Senior Analytics AI Platform Engineer

mariadbplc; United States; Remote; USD 50,000 - 72,000; Full time

Job summary

mariadbplc is seeking an experienced data scientist to build end-to-end analytics and AI-enabled data solutions that empower better operational and business decisions. This hands-on role covers data extraction, analysis, pipelines, lightweight apps, and stakeholder communication with focus on data design and reliability.

Responsibilities include applying regression, forecasting, clustering, and experimentation; developing workflows from warehouse queries to insights; and building pipelines with

Qualifications

• 7+ years of experience in data science, advanced analytics, or a quantitative discipline.
• Expert SQL skills with BigQuery, MariaDB, or comparable platforms, including query optimization, partitioning, and data modeling.
• Production-quality Python and/or JavaScript skills and experience with modern data or machine-learning libraries.
• Strong grounding in statistical and analytical methods, and judgment about which method fits a given question.
• Understanding of warehouse, lake, and pipeline architecture for analytics and machine-learning workloads.
• Experience using AI-powered development tools, plus the ability to work independently and communicate technical work clearly.
• A public GitHub profile demonstrating projects, experiments, or contributions.

Responsibilities

• Choose and apply methods such as regression, clustering, forecasting, classification, and experimentation to answer business questions.
• Develop analytical workflows from warehouse queries through insights, reporting, and recommendations.
• Build and maintain data pipelines, analytical frameworks, and tools using SQL and Python.
• Use AI-assisted development and generative AI capabilities to support experimentation and automate analytical work.
• Create lightweight applications and APIs that make models and findings accessible to stakeholders.
• Own data modeling and schema decisions, improve pipeline reliability, and explain results and trade-offs to technical and business audiences.
• Analyze business processes and identify data-informed opportunities to improve them.

Skills

SQL

Python

JavaScript

Statistics

Data modeling

Public GitHub profile

AI tooling

Tools

BigQuery

MariaDB

Docker

Kubernetes

Job description

Role overview

Build end-to-end analytics and AI-enabled data solutions that help an organization make better operational and business decisions. This hands-on, autonomous role spans data extraction, analysis, pipelines, lightweight applications, and stakeholder communication, with responsibility for data design and reliability within its domain.

Responsibilities

• Choose and apply methods such as regression, clustering, forecasting, classification, and experimentation to answer business questions.
• Develop analytical workflows from warehouse queries through insights, reporting, and recommendations.
• Build and maintain data pipelines, analytical frameworks, and tools using SQL and Python.
• Use AI-assisted development and generative AI capabilities to support experimentation and automate analytical work.
• Create lightweight applications and APIs that make models and findings accessible to stakeholders.
• Own data modeling and schema decisions, improve pipeline reliability, and explain results and trade-offs to technical and business audiences.
• Analyze business processes and identify data-informed opportunities to improve them.

Requirements

• 7+ years of experience in data science, advanced analytics, or a quantitative discipline.
• Expert SQL skills with BigQuery, MariaDB, or comparable platforms, including query optimization, partitioning, and data modeling.
• Production-quality Python and/or JavaScript skills and experience with modern data or machine-learning libraries.
• Strong grounding in statistical and analytical methods, and judgment about which method fits a given question.
• Understanding of warehouse, lake, and pipeline architecture for analytics and machine-learning workloads.
• Experience using AI-powered development tools, plus the ability to work independently and communicate technical work clearly.
• A public GitHub profile demonstrating projects, experiments, or contributions.

Nice to have

• Experience with modern frontend frameworks, process analysis, cross-functional business domains, JSON and API integrations, or Docker and Kubernetes.

Benefits and work setup

• The position is based remotely in Romania, with hybrid options dependent on location and occasional travel flexibility. The source lists 25 days of annual leave plus holidays, competitive compensation, and a globally distributed team.