Staff Data Scientist

Seagate Technology
Date Posted: 
June 17, 2019
Allan Luk (

About the Role – You will:

A key function of this role is to facilitate the advancements of modern analytical techniques across the organizations.

Leverage and/or develop innovative data mining and machine learning methods to solve novel and diverse business problems
Focus on edge analytics, edge computing projects by applying techniques in machine learning, deep learning, and statistical algorithms
Develop data science solutions for analytics challenges in the areas of Edge Computing, IoT sensors, Industry 4.0, Prognostics and Health Management, and other technical areas
Quantify the effectiveness and value of innovations with subject matter experts
Provide technical advice and coaching to the junior analytics staff

About Our Group

We are part of the Operations & Technology Advanced Analytics Group. We are seeking a talented Data Scientist for a high profile initiative which will help our internal customers turn the data they have into the information they need to develop and deliver industry-leading storage solutions.

About You

You are an evangelist and an assessor in promoting new ways of diving into complex issues while assessing current practices and identifying areas where training or knowledge would help
You have strong oral and written communication skills
You have a strong business mindset with the ability to condense complex analysis and technical concepts into clear and concise takeaways for business leaders
You are a self-starter with the ability to drive initiatives and influence.
You have the ability to work alone as well as in a team environment
You have a collaborative attitude and a global mindset with an ability to work well with native and non-native English speakers
You will have demonstrated leadership skills along with the ability to lead a team; mentor junior staff and close out technical projects

Your Experience Includes:

Highly proficient in Python, C/C++, and SQL
Solid technical knowledge and hands-on skills in machine learning, deep learning, statistical algorithms, data mining, data structures, and data engineering
Proven track record in delivering analytics solutions using TensorRT, Time Series Analysis, Keras, Tensorflow, CNN, GAN, and RNN techniques
Knowledge in Hadoop, Spark, and cloud computing infrastructures. Ability to deploy data science solutions in cloud analytics infrastructure, AWS.
Experience in Kubernetes/Docker; Microservices deployment and design patterns
Understanding of RESTful web services, web applications, and dashboard development
Experience in: Industrial IoT Sensing & Devices, Predictive Maintenance, Prognostics & Health Management, and other Industry 4.0 areas
Able to participate in conference calls outside of regular local work hours
Bachelors degree in related field and 8+ years’ experience
You might also have:

Master’s or Ph.D. degree in engineering or science discipline such as Data Science, Computer Engineering, Computer Science, Software Engineering, Statistics, Mathematics, Business Analytics, Physics, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Chemical Engineering, etc
Thesis or research experience in topics related to predictive analytics such as edge computing, IoT sensors, data mining, pattern recognition, image processing, data-driven prognostics, fault diagnostics, time-series analysis, natural language processing, artificial intelligence, and machine learning.
Location: Longmont, CO

Travel: ~ 10% (domestic and international)


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