Data Scientist at Hewlett Packard Enterprise

Spring, Texas, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud ComputingIndustries

Requirements

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 5-6 years of relevant experience
Extensive knowledge of data science methodologies, including classical regression and data mining techniques
Skilled at translating business requirements into mathematical models and data science objectives to deliver measurable business outcomes
Strong expertise in analytics software (e.g., Python) and advanced understanding of analytics deployment architectures
Proficient in advanced statistics, operations research, computer science, and process methodologies

Responsibilities

Defines and develops the value proposition to lead the formulation and definition of analytics solution objectives and technical requirements based on user needs, an understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing, process)
Conceptualizes, builds, develops, and enhances a client's analytic model. Determines the right modeling methodology to the use case, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business focused insights
Embeds analytic models into enhanced large scale business processes and operational systems by collaborating with Developers
Translates large volumes of complex information into elegant, simplified visual models using unique visualization techniques
Takes ownership of developing and maintaining the logic for building the Eligible Base for the IB business, implementing enhancements to ensure accuracy, scalability, and alignment with business needs
Uses advanced analytical techniques to uncover trends, generate actionable insights, and identify new opportunities to drive growth and performance in the OS business (expand it to GL business in future)
Designs, develops and applies programs, methodologies and systems based on advanced analytic models to transform structured and unstructured data into meaningful and actionable information insights that drive decision making
Uses visualization techniques to translate analytic insights into understandable business stories (e.g., descriptive, inferential and predictive insights)
Embeds analytics into business processes and applications. Combines business acumen and scientific methods to solve business problems
Provides technical leadership for significant project/program work. Leads or participates in cross-functional initiatives and contributes to mentorship and knowledge sharing across the organization

Skills

Advanced Statistics

Operations Research

Data Visualization

Predictive Analytics

Machine Learning

Business Analytics

Data Transformation

Hewlett Packard Enterprise

Provides enterprise IT solutions and services

About Hewlett Packard Enterprise

Hewlett Packard Enterprise provides enterprise IT solutions with a focus on cloud services, artificial intelligence, and edge computing. Their products include HPE Ezmeral for managing containers, HPE GreenLake for cloud services, and HPE Aruba for networking. These solutions help businesses improve their performance and adapt to digital changes. HPE's business model includes selling hardware, software, and services, as well as offering subscription-based services and long-term contracts. What sets HPE apart from competitors is its commitment to open-source projects and its active developer community, which supports collaboration and innovation. The company's goal is to empower organizations to transform digitally and optimize their operations.

Houston, TexasHeadquarters

1939Year Founded

IPOCompany Stage

Hardware, Enterprise Software, AI & Machine LearningIndustries

10,001+Employees

Risks

Integration challenges with Juniper Networks may delay AI-driven networking benefits.

Competition from startups like Flywheel could impact HPE's AI and cloud services.

HPE's acquisition strategy may strain resources and distract from core operations.

Differentiation

HPE's GreenLake offers a unique hybrid cloud platform for diverse IT environments.

HPE Ezmeral provides advanced container management, enhancing enterprise AI and analytics capabilities.

HPE's Aruba solutions integrate cloud security and networking for seamless, secure connectivity.

Upsides

HPE's acquisition of Juniper Networks boosts AI-driven innovation in networking.

OpsRamp acquisition enhances HPE's IT management with AI-based automation capabilities.

Axis Security integration strengthens HPE's cloud security offerings with SASE solutions.

Land your dream remote job 3x faster with AI

Try Jobo Free