Senior Data Scientist

Senior Data Scientist

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

Senior Data Scientist will be engaged in data science-related research and software application development and engineering duties related to our AI Datacenter technology and autonomous platform to provide an unprecedented visibility and operational efficiency and into the user experience. The Software Engineer will collaborate with other engineers and to build the next generation of autonomous Datacenter networks leveraging big data and predictive models.

The Software Engineer will leverage the data collected from the network to empower the inference engine of our Mist platform and systems, including the Mist virtual assistant chat bot. In addition, will use his/her knowledge of network communication, machine learning and software engineering to develop and implement scalable algorithms to process a large amount of streaming data to detect anomalies, predict problems, provide Root Cause Analysis (RCA) and classify them in real-time. The Software Engineer will also be responsible to develop the software and algorithms to enhance the cloud intelligent for Marvis.

Job Duties:

• Design and implement machine learning solutions which require to process terabytes of streaming data to detect anomalies in DC networks of our customers, predict problems and future trends, provide Root Cause Analysis (60%)

  • Solid statistics and math background, good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.

  • Excellent Communication Skills to articulate observations and use cases with PM and network domain experts who are not experienced in AI/ML through data visualization tool.

  • Have done time series data analysis, forecasting and correlation is preferrable.

  • Have utilized latest AI/ML techniques, such as Neural Networks, Transformer, etc. for time series data or interested to explore these techniques for time series data.

  • Analyze feature requirements from product manager, collaborate with engineers and data scientists to design the solutions.

  • Require good understanding of datacenter networking topology and protocols.

• Troubleshoot production environment and customer reported issues (20%)

  • Require the knowledge of the multi-cloud production environment

  • Require the agility to troubleshoot open-source data processing engine, such as Apache Spark, Apache Storm and Apache Flink

• Utilize analytical and programming skills and open-source systems, such as Hadoop, Hive, Spark, Elasticsearch, Redis, etc. develop data processing pipeline required efficacy and latency (20%) 

  • Require good knowledge and experience of the big data tool sets and techniques of distributed storage and computation engine

  • Require the experience to develop the reusable and highly scalable data processing component

  • Require good knowledge and experience to work with cloud based CICD tools and cloud devops teams to collect stats and create monitors for our data processing pipelines

  • Require good understanding of MCPs and Agentic frameworks.

Basic Qualifications:

• Bachelor's degree in Computer Science/ Engineering/Mathematics or equivalent experience

• 5+ years of experience Search Indexing, Ranking, Information Retrieval and Querying.

• Proficient in Python and Golang

• Proficient in implementing NLP, Machine Learning models and algorithms into production at scale.

Preferred Qualifications:

• PhD degree in Statistics, Operations Research, Computer Science or equivalent and 5+ years of relevant experience. Or Master´s Degree in these areas and at least 8 years of relevant experience.

• Experience with statistical data analysis, data mining, and querying.

• Experience in deploying and leading complete ML platforms in AWS/GCP/Azure.

Additional Skills:

Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 more}

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

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Job:

Engineering

Job Level:

TCP_05 "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 153,500 - 310,500 in California
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

No Fees Notice & Recruitment Fraud Disclaimer

It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors  will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.