Job Summary

• This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance. The individual is supposed to derive insights from telemetry generated by firmware, cloud, app etc. and should be passionate about the software, cloud and networking systems.

Responsibilities

• Oversees data mining using modern tools and programming languages.

• Develops predictive and prescriptive models of moderate complexity to surface insights; drives action, defines success measures and tracks performance of models.

• Drives the implementation of models to uncover patterns and predictions creating business value and innovation.

• Partners with data engineering teams across multiple business lines to build data pipelines, improve data assets, quality, metrics, and insights.

• Creates visualizations and other forms of communication that effectively showcase insights and findings to both technical and non-technical audiences.

• Leads a project team of data science professionals and provides guidance, training and mentoring to less experienced staff members.

• Collaborates and communicates with project team regarding project progress and issue resolution.

• Represents the data science team for all phases of larger and more-complex development projects.

• Identifies and recommends improvement upon existing methodologies by developing new data sources, testing model assumptions, and fine-tuning model parameters.

• Maintains proficiency within the data science domain by keeping up with technology and trend shifts.

Education & Experience Recommended

• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.

• Typically has 4-7 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with 3-5 years of work experience.

Knowledge & Skills

• Algorithms

• Amazon Web Services

• Apache Spark

• Artificial Intelligence

• Big Data

• Computer Science

• Data Analysis

• Data Mining

• Data Science

• Data Visualization

• Deep Learning

• Machine Learning

• Natural Language Processing

• Predictive Modeling

• Python (Programming Language)

• R (Programming Language)

• SQL (Programming Language)

• Statistical Modeling

• Statistics

• Looker (Business Intelligence Software)

Cross-Org Skills

• Effective Communication

• Results Orientation

• Learning Agility

• Digital Fluency

• Customer Centricity

Impact & Scope

• Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.

Complexity

• Responds to moderately complex issues within established guidelines.

Disclaimer

• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

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).