HP
Technology
CustomerSuccess&DataInsightsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Customer Success & Data Insights Engineer at HP. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Investigate data science projects. Design data science projects”
Industry & Context.
What They're Looking For.
Must Have
Minimum 2 years of relevant work experience, Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or related discipline or commensurate work experience, SQL, Python, or similar programming language certification
Nice to Have
Advanced degree with little or no work experience
What You'll Do.
Investigate data science projects
Design data science projects
Develop data science projects
Execute data science projects
Implement data science projects
Generate new insights
Generate new products
Generate new technologies
Generate intellectual property
Perform data collection
Execute data analysis procedures
Create data insight visualizations
Collaborate with partners
Assist with literature
Assist with presentations
Create patent applications
Develop mathematical models
Perform experimentation
Support data-driven apps
Translate data into intelligence
Participate in data quality governance framework design
Optimize data quality governance framework
Extract complex data sets
Clean complex data sets
Analyze complex data sets
Work independently on problems
Apply professional expertise
How You'll Work.
Team & Collaboration
Member of data science team; Collaborate with internal partners; Collaborate with external partners; Communicate findings to team members
Communication Scope
Effective Communication
Process & Methodology
Agile Methodology
Full Job Description
Customer Success & Data Insights Engineer **Description -** The Customer Success & Data Insights Engineer is responsible for collecting, analyzing, interpreting, and presenting data to support decision-making and provide insights to the organization. The role applies statistical and analytical methods to explore data, identify trends, patterns, and anomalies, and extract actionable insights. The role helps organization make data-driven decisions, optimize processes, and achieve their strategic objectives. The role provides strategic recommendations to senior management based on data insights. **What a Customer Success & Data Insights Engineer does at HP:** * Participates as a member of team of other data science engineers carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property. * In accordance with plan, performs/executes data collection and analysis procedures and data insight visualizations for assigned projects. * Collaborates with internal and external partners to perform experiments and validations in accordance with overall plan. * Collects, records, and analyzes data using established protocols and processes; communicates findings to other team members for review and feedback. * Assists in literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation. * Utilizes scientific design and data collection methodologies, tools and analysis packages to collect, validate, and analyze research data. * Develops algorithms and mathematical models, performs experimentation, and supports data-driven apps to translate data into intelligence. * Participates in the data quality governance framework design and optimization, including process, standards, rules, etc. * Utilizes advanced analytical techniques to extract, clean, and analyz
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