EngineerJobs.io
← Back to all jobs

Job Description

MiniMed, a full-stack insulin delivery company dedicated to supporting people living with diabetes through every step of their journey — when and how they need it. For more than 40 years, we’ve been committed to redefining what’s possible: intelligent dosing systems designed for real life, predictive insights that stay a step ahead, and always on support when it’s needed most. At the heart of everything we do is a simple Mission: to make every day a better day for people with diabetes. This onsite Data Science Analytics Engineer II role in Northridge, CA focuses on R&D for continuous glucose monitor devices, applying data analytics, signal processing, statistics, and machine learning to improve sensor performance, with responsibilities spanning data handling, algorithm development, tool creation, validation, and regulatory documentation.

Benefits and compensation

MiniMed offers a competitive salary and a robust benefits package. For California locations the salary range is $97,000.00 to $165,000.00 USD, and the position is eligible for the Short Term Incentive (STI).

  • Short Term Incentive (STI)
  • Health, dental, and vision insurance
  • Health Savings Account
  • Healthcare Flexible Spending Account
  • Life insurance
  • Long-term disability leave
  • Dependent daycare spending account
  • Incentive plans
  • 401(k) plan with company match
  • Short-term disability coverage
  • Paid time off and holidays
  • Employee Stock Purchase Plan
  • Employee Assistance Program
  • Non-qualified Retirement Plan Supplement
  • Capital Accumulation Plan

Responsibilities

  • 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 descriptive, diagnostic, predictive, and prescriptive models using advanced analytics, statistical methods, signal processing, and machine learning.
  • Applies machine learning and modeling techniques to solve complex real-world problems.
  • Analyzes biological, physiological, and other complex datasets using statistical and signal processing methods.
  • Uses MATLAB, Python, and related tools to develop, implement, and optimize algorithms and software solutions.
  • Translates technical requirements and algorithms into scalable, maintainable, and high-quality code.
  • Develops software solutions by analyzing user needs, workflows, and system requirements while following software development lifecycle best practices.
  • Performs coding, testing, debugging, validation, and performance optimization activities.
  • Leverages Big Data and cloud-based environments for data processing and analytics.
  • Uses Git and version control tools to support collaborative software development.
  • Prepares and maintains technical documentation, specifications, engineering reports, test plans, and validation documents.
  • Documents and communicates solutions through reports, diagrams, flowcharts, visualizations, and clear code.
  • Presents technical concepts, analytical results, and project outcomes to technical and non-technical audiences.
  • Manages multiple projects effectively in a fast-paced, deadline-driven environment.
  • Demonstrates strong organizational, communication, and multitasking skills.

Technologies

  • MATLAB
  • Python
  • AWS
  • Git

Requirements

  • Bachelor's Degree
  • Minimum of 2 years of relevant experience
  • Advanced degree with 0 years of experience

About MiniMed

MiniMed is a full-stack insulin delivery company dedicated to supporting people living with diabetes through every step of their journey — when and how they need it. For more than 40 years, we’ve been committed to redefining what’s possible: intelligent dosing systems designed for real life, predictive insights that stay a step ahead, and always on support when it’s needed most. At the heart of everything we do is a simple Mission: to make every day a better day for people with diabetes.

Similar Jobs