PRINCIPAL DATA SCIENTIST

Principal Data Scientist Description - The Company.
HP is a Fortune 100 technology company with $58+ Billion in revenue, with over employees operating in more than 170 countries around the world.
We provide technology and services that help people and companies address their problems and challenges, and realize their possibilities, aspirations and dreams.
We apply new thinking and ideas to create simpler, more valuable and trusted experiences with technology, continuously improving the way our customers live and work.
Position Background.
We are looking for an enthusiastic, experienced ML scientist to join HP's marketing data science team.
In this role, you will have the opportunity to define the scientific approach to a new area of model development, frequently contribute to the development of innovative ideas and methods, coach the less experienced staff members, and leads several complex projects.
This person will work to identify business needs, align with key stakeholders, and is passionate about problem solving through power of ML and AI, seamlessly connects model findings to business strategy, and generating recommendations that guide and grow the business.
Responsibilities.
Defines new approaches that could be considered industry wide innovations (next practices) Defines and implements models to uncover patterns and predictions creating business value and innovation Uses their expertise and influence to change the way HP thinks about current business strategy Provides guidance, training and mentoring to less experienced staff members Provides domain-specific expertise in cross-organization projects/initiatives Effectively collaborates with Managers, Directors, EXEC2s and EXEC3 Develops clear presentations for senior decision makers including case for change, options, trade-offs and recommendation Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives Supports their people leader with skills assessment, feedback, hiring criteria/approach Ties insights into effective visualizations communicating business value and innovation potential Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
Contributes to industry data science domain initiatives Job Requirements.
Extensive experience using statistics, mathematics, algorithms, and programming languages to solve business problems and deploy ML models into production at scale.
Theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, etc.
Advanced proficiency in Python and SQL, comfortable on the command line Ability to effectively communicate data insights to non-technical audiences and at senior management levels Bachelor's, master's or Ph.
.
degree in Mathematics, Economics, Physics, Computer Science, or equivalent Typically, 10+ years of relevant work experience Who We Are At HP, we believe in the power of ideas.
We use ideas to put technology to work for everyone.
And we believe that ideas thrive best in a culture of teamwork.
That is why everyone - at every level in every function, is encouraged to think big, have original ideas and express and share them.
We trust anything can be achieved if you really believe in it, and we will invest in your ideas to change lives and the way people work.
This vision is what sets us apart as a company.
At HP, we work across borders and without limits.
Global virtual teams share resources, pool their big ideas to solve our biggest business opportunities.
Everyone is valued for the unique skills, experiences, and perspective they bring.
That is how we work at HP.
And this is how ideas and people grow.
#LI-POST Job - Software Schedule - Full time Shift - No shift premium (Mexico) Travel - No Relocation - Not Specified 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).
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The information obtained will be kept in strict confidence.
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