Data Science and AI Analyst
- Hewlett Packard
- 2 - 3 years
- Bengaluru
- 10 days ago
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Job Description
Data Science and AI Analyst HPE Operations is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers outcomes from their digital transformation. Our teams collaborate to transform insight into innovation. In today s fast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Join us and redefine what s next for you.
What you ll do:
R e sponsibilities:
- Applies basic knowledge of the clients business need to formulate and define analytic objectives. Uses available data elements, defines business rules, and solution objectives.
- Develops, enhances and maintains a clients metadata based on analytic objectives. May load data into the infrastructure, creates hypothesis matrix, and identifies available data to prepare for the Exploratory Data Anlysis (EDA) and hypotheses.
- Builds models to supports/contribute to the overall solution, validates initial model and validates results & performance after the implementation.
- Researches, identifies, and aids in delivering data science solutions to problem domain. Contributes significantly in measurement of business performance based on the model deployed. If needed, leads the model enhancements.
- Create visualization of the models insights for easy consumption.
What you need to bring:
Education and Experience Required:
- Master s degree in Statistics, Operations Research, Computer Science or equivalent preferred. Or Bachelor s Degree in these areas and at least 2-3 years of relevant experience.
Knowledge and Skills:
Data Science and Analyses Proficiency: Expert knowledge of classical methodologies, including regression.
Generative AI & LLMs: Working knowledge of Generative AI architectures, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
Advanced Analytics: Proven experience in forecasting, projections, association rules, and sequence analysis to drive business strategy.
Business Translation: Ability to translate complex business requirements into clear data science objectives and sophisticated mathematical models.
Programming Expertise: Advanced proficiency in Python and SQL for model development and data manipulation.
Modern AI Tools: Strong background in utilizing AI/ML frameworks and traditional analytics software (e.g., SAP).
Data Engineering (ETL): Hands-on experience with data integration, modeling, and ETL tools such as SSIS, Informatica, Ab Initio, or Talend.
Data Visualization: Mastery of data visualization techniques using Power BI to communicate insights through compelling visual storytelling.
Global Collaboration: Strong interpersonal skills with the ability to work effectively across geographical boundaries and diverse, cross-functional teams.
Strategic Communication: Excellent presentation skills, capable of explaining technical data and AI concepts to both technical and non-technical stakeholders.
Additional Skills:
Job:
Engineering Job Level:
TCP_02 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 .
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: Hewlett PackardLocation(s): Bengaluru+ View Contact
Keyskills: IT services Data analysis metadata SAP Development Manager Analytical Social media Business strategy Forecasting Recruitment
Fraud Alert to job seekers!
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