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Open nowPosted today

Principal Data Scientist

HP810 open roles

Where
Austin, Texas, United States of America
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Your applicationOpen nowPrincipal Data ScientistHP · Austin, Texas, United States of America

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market. HP postings stay open a median of 28 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted today

HP median: 28 days open

The posting

Principal Data Scientist

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 Experience Platform 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 HP Workforce Experience Platform team is seeking a forward-thinking Data Scientist 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 data lakes in the world.

Responsibilities:

  • Work closely with product management to understand product vision and user engagement strategy for the WSS Managed Insights Team.
  • Identify AI opportunities, prototype and iterate models, and deploy them across millions of devices.
  • Work with Data Scientists and Software Engineers to deliver on the Data Science Roadmap in a fast-paced environment.
  • Balance the business needs with technical constraints by building deep subject matter expertise for your area.
  • Maintain the team's focus on strategy and goal-oriented results when tackling complex problems.
  • Provide regular updates about program progress, issues, and risks to key stakeholders.
  • Act as subject matter expert through internal training and demonstration of key product functionality for support, sales, onboarding, and other cross-functional teams.
  • Comfortable with hands-on, day-to-day problem solving and implementing quick and effective action plans to meet short-term priorities and emerging opportunities.
  • Influence decision making and problem solving across teams.
  • Conduct A/B testing and experimentation.

Education and Experience:

  • Master’s degree or PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, Physics, etc.).
  • 10+ years of industry experience in predictive modelling and data science roles.

Knowledge and Skills:

  • Passion for data science & delivering data driven outcomes.
  • Extensive experience using statistics, mathematics, algorithms, and programming languages.
  • Expert knowledge of SQL, Python and PySpark.
  • Strong analytical and problem-solving skills.
  • Fluent in structured and unstructured data, its management, and modern data transformation methodologies.
  • Deep understanding of current Machine Learning concepts and tools.
  • High EQ, ability to deal with ambiguity and work collaboratively in a high paced environment.
  • Create stories and visualizations to describe and communicate data insights in a clean and simple manner.
  • Excellent interpersonal and project management skills; ability to work across in-person and virtual team environments.
  • Hands-on technical skills with the inquisitiveness to learn products, work with them, and provide recommendations to drive continuous improvement.
  • Able to work independently yet collaborate cross-functionally in a global and multicultural environment.
  • Able to manage multiple work streams effectively and provide timely updates to leadership.
  • Comfortable and effective working in new areas that require experimentation and rapid problem solving.

Preferred:

  • Experience in one or more machine learning frameworks, such as Tensorflow/Keras, PyTorch, Spark MLlib, or Scikit-Learn.
  • In-depth knowledge of one or more areas of deep learning, such as natural language generation (LLMs, Sentiment Analysis), recommendation systems, or computer vision.
  • Experience in Cloud computing and MLOps, especially tools such as AWS (SageMaker, EMR, Redshift), Azure, Docker, and Airflow.
  • Experience with Microsoft Graph API.

The base pay range for this role is $154,400.00 - $227,750.00 USD 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)

Job -

Data & Information Technology

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.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"

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