Über diese Data Scientist Stelle bei Hewlett Packard Enterprise
This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week 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:
At HPE Networking, the Digital Experience & Automation (DEA) team is reimagining how people experience support and services in a digital‑first world—setting new standards for the future of networking. We enable customers, partners, and employees through AI‑driven tools and modern platforms, transforming support into a unified, efficient, and simple experience that drives measurable value. Our mission is grounded in innovation with purpose: applying automation, AI, and data‑driven insights to simplify journeys, reduce friction, and create meaningful outcomes at every touchpoint.
What you will do:
DEA’s charter is to discover, evaluate, and scale solutions that embed intelligent technology into every interaction—delivering proactive and predictive experiences that shorten resolution times and accelerate task completion. We partner closely with technology providers, engineering, and business teams to deliver seamless omnichannel experiences and enable business transformation through data engineering, process optimization, and automation. Our work is fuelled by a passion for self‑service, intelligent automation, and building digital experiences that are intuitive, scalable, and human‑centric.
Roles and Responsibilities:
Interpret data, analyse results using statistical techniques and provide advanced measurement dashboards
Develop and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Identify, analyse, and interpret trends or patterns in complex data sets in addition to defining success metrics spanning model quality, user engagement and business outcomes.
Work with management to prioritize business and information needs & analyse and prepare interpretations of data to use to develop conclusions
Locate and define new process improvement opportunities via creating of long-term monitoring frameworks to measure feature adoption, performance drift and business impact over time.
Discover trends and patterns across customer journey using clustering, segmentation and anomaly detection and chain models of user behaviour.
Extensive experience on machine learning and data mining algorithms like Clustering, Regression (Linear and Non-Linear), Dimensionality Reduction frameworks, Double ML, Model Calibration and fine tuning based on experiments, bias-variance trade-off in ML models, customer lifetime value modeling, survival models through hazard function optimization.
Experience with creating and running surveys based on sampling strategies derived from power analysis, experiments based on creation of test/control groups using propensity score matching and model calibration from the results of the experiment while correcting for responder bias from the survey or experiment reach.
Work with cross-functional teams to build data solutions that impact business decisions
Partner with Data Engineering to design scalable data models and canonical schemas supporting analytics and AI workloads.
Design Power BI dashboards and advanced data visualizations to effectively communicate findings to both technical and non-technical audiences
Conducts and facilitate (and educates and trains on) analysis, issues identification, organizational risk assessment, and decision-making processes.
Experience working on process improvements and re-engineering via feedback collection through voice of customer surveys, using appropriate techniques for sample size determination and bias corrections.
Provides consulting and analytic services to leadership.
Provides support, mentoring and training to junior data scientists.
What you need to bring:
Required Experience/Background:
Master’s or PhD degree in business administration, economics, computer science, management information systems, or related field or equivalent related experience
Overall 5-7+ years of experience in Data Science, Machine Learning or Applied Research of Measurement frameworks or systems.
Experience with Generative AI, RAG and Multi-Turn Evaluation, Statistical modelling, Data Mining ,Reporting & Analytics and Customer Journey models and frameworks.
Strong understanding of data models, ETL pipelines, python programming, machine learning models for measuring efficacy of deployed solutions and advanced dashboarding skills for storytelling with data.
Knowledge of statistics and experience using statistical packages for analysing datasets, including significance tests, sampling strategies, power analysis, regression models and exploratory data analysis.
Experience working with customer support data, conversational AI logs and omnichannel analytics, Higher Order Markov Chain models, Hazard Models are preferred.
Experience on Snowflake & Databricks platform to create metrics views for business analysis, establishing connections to Power BI and creating business views/metrics tables from delta lake tables is preferred.
Experience in working with Data Engineering team to define the business views needed for advanced analytics & measurement is preferred.
Personal Skills:
Ability to collaborate cross-functionally in a fast-paced environment and build sound working relationships within all levels of the organization.
Ability to handle sensitive information with keen attention to detail and accuracy. Passion for data handling ethics.
Ability to solve complex, technical problems with creative solutions while anticipating stakeholder needs and providing assistance to meet or exceed expectations.
Able to demonstrate perseverance and resilience to overcome obstacles when presented with a complex problem.
Assist in combining large data sets and data analysis to create optimization strategies.
Comfortable with ambiguity and uncertainty of change when assessing needs for stakeholders.
Have effective time management skills which enable you to work successfully across functions in a dynamic and solution-oriented environment while meeting deadlines
Self-motivated and innovative; confident when working independently, but an excellent team player with a growth-oriented personality
Will be required to routinely or customarily troubleshoot items related to applications that require independent judgement, decision-making, and unique approaches
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:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job:
EngineeringJob Level:
TCP_03
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.
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