HP
Data Scientist
US | $0K - $0K
Qualifications
- Conduct A/B testing and experimentation
- 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
- 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
- Experience in Cloud computing and MLOps, especially tools such as AWS (SageMaker, EMR, Redshift), Azure (Azure Services, Azure Machine Learning and Azure prompt flow), Docker, and Airflow
- Experience with Microsoft Graph API
- Education and Experience: Master’s degree or PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, Physics, etc.).4+ years of industry experience in predictive modelling and data science roles
Responsibilities
- You will be expected to be hands-on and routinely exercise independent judgment in your delivery of new Data Science / Machine Learning products.Responsibilities: Work closely with product management to understand product vision and user engagement strategy for the HPWS Digital Services 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
- Influence decision making and problem solving across teams
- Create stories and visualizations to describe and communicate data insights in a clean and simple manner
Company information
