Principal Data Scientist (US-Remote)
HP Inc.
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 $137,000 to $211,000 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 (https://www8.hp.com/h20195/v2/getdocument.aspx?docname=c07065756) )
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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