Statistical Analysis

Statistical Analysis Engineer Jobs

2 jobs found

1d ago

AI/ML Analytics Engineer

GLOBALFOUNDRIES Malta, NY

Malta, NY

1d ago

$58k - $101k/yr Full time Ai Ml Analysis Analytics

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Job Description

This role supports the Analytics Center of Excellence within Digital Manufacturing at GLOBALFOUNDRIES, helping develop data-driven solutions for semiconductor manufacturing as part of an AI/ML Analytics engineering track for new college graduates.

Location

Malta, NY (onsite)

Compensation

USD 58,400 - 100,800 per year.

The exact salary is determined based on qualifications, experience, and location.

Summary

As an AI/ML Analytics Engineer, you will help define project objectives and success measures, prepare manufacturing datasets, and apply statistical and machine learning methods. The position also includes developing predictive agentic solutions and communicating recommendations to technical stakeholders and Fab leadership.

Responsibilities

Partner with the Analytics Center of Excellence Digital Manufacturing Manager to define project objectives, deliverables, success measures, and timelines.
Support the design, development, programming, testing, and documentation of analytics methods, processes, and systems across multiple use cases.
Collaborate with manufacturing, engineering, and cross-functional teams to understand business needs and translate requirements into measurable data-driven approaches.
Collect, clean, integrate, and preprocess large datasets from multiple sources.
Apply statistical analysis, visualization, and machine learning techniques to identify patterns, trends, root causes, and improvement opportunities.
Develop, evaluate, and implement predictive models and algorithms, including agentic solutions, for real-world manufacturing problems.
Communicate findings, limitations, and recommendations to technical stakeholders and Fab leadership using SMART objectives and clear measures of value.
Perform all activities safely and responsibly, supporting Environmental, Health, Safety & Security requirements and programs.

Required Qualifications

Graduating with a Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Industrial Engineering, Electrical Engineering, Computer Engineering, or a related field from an accredited program.
At least an overall 3.0 GPA and proven good academic standing.
English proficiency (written and verbal).

Preferred Qualifications

Prior related internship or co-op experience.
Demonstrated leadership experience in the workplace, school projects, competitions, or similar settings.
Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support decision-making.
Project management skills, including the ability to innovate, execute solutions that matter, and navigate ambiguity.
Strong written and verbal communication skills.
Strong planning and organizational skills.
Coursework, research, internship, or project experience in statistical analysis, machine learning, predictive modeling, data visualization, or digital manufacturing analytics.
Programming experience with Python, R, SQL, or similar tools, including data preparation, model evaluation, visualization, and reproducible analytical workflows.
Programming experience building agentic solutions, including rapid prototyping, developing new features, and scaling solutions.

Technology Stack

Python
R
SQL

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1mo ago

Machine Learning Engineer - AI Trainer

DataAnnotation Massachusetts 🇺🇸 Remote

Massachusetts

1mo ago Closed

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

This position is no longer accepting applications (closed Sep 15, 2026).

Job Description

Remote contract opportunity to evaluate and help train AI systems focused on quantitative reasoning.

Responsibilities

Review AI-generated quantitative work for technical accuracy and real-world validity, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights
Create and solve quantitative problems used to train and benchmark AI systems, covering forecasting, experimental analysis, optimization, and statistical inference
Produce clear technical explanations alongside well-documented analytical code
Deliver targeted feedback that informs the next iteration of AI models for quantitative reasoning

Requirements

2+ years of hands-on experience in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or a related field
Some coding experience required; able to write and review analytical code end-to-end
Practical experience with statistical methods, predictive modeling, and experiment design, including examples like A/B testing, hypothesis testing, regression, classification, and time-series forecasting
English fluency (native or bilingual) with strong writing skills
Bachelor’s degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); master’s or PhD is a plus
Relevant credentials are a plus, such as Kaggle competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise

Technologies

Kaggle
AWS
GCP

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand
Flexible schedule: choose projects and working hours
Competitive pay: paid hourly, up to $60 USD/hour, with potential access to higher-paying projects based on performance
Impact: contribute to AI systems that reason about data and analytics

How it works

After creating an account, complete a short assessment (serves as an interview)
If you pass, you’ll receive an email confirmation and paid work will appear on the platform
Payment method: PayPal

Notes

We will never ask you for money
Only available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand

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