Spring, TX, 77380, USA
173 days ago
Principal Data Scientist (US-Remote)
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.
Confirm your E-mail: Send Email