Data Scientist Personal Systems - CEPS Description - HP Inc. is an iconic brand, rooted in technology, pioneering new markets, and supporting values that have mattered for over 80 years. We are on a mission to be the most sustainable company in the world while bringing modern technology innovations to our customers across hardware, software, and services platforms. We are here to make HP a destination workplace where world-class talent comes to build once-in-a-lifetime careers. We want everyone in our organization to learn, grow, perform, and thrive while creating an industry-leading company. Now is an exciting time to join HP's Customer Experience and Portfolio Strategy business where you will play an integral role in innovating and transforming the future of compute through AI differentiated PCs and industry leading AI software solutions. Our mission is clear - bring AI to the masses through hardware and amazing software experiences. The Customer Experience and Portfolio Strategy team is on the leading edge and creating the future of R&D through AI. Applies intermediate level of subject matter knowledge to solve a variety of common business issues. Works on problems of moderately complex scope. Acts as an informed team member providing analysis of information and limited project direction input. Exercises independent judgment within defined practices and procedures to determine appropriate action. Follows established guidelines and interprets policies. Evaluates unique circumstances and makes recommendations. Responsibilities <ul><li>Mines data using modern tools and programming languages.</li><li>Defines and implements models to uncover patterns and predictions creating business value and innovation.</li><li>Works with project team to understand problem statements, initiates and direction.</li><li>Tells stories with the data using visualization tools/methods to demonstrate insight impact.</li><li>Assures accuracy, integrity, and compliance of cleansed data.</li><li>Maintains proficiency within the data science domain by keeping up with technology and trend shifts.</li><li>Collaborates and communicates with project team regarding project progress and issue resolution and suggests changes or improvements.</li></ul> Knowledge & Skills <ul><li>Using statistics, mathematics, algorithms, and programming languages (coding skills). Python.</li><li>Ability to apply analytical and problem-solving skills.</li><li>Understanding of disparate unstructured and structured data in a distributed environment.</li><li>Solid grasp of structured and unstructured data and modern data transformation methodologies</li><li>Ability to create models to pull valuable insights from data.</li><li>Create stories and visualizations to describe and communicate data insights.</li><li>Strong analytical and problem-solving skills.</li><li>Creative.</li><li>Excellent written and verbal communication skills; mastery in English and local language.</li><li>Ability to effectively communicate data insights negotiate options.</li></ul> Scope & Impact <ul><li>Collaborates with peers, junior engineers, data scientists and project team.</li><li>Typically partners with high-level Individual Contributors and Managers.</li><li>Supports projects requiring data engineering solutions expertise.</li></ul> Education & Experience <ul><li>Bachelor's or Master's degree in Mathematics, Economics, Physics, Computer Science, or equivalent.</li><li>Typically 2-4 years' experience including graduate or postgraduate research.</li></ul> Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - 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). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you'd like more information about HP's EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement

Data Scientist Intern Description - Are you passionate about technology and looking to work in an agile start-up environment that is built on the brand recognition, solution capabilities, and global reach of a world-class technology pioneer? The HP Workforce Solutions (HPWS) team operates in a highly dynamic landscape that delivers a best-in-class, multi-OS Services portfolio powered by software, cloud, data analytics, and machine learning. The AI Systems team within HPWS is seeking a forward-thinking Data Science Intern who is passionate about driving innovation at scale, solving real-world customer issues through AI/ML and delivering stellar customer experiences using one of the largest datasets in the world. You will be expected to be hands on and routinely exercise independent judgment in delivering of new Data Science / Machine Learning insights. Key Responsibilities <ul><li>Work closely with product management to understand product vision and user engagement strategy for the HP AI System's Team.</li><li>Identify AI opportunities, hands-on prototype and iterate models and deploy them across millions of devices.</li><li>Work with Data Scientists and Software Engineers to deliver on the Data Science Roadmap in a fast-paced environment.</li><li>Balance the business needs with technical constraints by building deep subject matter expertise for your area.</li><li>Maintain the team's focus on strategy and goal-oriented results when tackling complex problems.</li><li>Provide regular updates about program progress, issues, and risks to key stakeholders.</li><li>Comfortable with hands-on, day-to-day problem solving, implementing quick and effective action plans to meet short-term priorities and emerging opportunities.</li></ul> Knowledge and Skills: Minimum: <ul><li>Passion for data science & delivering data driven outcomes.</li><li>Extensive experience using statistics, mathematics, algorithms, and programming languages.</li><li>Expert knowledge of SQL, Python.</li><li>Strong analytical and problem-solving skills.</li><li>Deep understanding of Machine Learning concepts and tools.</li><li>Create stories and visualizations to describe and communicate data insights in a clean and simple manner. </li><li>Hands-on technical skills with the inquisitiveness to learn products, work with them, and provide recommendations to drive continuous improvement.</li><li>Able to work independently yet collaborate cross-functionally in a global and multicultural environment</li><li>Comfortable and effective working in new areas that require experimentation and rapid problem-solving</li></ul> Preferred: <ul><li>Experience in PySpark.</li><li>Experience in Cloud computing, especially AWS.</li></ul> Education and Experience: <ul><li>2nd year master's student in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)</li></ul> HP offers a comprehensive benefits package, including: •Dental Insurance •Disability insurance •Employee assistance program •Flexible schedule •Flexible spending account •Health insurance •Life insurance Our compensation reflects the labor cost across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $29.00 $36.00 hourly, with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. Job - Administration Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - 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). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you'd like more information about HP's EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement

Data Scientist Jobs in Spring, TX

Data Scientist Personal Systems Ceps
April 27, 2024

Data Scientist Personal Systems Ceps
April 26, 2024

Data Scientist Intern
April 16, 2024

Data Scientist Intern
April 13, 2024

Data Scientist
April 6, 2024

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Data Scientist Jobs in Spring, TX

Data Scientist Personal Systems CepsApril 27, 2024

Data Scientist Personal Systems CepsApril 26, 2024

Data Scientist InternApril 16, 2024

Data Scientist InternApril 13, 2024

Data ScientistApril 6, 2024