Jobs for People with MS: National MS Society

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.

Innovation is in our DNA. From HP's origins in a Palo Alto garage in 1939, to our current position as one of the world's leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators and entrepreneurs around the globe. We dream in over 35 languages and share one mission: to engineer experiences that amaze.

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!

We are seeking a passionate Data Scientist graduate to join our dynamic team. As a Data Scientist, you will play a role in development cutting edge AI and machine learning solutions.

Responsibilities

• Works with the team to mine data using modern tools and programming languages.

• Develops algorithms, performs small scale experimentation, builds data driven applications to translate data into intelligence, and develops solutions for solving business problems.

• Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data.

• Supports the implementation of models to uncover patterns and predictions.

• Assures accuracy, integrity, and compliance of cleansed data.

• Maintains proficiency within the data science domain by keeping up with technology and trend shifts.

• Collaborates and communicates with project team regarding project progress and issue resolution.

• Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information.

Education & Experience Recommended

• Four-year Degree in Data Science, Mathematics, Statistics, Economics, or any other related discipline.

• Typically has 0-2 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.

We are looking for visionaries who are ready to make an impact on the way the world works. At HP, the future is yours to create. Thanks for taking the time to review our job, if you think it is a match to your knowledge and interests please apply today - we are eager to learn more about you.

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 cost of labor 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 $70400 - $108400 annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also 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.

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).