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Title:  Sr. Data Scientist

Location: 

Research Triangle Park, NC, US, 27709

Requisition ID:  33643

 

Are you data-driven?  We at NetApp believe in the transformative power of data – to expand customer touchpoints, to foster greater innovation, and to optimize operations.  We are designed for simplicity, optimized to protect, created to embrace future opportunity, and open to enrich choice.  We are the data authority for hybrid cloud, and we are helping our customers realize the full potential of their data.

 

We’ve built a Data Fabric for a data-driven world – to simplify and integrate data management across the resources that are best for the business.  With the Data Fabric, our customers can harness the power of cloud data services, build cloud infrastructures, and modernize storage through data management.

 

By harnessing the power of hybrid cloud data services, customers gain the freedom of choice to securely manage and move data – anywhere, on any cloud. Only NetApp can help organizations deliver data-rich customer experiences when they rapidly test and deploy new applications that easily use data and services regardless of where they reside or in what form.

Job Summary

NetApp’s Cloud Operations and Engineering Services team provide enablers for a world class engineering team using data to support decisions.  We are looking to apply Machine Learning and  Artificial Intelligence to identify new opportunities for technical issue reduction, productivity gains, leverage assets, and automation.  The ideal candidate has a solid data science background who actively listens and collaborates well with engineers, service owners, and leaders to create value out of the data ensuring short- and long-term needs are met.  You are savvy with exploring and visualizing data, uncovering relationships and outliers, developing and evaluating statistical models, machine learning algorithms, and data modeling techniques, etc.

 

Responsibility
  • Designs, develops, and implements data management systems of analytic frameworks for the business’s data.
  • Uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e.g., predictive models, LTV, propensity models).
  • Able to work with large data (structured and unstructured), and be proficient in extracting relevant feature data from relational and non-relational databases
  • Constantly innovating by building new features; improving modeling techniques to boost model performance; maintaining and refining the processes and procedures for building high-end analytic modeling solutions.
  • Interacting with business teams ensuring effective working relationships, translates business requirements into quick prototypes and building data-fueled solutions that drive the business closer to its overall goals and objectives.
  • Formulates new and creative ideas for leveraging the business’s vast collection of data in the databases
  • Assures the data is available, meaningful, and visible.. Where needed applies data cleansing.
  • Writing coherent reports and presentations on high-end analytical projects.
  • Constructs forecasts, recommendations and strategic/tactical plans based on applying data science techniques to business data.
  •  Consistent exercise of independent judgment and discretion in matters of significance.
  • Engages with service owners, engineers, and managers to VP level as part of shaping and implementing initiatives delivering results.
Job Requirements
  •  Self-motived, team player. Dependable with a strong work ethic.
  •  Believes in automated testing, and is able to develop modular, layered software that performs well and is easy to understand.
  •  Demonstrated ability to think strategically about business, product, and technical challenges.
  • Strong programming (such as Scala, Spark, Hadoop MapReduce), and statistical modeling skills (like Python or R) and  Machine learning (ML) techniques include clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, association rules, sequential pattern discovery, and text mining
  • Proficiency in the use of statistical packages
  •  Experience in software design and development.
  •  Has experience and/or interest in refactoring legacy systems to use more modern technology.
  •  Strong oral and written communication skills.
  •  Ability to work collaboratively with other engineers and have strong influencing and leadership skills. 
  •  Ability to handle multiple tasks concurrently with competing deadlines.
  •  Aptitude for troubleshooting and resolving issues even in unfamiliar environments.
  •  Ability to work on complex issues that require a detailed analysis of a variety of factors.
  •  Ability to work collaboratively within a team -- yet the ability to work independently, as well.
  •  Ability to develop longer-range project plans and schedules to complete complex projects or new product development.
  •  Experience in an environment that included revision control and project lifecycle tooling (Agile preferred).
  •  Ability to perform well in very dynamic environment.
Education & Experience
  • The successful candidate will possess 3+ years minimum of experience in data science or data engineering on an Enterprise SaaS solution, platform, marketplace, or other software-led product in an agile B2B environment, and 5+ years of experience overall.
  • Advanced degree in Computer Science, Statistics, Applied Mathematics or other analytical or quantitative-based field.
  • Deep mastery of a wide range of ML techniques, tools, and methodologies with a demonstrated capability to apply them to a broad range of business problems and data sources.
  • Experience with text mining, NLP and Deep Learning packages.
  • Experience with implementing and shipping predictive data and analytics products.
  • Proficiency in SQL, Python/R and experience with MapReduce frameworks.
  • Experience with Asset Management, Services Management or Operational software a plus.
  • Superb communication skills for both oral and written communication; ability to communicate confidently across all levels inside and outside of the organization.

 

So get ready to tap into the data visionary within, and join us as we accelerate digital transformation and empower our customers to change the world with data!

 

If you ask a NetApp employee why they work here, the answer is inevitably the same: the people. At NetApp, our culture is at the heart of what we do. We place importance in trust, integrity, teamwork, and caring above all else. NetApp is a place where people are empowered to make a difference. Empowered to innovate. Empowered to collaborate. Empowered to help ourselves and others be data-driven and change the world. We take care of each other, our customers, our partners, and our communities simply because it’s the right thing to do.

 

We work hard but also recognize the importance of work-life balance for our employees because what’s important to them is important to us!  Recently we implemented Family First, which encourages employees to take paid time off to bond with a new child (through birth or adoption) or to care for a family member with a serious health condition.  Our volunteer time off program is best in class, offering employees 40 hours of paid time off per year to donate their time with their favorite organizations.  We provide comprehensive medical, dental, wellness and vision plans for you and your family.  We offer educational assistance, legal services, and access to discounts and fitness centers. We also offer financial savings programs to help you plan for your future.  

 

Join us and see what empowerment can do.

 

 

Equal Opportunity Employer Minorities/Women/Vets/Disabled


Nearest Major Market: Durham
Nearest Secondary Market: Raleigh

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