

AI automation analytics Copilot

Adapt to evolving AI tools

Microsoft 365/SharePoint experience

Education

Bachelor's degree in engineering or related field

Tools

Visual Studio Code

Power BI

Process automation

Microsoft 365

SharePoint

Job description

AI/Data Science Engineer II (Through April 2027 // REMOTE):

Top Required Skills:

• Strong technically as a developer
• Fluent in the Microsoft ecosystem
• Able to support AI, automation, analytics, and Copilot-based solutions
• Capable of growing with rapidly evolving AI tools and platforms
• Experience with the entire Microsoft ecosystem (365 suite, Power BI, Copilot Studio, SharePoint, etc.)

Education Required: B.S., ideally in engineering but flexible based on experience

Years' Experience Required: 5+ years of experience

Duties:

• In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments.
• Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms.
• In product/systems improvement projects: uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and others to develop and evaluate algorithms to improve product/system performance, quality, data management, and accuracy.
• In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code.
• Completes programming and implements efficiencies, performs testing and debugging.
• Completes documentation and procedures for installation and maintenance.
• Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations.
• Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics, and other products that allow users to have an interactive experience.
• Can work with large scale computing frameworks, data analysis systems, and modeling environments.

Must Haves:

• Solution Developer with experience in:
• Visual Studio Code Data analytics and Power BI Process automation and solution development
• Microsoft 365 and SharePoint integration