Major Duties<ul><li>Serves as a Senior Data Scientist leading teams for the most complex projects. May also serve as a team participant or an independent analyst on professional data science teams.</li><li>Applies the rigors of the data science discipline to data analysis in Cyber, Information Technology and economic analyses of complex and potentially controversial major information technology systems and networks.</li><li>Responsible for advanced level data science analytics characterized as highly unstructured and complex, having little definition or clarity, and especially complex analytic projects assigned to the organization.</li><li>Provides business metrics and support for the most complex projects to identify improvements (contribution to the improvement should be monitored initially and over multiple iterations).</li><li>Coordinates with the data steward to ensure that the information used follows the regulatory and security policies in place.</li><li>Qualify where information can be stored or what information, external to the organization, may be used in support of the use case.</li><li>Lead analytical projects, providing direction and guidance to project members of a professional nature in the execution and implementation of projects.</li></ul>Qualifications/ Specialized ExperienceWho May Apply: Only applicants who meet one of the employment authority categories below are eligible to apply for this job. You will be asked to identify which category or categories you meet, and to provide documents which prove you meet the category or categories you selected. See Proof of Eligibility for an extensive list of document requirements for all employment authorities. Current Army Cyber Excepted Service (CES) Employee Current Army Defense Civilian Intelligence Personnel System (DCIPS) Employee Current Civilian Employees of the Organization Applying to Cyber Excepted Service (CES) Positions Current Department of Army Civilian Employees Current DoD Cyber Excepted Service (CES) Employee (non-Army) Current DoD Defense Civilian Intelligence Personnel System (DCIPS) Employee (non-Army) Current Permanent DoD Civilian Employee (non-Army) Applying to Cyber Excepted Service Positions Non-Department of Defense (DoD) Transfer Applying to Cyber Excepted Service Positions Army CES positions apply Veteran's Preference to preference eligible candidates, as defined by Section 2108 of Title 5 U.S.C., in accordance with the procedures provided in DoD Instruction 1400.25, Volume 3005, "CES Employment and Placement". If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you must submit documents verifying your eligibility with your application package. In order to qualify, you must meet the education and experience requirements described below. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document. Basic Requirement for Data Scientist: A. Degree: Bachelor's degree (or higher degree) in in mathematics, statistics, computer science, data science or field directly related to the position. OR B. Combination of Education and Experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus appropriate experience or additional education. In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: GG-11 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) assisting with analyzing data in cyber, information technology, or other areas to ensure plans meet programming requirements; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) working on a team providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-12 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) analyzing data in cyber, information technology and/or economic information to ensure plans meet programming or budgetary requirements; (2) providing business metrics and support for complex projects to identify needed improvements; (3) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-13 Qualifying Experience: To qualify based on your experience, your resume must describe two years of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) leading teams in analyzing data in cyber, information technology to ensure plans meet programming; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research; (5) ensuring information used is in compliance with regulations and security policies.

DescriptionHP is the world's leading personal systems and printing company. We create technology that makes life better for everyone, everywhere. Our innovation springs from a team of passionate, talented, and curious individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.We are looking for visionaries, with a passion for learning, to join our Strategic Planning and Modelling (SPaM) Data Science team. Our team members are tasked with evaluating supply chain investment and improvement opportunities, generating strategic business recommendations, and creating next-generation predictive and prescriptive analytical model deployments. We provide technical and thought leadership as we partner with senior executives to set strategic direction and drive innovation in our global supply chain.HP's SPaM team draws upon a 35-year history of success in supply chain innovation, enjoys a flexible work schedule, and invests in our continued success through formal training and mentorship.Join SPaM, if pioneering data-based innovations to solve business challenges for HP sounds like fun to you!Responsibilities* Pair with SPaM team members and collaborate with cross-functional teams to frame business challenges, structure analytical approaches, gather key data, evaluate alternative solutions, and present well-supported conclusions to management* Develop and diffuse innovations in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, distribution, and related areas* Effectively tell stories with data using visualization tools/methods to demonstrate insight, impact, and business value* Build, deploy, and support innovative predictive and prescriptive analytic solutions at scale* Use proven MOC techniques to ensure smooth adoption of new solutions* Maintain proficiency within the data science and supply chain management domains by keeping up with technology advancementsEducation and Experience Required* MS/PhD in a business analytics field (i.e. Industrial Engineering, Management Science, Operations Research, Statistics, Data Science) or MBA with Supply Chain or Operations concentration* Operational experience in one of the following: network design, inventory management, planning, forecasting, procurement, logistics, warranty, product quality, product variety management, or similar supply chain domain area* 10+ years experienceKnowledge and Skills* Applied experience with machine learning and optimization on large datasets* Proficient with Python, SQL, GitHub Co-Pilot, ChatGPT, PowerBI, Excel* Experience with generative-AI* Passion for data science & delivering data-driven outcomes* Demonstrated innovation across the supply chain domains (Plan, Source, Make, Deliver)* Expertise with inventory optimization math and deployment of the mathematical formulas into a business process* Demonstrated practical experience in an operational environment* Experience implementing and handing off operational analytical solutions to business users* Demonstrated ability to deal well with ambiguity and work collaboratively in a fast-pace environment* Excellent problem solver* Demonstrated ability to communicate concisely with diplomacy, credibility, and confidence* Experience with data visualization and data presentation in a clear and effective manner* Experience leading, collaborating with, and delivering results in cross-functional teams* Familiarity with statistics, forecasting, simulation, advanced data visualization, spreadsheet modelling* A desire to be a part of the HP team with a commitment to build upon our brand that is synonymous with innovation, trust, reliability, and sustainabilityThe base pay range for this role is $137,000 to $211,000 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.Benefits:HP offers a comprehensive benefits package for this position, including:* Health insurance* Dental insurance* Vision insurance* Long term/short term disability insurance* Employee assistance program* Flexible spending account* Life insurance* Generous time off policies, including;* 4-12 weeks fully paid parental leave based on tenure* 11 paid holidays* Additional flexible paid vacation and sick leave (US benefits overview)The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Data Scientist Jobs in Vancouver, WA

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Data Scientist Jobs in Vancouver, WA

Data Scientist Iv Generative AiNovember 10, 2024

Principal Data ScientistNovember 10, 2024

Principal Data ScientistNovember 4, 2024

Data ScientistOctober 30, 2024

Supply Chain Data ScientistOctober 29, 2024