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Job Summary
This role is responsible for data collection procedures including accurate and relevant data for machine learning models extracting and analyzing data from the primary and secondary database for the Amplify Online Program WW across Commercial Retail and Distribution. The role conceptualizes designs and develops analytics models in addressing complex business problems discovering insights and identifying opportunities that are of value to internal and external business stakeholders typically using a hypothesisdriven approach. The role implements data quality checks validation and data governance processes to ensure accuracy completeness and reliability of data.
Responsibilities
Designs limited enhancements updates and programming changes for portions and subsystems of data pipelines repositories or models for structured/unstructured data.
Analyzes design and determines coding programming and integration activities required based on specific objectives and established project guidelines.
Executes and writes portions of testing plans protocols and documentation for assigned portion of application; identifies and debugs issues with code and suggests changes or improvements.
Participates as a member of a project team of other data science professionals to develop reliable cost effective and highquality solutions for assigned data system model or component.
Collaborates and communicates with project team regarding project progress and issue resolution.
Works with business stakeholders to identify business problems opportunities and/or initiatives for which analytics models may provide insights that can contribute to or drive the development of an approach.
Collaborates with subject matter experts to select relevant sources of information translates business requirements into semantic access conceptual logical and/or physical data models.
Translates data into information and insights with clear scenario analysis and business impact and plan to drive impact.
Models and frames business scenarios that are meaningful and impact critical business processes and/or decisions.
Performs quantification and impact analysis of existing or proposed operational policies procedures and governance frameworks.
Education & Experience Recommended
Fouryear or Graduate Degree in Computer Science Information Technology Software Engineering Statistics/ Mathematics or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 24 years of work experience preferably in data analytics data engineering data modeling or a related field or an advanced degree with little or no work experience.
Preferred Certifications
Programming Language/s Certification (SQL Python or similar)
Knowledge & Skills
Agile Methodology
Amazon Web Services
Databricks
Apache Hadoop
Apache Kafka
Apache Spark
Big Data
Computer Science
Data Analysis
Data Engineering
Data Modeling
Data Pipelines
Data Warehousing
Extract Transform Load (ETL)
Machine Learning
Microsoft Azure
Python (Programming Language)
Power BI
Scala (Programming Language)
Scalability
SQL (Programming Language)
CrossOrg Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity
What we offer:
Sales and Services Entity (ES11
Job
Data & Information TechnologySchedule
Full timeShift
No shift premium (Spain)Travel
NoRelocation
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).
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
Required Experience:
Exec
Full-Time