
Staff Data Scientist / Staff AI/ML Engineer
Are you passionate about using data and AI/ML technologies to drive business growth and innovation? Are you a critical thinker and problem solver with a strong technical background? If so, NetApp has an exciting opportunity for you! We are seeking a highly skilled Staff Data Scientist/Staff AI/ML Engineer to join our dynamic team and help us unlock the power of data to revolutionize our products and services. As a Staff Data Scientist/Staff AI/ML Engineer, you will play a key role in driving our data and AI strategy, developing cutting-edge solutions, and collaborating with cross-functional teams to deliver impactful results. If you are ready to make a significant impact and take your career to the next level, we want to hear from you!
- Develop and implement data and AI/ML strategies to drive business growth and innovation.
- Analyze and interpret complex data to identify trends and patterns that can inform decision-making.
- Utilize AI/ML technologies to develop cutting-edge solutions that improve product and service offerings.
- Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders, to drive data and AI initiatives.
- Communicate findings and recommendations to both technical and non-technical stakeholders in a clear and concise manner.
- Stay updated on the latest advancements in data and AI technologies and identify opportunities for implementation within the company.
- Identify and troubleshoot data and AI issues and propose solutions to improve performance and accuracy.
- Develop and maintain data models and systems to support data-driven decision-making.
- Train and mentor junior data scientists and engineers to promote growth and development within the team.
- Continuously evaluate and improve data processes and systems to ensure efficiency and accuracy.
- Collaborate with external partners and vendors to leverage their expertise in data and AI/ML.
- Stay informed on industry trends and best practices to ensure NetApp remains at the forefront of data and AI innovation.
- Adhere to data privacy and security protocols to protect sensitive information.
- Take ownership of projects and drive them to successful completion within given timelines.
- Participate in team meetings and contribute ideas and insights to help drive team success.
Extensive Knowledge And Experience In Data Science And Machine Learning, Including Proficiency In Programming Languages Such As Python, R, And Sql.
Strong Understanding Of Statistical Modeling, Data Mining Techniques, And Predictive Analytics.
Experience In Developing And Deploying End-To-End Machine Learning Solutions, Including Data Preprocessing, Feature Engineering, Model Training, And Deployment.
Excellent Communication And Collaboration Skills, With The Ability To Effectively Present Complex Technical Concepts To Non-Technical Stakeholders.
Demonstrated Leadership Experience, With The Ability To Lead And Mentor A Team Of Data Scientists And Engineers In A Fast-Paced, Dynamic Environment.
Programming
Data Analysis
Big Data
Machine Learning
Deep Learning
Data Visualization
Cloud Computing
Natural language processing
Statistical modeling
Predictive analytics
Neural Networks
Data
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Adaptability
Problem-Solving
Decision-making
According to JobzMall, the average salary range for a Staff Data Scientist / Staff AI/ML Engineer in San Jose, CA, USA is $150,000 - $200,000 per year. This range may vary depending on factors such as experience, education, company size, and industry. Additionally, salaries for data scientists and AI/ML engineers can vary greatly depending on location, with some cities offering higher salaries due to a higher cost of living. Overall, the salary range for a Staff Data Scientist / Staff AI/ML Engineer in San Jose is considered to be quite competitive and in line with the national average for these roles.
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NetApp, Inc. is an American hybrid cloud data services and data management company headquartered in Sunnyvale, California.

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