Senior Data Scientist

* 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.
* 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.
* 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.
* 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.

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 : .
** Hewlett Packard Enterprise
** Technology innovation that fosters business transformation.

We help customers use technology to slash the time it takes to turn ideas into value. In turn, they transform industries, markets and lives.

Some of our customers run traditional IT environments. Most are transitioning to a secure, cloud-enabled, mobile-friendly infrastructure. Many rely on a combination of both. Wherever they are in that journey, we provide the technology and solutions to help them succeed.
** Standards of Business Conduct (SBC)
** The Hewlett Packard Enterprise Standards of Business Conduct (SBC) embody the fundamental principles that govern our ethical and legal obligations to Hewlett Packard Enterprise. They pertain not only to our conduct within the company but also to conduct involving our customers, channel partners, suppliers and competitors.

Read more about how we
** Equal Opportunity Employer (EEO)
** Hewlett Packard Enterprise provides equal employment opportunity to any employee or applicant without regard to sex, gender, color, race, ethnicity, religion, creed, national origin, ancestry, citizenship, age, marital status, sexual orientation, gender identity and expression, physical or mental disability, medical condition, pregnancy, protected veteran status, uniformed service status, familial status, genetic information, political affiliation, or any other characteristic protected by federal, state, or local law.

If you’d like more information about your EEO right as an applicant under the law, please :
Know Your Rights.
** E-Verify**  **(US & PR only)
** HPE is an E-Verify employer. E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm the employment eligibility of all newly hired employees. For more information .
** Accessibility
* * Hewlett Packard Enterprise is committed to working with and providing reasonable accommodation to qualified, differently abled individuals. If you need assistance in filling out the employment application or require a reasonable accommodation while seeking employment, please email global-talent

Note:

This option is reserved for applicants needing…