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Description
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 role designs and develops methods processes and systems to consolidate and analyze unstructured diverse big data sources to generate actionable insights and solutions. The role develops programs algorithms and automated processes to cleanse integrate and evaluate large datasets from multiple disparate sources.
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 nontechnical 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 morecomplex development projects.
Identifies and recommends improvement upon existing methodologies by developing new data sources testing model assumptions and finetuning model parameters.
Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
Education & Experience Recommended
Fouryear 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 47 years of work experience preferably in data analytics statistical modeling machine learning or a related field or an advanced degree with 35 years of work experience.
Preferred Certifications
Programming Language/s Certification (SQL Python or similar)
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
Tableau (Business Intelligence Software)
Power Automate
CrossOrg 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.
The base pay range for this role is $ 104 800 up to $149 350 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location jobrelated 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;
412 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave US benefits overview
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time with or without notice subject to applicable law.
Job
Data & Information TechnologySchedule
Full timeShift
No shift premium (United States of America)Travel
NoRelocation
YesEqual 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.
If youd like more information about HPsEEO Policyor your EEO rights as an applicant under the law please click here:Equal Employment Opportunity is the LawEqual Employment Opportunity is the Law Supplement
Full-Time