As the world around us becomes more connected and digital, there are increased opportunities for fraud and disruption due to cybersecurity attacks. The need for companies, products, and services to be secure is more important than ever in this constantly changing landscape.Are you passionate about keeping good people safe from bad actors? We are too! We are HP Cybersecurity and we are tasked with the security of the HP enterprise. As HP continues our digital transformation, the work of the cybersecurity professional is never complete and is always interesting. Come be a part of making a difference with us!HP is seeking a highly motivated and experienced Cyber Risk Data Scientist to join our Cybersecurity, Governance, Risk, and Compliance department. The successful candidate will specialize in risk management, risk quantification, and data science. The Cyber Risk Data Scientist role will assist with managing cyber risks using industry standard methodologies and data science practices in order to protect HP’s reputational and financial health.Key Responsibilities:<ul><li>Provide support to overall GRC program through various strategic initiatives.</li><li>Risk Quantification: Develop and implement robust methodologies to quantify and measure various types of risks, including financial, operational, and reputational risks.</li><li>Risk Assessment: Evaluate the potential impact and likelihood of identified risks on HP's business objectives.</li><li>Value at Risk (VaR) Estimation: Employ VaR models to assess the potential losses that HP may incur due to a cyber incident.</li><li>Data-Driven Decision Making: Analyze data from GRC technologies to identify emerging risks and provide insights to support data-driven decision-making.</li><li>AI and Machine Learning: Leverage AI and machine learning algorithms to develop predictive models for risk identification and assessment.</li><li>Big Data Analytics: Utilize big data analytics techniques to analyze large datasets and extract meaningful insights related to risk factors.</li></ul>Qualifications:<ul><li>Strong individual leadership skills that are demonstrated via high-level of collaboration and teamwork amongst direct team and strategic stakeholders, that deliver value-added results.</li><li>Ability to form relationships and cultivate a positive working environment.</li><li>Strong understanding of risk management principles and methodologies.</li><li>Advanced degree in quantitative finance, statistics, economics, or a related field.</li><li>Proficiency in statistical analysis and data modeling techniques.</li><li>Experience with AI, machine learning, and big data analytics tools and platforms.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and interpersonal skills.</li><li>Ability to work independently and as part of a team.</li><li>Strong familiarity with risk management frameworks such as NIST, ISO.</li><li>Knowledge of financial modeling and valuation techniques.</li></ul>Highly Preferred Qualifications:<ul><li>Experience with administration of Risk Management platforms.</li><li>Experience in the technology industry or a related field.</li></ul>Education & Experience Recommended:<ul><li>Four-year or Graduate Degree in Computer Science, Information Technology, or any other related discipline or commensurate work experience or demonstrated competence.</li><li>Typically has 7-10 years of work experience, preferably in cyber & IT security, or a related field.</li></ul>Knowledge & Skills:<ul><li>Cybersecurity operations</li><li>Cybersecurity governance</li><li>Cybersecurity policies</li><li>Auditing</li><li>Risk management</li><li>Automation</li><li>Risk analysis</li><li>Issue tracking</li><li>Security controls</li><li>Operating systems</li></ul>Cross-Org Skills:<ul><li>Effective Communication</li><li>Results Orientation</li><li>Learning Agility</li><li>Digital Fluency</li><li>Customer Centricity</li></ul>Impact & Scope:<ul><li>Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.</li></ul>Complexity:<ul><li>Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.</li></ul>Disclaimer:This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.The base pay range for this role is $102,500 to $157,850 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:<ul><li>Health insurance</li><li>Vision insurance</li><li>Long term/short term disability insurance</li><li>Employee assistance program</li><li>Flexible spending account</li><li>Life insurance</li><li>Generous time off policies, including:</li><ul><li>4-12 weeks fully paid parental leave based on tenure</li><li>11 paid holidays</li><li>Additional flexible paid vacation and sick leave</li></ul></ul>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.
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**Description**HP 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 advancements**Education 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 experience**Knowledge 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 (https://hpbenefits.ce.alight.com/) )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.Equal Opportunity Employer (EEO):HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Data Scientist Hewlett Packard Enterprise Jobs

Cyber Risk Data Scientist
December 10, 2024

Supply Chain Data Scientist
November 30, 2024

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Data Scientist Hewlett Packard Enterprise Jobs

Cyber Risk Data ScientistDecember 10, 2024

Supply Chain Data ScientistNovember 30, 2024

Quick filters

Top companies

Cyber Risk Data Scientist
December 10, 2024

Supply Chain Data Scientist
November 30, 2024