Title:  Mts Software Engineer

Job Summary

The NetApp Manageability Group is looking for a Data Scientist with deep knowledge of Machine Learning (ML) and statistical algorithms and techniques to join the team that helps the largest enterprises and organizations in the world to manage their highly complex data centers and infrastructure across private and public clouds.

The successful candidate will have an innate curiosity and passion for gathering insights from large sets of data that can help customers thrive using both on-premises and cloud-based tools. Of particular interest will be time-series analysis (e.g., Bayesian methods), and general Machine Learning analysis. The candidate will work with Data Science architects on using ML algorithms and techniques to enhance analytical possibilities within the product. The successful candidate will have the skills to generate code level prototypes to illustrate the proposed feature concepts and will work closely with Engineering to help design, implement, and deliver necessary product execution.

In addition, you will have the opportunity and encouragement to learn relevant new skills as part of the team.

Responsibilities

• Apply broad and deep knowledge of ML algorithms and other data science techniques to data collected by NetApp manageability tools to generate unique and enhanced insights for customers
• Work closely with the Manageability Engineering team to implement and execute on the delivery of ML and data science-based features

Job Requirements

• Experience in building ML based features or techniques for customer visible products.
• Including topics such as:
  • Time series analysis
    • Anomaly detection techniques
    • Statistics and Bayesian methods
  • Deep learning algorithms LTSM, CNN, Sequence-to-Sequence
  • Machine learning algorithms such as clustering, SVM, logistic regression
• Experience with scripting languages such as Python, R, shell scripts, etc.
• Strong communication skills.  Able to convey clear and concise information to both engineers and executives at any level
• Work collaboratively within a team environment
• Experience with Java is highly desirable but can learned as part of the job.
• General experience with SaaS based product architectures and related concepts (AWS, Micro-services, distributed processing, etc.) would be a plus
• Knowledge of Storage would be a plus

Experience