Data Scientist (MLOps)

Key Skills

Apache Hadoop, D3.js, ETL/ELT technologies, HTML5, Informatica, Java Programming, Python Programming, R Programming, SAS, Spotfire, SQL, Tableau, Talend, Text Processing, Unix Operating system

Job Description

This role has been designated as ‘Edge’, which means you will primarily work outside of an HPE office.

Job Description:

Job Family Definition:

Designs develop and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) 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 (eg. descriptive, inferential and predictive insights).

Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems.

Management Level Definition:

Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of new ideas and methods. Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Acts as an expert providing direction and guidance to process improvements and establishing policies. Frequently represents the organization to external customers/clients. Exercises significant independent judgment to determine best method for accomplishing work and achieving objectives. May provide mentoring and guidance to lower level employees.

Responsibilities:

• Guides and coordinates the formulation and definition of analytics solution objectives and technical requirements based on user needs, an understanding of business processes, industry requirements and advanced analytic models (statistical, operations research, computing, process).
• Conceptualizes, builds, develops and enhances a client's analytic model. Selects the relevant analytic modeling methodologies for the use case, available structured and unstructured data, cost and timing constraints to solve the complex business issues and deliver clear business focused insights.
• Embeds analytic models into an enhanced large scale business process and operational systems by collaborating with Application Developers.
• As an expert, creates best practices for applying analytic methods to problem domains.
• Using advanced visualization techniques, condenses complex ideas into elegant and simple visual models.
• Communicates the innovative analytic solution to stakeholders providing industry insight and improvements to the operational systems.

Education and Experience Required:

• Ph.D. degree in Statistics, Operations Research, Computer Science or equivalent preferred and 3+ years of relevant experience. Or Master´s Degree in these areas and at least 5-6 years of relevant experience.

Knowledge and Skills:

• In-depth knowledge of data science methodologies including but not limited to classical regression, neural nets, CHAID, CART, association rules, sequence analysis, cluster analysis, and text mining.
• Ability to translate business requirements into mathematical models and data science objectives to achieve measurable business outcomes.
• In-depth understanding of analytics software (eg. R, SAS, SPSS, Python). Advanced understanding of analytics deployment architectures.
• In-depth machine learning, data integration and mathematical modeling skills, and ETL tools (Informatica, Ab Initio, Talend).
• In-depth communication and presentation skills.
• Strong interpersonal skills and effectiveness in working across geographical boundaries.
• Advanced knowledge of programming languages such as Python, SQL, R, SAS, Java, and Unix Shell scripting. Advanced knowledge of the Hadoop framework is desired.
• In-depth knowledge of data visualization techniques and software tools (eg. Spotfire, SAS, R, Qlikview, Tableau, HTML5, D3).

Job: Engineering

Job Level: Expert

Hewlett Packard Enterprise is EEO F/M/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.