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Sr AI/Data Science Engineer

Northridge, CA 91325
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Sr AI/Data Science Engineer


Northridge, California, United States

Requisition #:


Post Date:

Oct 13, 2021

The Diabetes Operating Unit focuses on improving the lives of those within the global diabetes community. As a business, we strive to empower people with diabetes to live life on their terms by delivering innovation that truly matters and providing support in the ways they need it. Were committed to meeting people with diabetes where they are in their journey, always with an aim to make their lives easier. Our portfolio of innovative solutions are designed to provide customers greater freedom and better health, helping them achieve better glucose control, while spending less time managing their disease.

As a member of the Data Informatics Innovations team, the Sr. Data Scientist will engage in statistical and exploratory analysis of datasets such as medical devices data (e.g. insulin pumps and glucose sensors) and smart wearable devices, alongside patient contextual data, and use the insights to build robust classification and prediction models geared toward diabetes management products using advanced artificial intelligence machine learning algorithms.

The Senior Data Scientist will also play a role in advising and assisting strategic decision making by delving into new and existing data sources to define, monitor, and report on key product performance metrics, test and validate hypotheses, help prioritize product pipelines, and influence better product design decisions.

This role will partner effectively with product managers, front- and back-end software engineers, and DevOps to identify product features and business opportunities, define need for technology infrastructure, and implement CI/CD pipelines following best practices.

A career at Medtronic is like no other. Were purposeful. Were committed. And were driven by our Mission to alleviate pain, restore health and extend life for millions of people worldwide.

**A Day in the Life**

+ Help develop, optimize, and validate classification and prediction models using advanced statistical modelling and machine learning techniques in the Python ecosystem (including NumPy, Pandas, Scikit-learn, SciPy, Anaconda) and TensorFlow, Keras, or PyTorch.

+ Write, maintain, and peer-review production level code on code repositories using Git (GitHub and GitLab).

+ Mine through varied data sources using structured (SQL) and non-structured (NoSQL) databases, as well as cloud computing and storage technologies (AWS); programm complex queries; process, cleanse, and verify integrity of data used for analysis.

+ Partner with Product and Engineering teams to build MLOps pipelines and architectures using cloud (AWS) and machine learning platforms (DataRobot, Dataiku, Databricks) to implement maturing research algorithms and demonstrate their capabilities toward production and deployment.

+ Partner with software engineers and business managers to gather needs and communicate findings; apply data analysis results to aid product development decisions and clinical study designs; enhance data collection procedures to include data from various sources, including third party sources; author technical and scientific reports, abstracts, and manuscripts.

+ Have a high degree of initiative, self-motivation and curiosity; work on multiple projects in a deadline driven environment; possess strong engineering, analytical, and problem-solving skills in a fast-paced team environment.

Responsibilities may include the following and other duties may be assigned.

+ 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 Have: Minimum Requirements**

+ 4+ years experience with a Bachelor in a quantitative science or related engineering disciplineor

+ 2+ years experience with a Master in a quantitative science or related engineering discipline

**Nice to Have**

+ Ph.D. in computer science, mathematics, systems engineering, biomedical engineering, or closely related fields

+ Digital signal processing, signal separation, signal extraction, or signal reconstruction

+ Swift, Dart, R, Java, or JavaScript programming languages

+ Hadoop, MongoDB, HIVE

+ AWS services such as SageMaker, Lambda, Step Functions, ECS, EMR.

+ Excellent written and verbal communication skills; experience presenting information to cross functional audiences and leadership teams.

+ Drafting and generating written documentation, e.g. specifications, engineering reports, validation plans, and validation reports.

+ Experience in a regulated environment, ideally within medical devices

+ Medical data analytics (examples include data discovery, pattern recognition, machine learning and data modeling algorithms)

+ Experience developing clinical decision support algorithm using data driven informatics

**About Medtronic**

Together, we can change healthcare worldwide. At Medtronic, we push the limits of what technology, therapies and services can do to help alleviate pain, restore health and extend life. We challenge ourselves and each other to make tomorrow better than yesterday. It is what makes this an exciting and rewarding place to be.

We want to accelerate and advance our ability to create meaningful innovations - but we will only succeed with the right people on our team. Lets work together to address universal healthcare needs and improve patients lives. Help us shape the future.
It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.


Posted: 2022-03-08 Expires: 2022-06-06
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Northridge, CA 91325

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