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
- 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"
