Senior Data Analyst: ML Pipelines & Interactive Dashboards

Akaasa Technologies; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Akaasa Technologies is seeking a data-focused engineer to design and maintain data pipelines, ensuring data quality across platforms. You will collaborate across IT to integrate data solutions and contribute to AI-driven tooling with front-end interfaces.

Responsibilities include developing ML models, analyzing data to inform decisions, and building interactive web applications that visualize outcomes. Strong skills in Python/R/Scala, Spark/Hadoop/Kubernetes, and REST APIs are required.

Qualifications

• Proficiency in Python, R, or Scala for data analysis and ML.
• Experience with Spark, Hadoop, or Kubernetes.
• Adept at SQL and NoSQL databases.
• Familiarity with HTML, CSS, JavaScript, and frameworks like React or Angular.
• Understanding of RESTful APIs and web services integration.
• Knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.

Responsibilities

• Design, develop, and maintain data pipelines and ETL processes.
• Ensure data quality and integrity across sources and platforms.
• Collaborate with IT to integrate data solutions within existing infrastructure.
• Develop and implement simple ML models to derive actionable insights.
• Perform data analysis and visualization to support business decisions.
• Conduct experiments to iterate on model performance.
• Collaborate with UX/UI designers to develop user-friendly interfaces for AI-driven tools.
• Implement interactive web applications to visualize data and model outcomes.
• Integrate front-end applications with back-end services and databases.
• Manage requirements and project scope for SCADA integration and testing.

Skills

Python/R/Scala

Apache Spark

Hadoop

Kubernetes

SQL

NoSQL

HTML

CSS

JavaScript

React

Angular

REST APIs

TensorFlow

PyTorch

Scikit-Learn

Job description

Akaasa Technologies is seeking a data-focused engineer to design and maintain data pipelines, ensuring data quality across platforms. You will collaborate across IT to integrate data solutions and contribute to AI-driven tooling with front-end interfaces.

Responsibilities include developing ML models, analyzing data to inform decisions, and building interactive web applications that visualize outcomes. Strong skills in Python/R/Scala, Spark/Hadoop/Kubernetes, and REST APIs are required.