- Apply data mining, predictive modeling, machine learning techniques to complex data structures and systems
- Apply statistical analyses and modeling to draw insights from diverse array of commercial data
- Develop algorithms and models capable of monitoring and predicting the performance of Illumina products
- Collaborate with cloud software teams to deploy algorithms into Illumina's remote diagnostics/proactive service product
- Work with Data Scientists and Machine Leaning Engineers across Illumina to collaborative solve complex analytical and model building problem within and out side of the Commercial organization
- Develop and defend business justifications and monitor impact of predictive modeling projects
- Keep current with outside advancements in data science techniques and inject developments as appropriate
- Deep understanding of machine learning techniques (supervised and unsupervised), predictive analytics and classification algorithms
- Solid understanding of statistical analyses and statistical modeling
- Hands-on experience in designing, developing and deploying machine learning and predictive models in production environment
- Experience creating and presenting model output and performance of data to stakeholders using software such as Powerpoint, Tableau, PowerBI, Periscope, or other similar
- Minimum of 5 years of functional programming and statistical analysis experience in MatLab, Python, R, SaS, or similar
- Minimum of 2 years of experience with relational databases and SQL
- Strong interpersonal and communication skills (both written and oral) including the ability to communicate complex technical/statistical concepts to a non-technical audience.
- Systems engineering, reliability engineering or technical product support experience
- Experience with collaborative model development and data science using version control tools (e.g. Git repositories)
- Experience working agile SW development environments and familiar with software development best practices
- Experience integrating and analyzing data from multiple business applications (SAP, SFDC, IBM Cognos)
- Ability to work in a global collaborative team environment
- Master's degree or Ph.D. preferred in a relevant technical discipline (Mathematics, Engineering, Computer Science, BioStatistics or a similar field). A Bachelor's degree with highly relevant experience in acceptable
- 1+ years of relevant industry experience
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Illumina San Diego, CA, United StatesOr all of humanity? · At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases ...
Machine Learning - San Diego, CA, United States - Illumina
Description
What if the work you did every day could impact the lives of people you know? Or all of humanity?
At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. The Machine Learning/AI Engineer will be part of a team responsible to develop the infrastructure, system and predictive modeling and tools to enable Illumina Proactive, a predictive maintenance and system troubleshooting product that delivers enhanced customer experience and supports Illumina's Service and Support organization. To accomplish this Machine Learning/AI Engineer will work cross-functionally with software development teams and product engineering to develop complex algorithms and machine learning models. The position will provide technical leadership to other engineers, analysts and programmers from design to deployment of models and other analytical projects. The position may also provide analytics support to other parts of the organization including Product Development, Manufacturing, Sales and Marketing and/or Finance. Responsibilities