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Per the Washington statute, the estimated range of compensation for this job in Vancouver, at the time of this posting, is $144,000 to $176,000. This position may be eligible for incentive pay, for openings where this is applicable.
eHP is making a big investment in improving customer experience, and you can be part of it! This Data Scientist role is responsible for helping build advanced data analysis tools and automated analytics using machine learning and artificial intelligence. You will develop and provide the tools needed for other Business Analysts on the team to dive into the data for insights and recommendations that can be shared back to internal partners - to improve the customers' experience using HP products and services. You will partner closely with other Data Scientists and Data Analysts on the team - not only to assist the Business Analysts - but to also drive our customer experience data-centric initiatives forward. The role is part of HP's Customer Experience Organization and will focus on a variety of different products and end-to-end experiences over time. So, flexibility and eagerness to learn new areas of the business are required for success!
You will develop statistical modelling and prediction algorithms based on a variety of customer experience data types and sources. These algorithms will help us make predictions and determine where the largest opportunities for improving our customers' experiences are. You will help build the tools that our internal stakeholders use for detailed analysis and continue to refine and improve them on an ongoing basis to meet their evolving needs.
Responsibilities
Knowledge & Skills
Scope & Impact
Education & Experience
About HP
You're out to reimagine and reinvent what's possible-in your career as well as the world around you.
So are we. We love taking on tough challenges, disrupting the status quo, and creating what's next. We're in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.
HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.
Our history: HP's commitment to diversity, equity and inclusion - it's just who we are.
From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line. Come to HP and thrive!
Full Time
Durable Manufacturing
$129k-158k (estimate)
03/21/2023
04/25/2023
hp.com
PALO ALTO, CA
>50,000
1939
Public
ENRIQUE LORES
>$50B
Durable Manufacturing
Hewlett Packard is a provider of IT infrastructure, hardware and storage solutions.
The job skills required for Data Scientist include Data Science, Machine Learning, Python, Insight, Algorithms, SQL, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
12/22/2021: Dallas, TX
Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
02/17/2022: Lompoc, CA
A data scientist develops software to structure the raw data.
02/16/2022: Lansing, MI
Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
02/12/2022: San Diego, CA
Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
02/01/2022: Peoria, IL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
01/31/2022: Passaic, NJ
Data scientists lay a solid foundation to help perform all kinds of analysis.
01/31/2022: Champaign, IL
Data scientists are also expected to have stronger software engineering skills that data analysts.
02/19/2022: Springfield, OR
Business analysts are focused on reporting, just like data analysts.
02/04/2022: Jamestown, NY
A data scientist should understand the assumptions that need to be met for each statistical test.
03/04/2022: Hialeah, FL
Step 3: View the best colleges and universities for Data Scientist.