Avery Dennison

3 weeks ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Partner with IT, Operations, and Engineering to understand quality system architecture and pain points from fragmented data and systems. Lead technical delivery by working with a project manager to build, deploy, and maintain data-driven applications aligned to a digital roadmap. Translate quality requirements into technical specifications for production-ready data pipelines, then perform data collection, cleaning, modeling, and exploratory analysis. Validate models with rigorous testing and support training for new digital solutions.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Partner with IT, Operations, and Engineering to learn quality system architecture and identify pain points from fragmented data and systems.
•Work with a project manager to align on milestones and develop, deploy, and maintain data-driven applications and services.
•Translate quality business requirements into clear technical specifications and direct IT teams to build and deploy production-ready data pipelines.
•Formulate data collection methodologies, write SQL queries, and define data assets, models, and pipelines to clean and organize data for analytics and AI deployments.
•Use statistical techniques and visualization tools for exploratory data analysis, test and validate models, and support training on new digital solutions.

Pay and Benefits

Salary: USD 77,775 - 116,144 annually

Perks:Paid Leave401kHealth InsurancePaid Holidays

Key Requirements

•Bachelor’s or Master’s degree (preferred) in computer science, software engineering, business analytics, applied mathematics, statistics, machine learning, or a data-centric discipline.
•4+ years of relevant industry experience in advanced analytics and software development.
•Strong skills in Python and SQL, with experience writing complex queries and optimizing relational database performance.
•Advanced analytics skills including descriptive statistical modeling, machine learning algorithms, predictive analytics, and data visualization (e.g., Matplotlib, Tableau, Cognos, Graphana).
•Familiarity with cloud data ecosystems (GCP, AWS, Azure) and related systems such as workflow automation, Oracle ERP/Analytics, or MES/SCADA/historian databases.

Experience:4+ years

Education:Bachelor's

Skills:Cross-functional collaborationRequirements translationTechnical leadershipData analysisModel validation

Languages:English

Tech Stack:PythonSQLJavascriptHTMLCSSMatplotlibTableauCognosGraphanaGCPAWSAzureOracle ERPMESSCADAHistorian databasesWorkflow automationRelational database

Company Brief

Avery Dennison

Industry: Printing & Packaging

Website

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Avery Dennison

3 weeks ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Partner with IT, Operations, and Engineering to learn quality system architecture and identify pain points from fragmented data and systems.
•Work with a project manager to align on milestones and develop, deploy, and maintain data-driven applications and services.
•Translate quality business requirements into clear technical specifications and direct IT teams to build and deploy production-ready data pipelines.
•Formulate data collection methodologies, write SQL queries, and define data assets, models, and pipelines to clean and organize data for analytics and AI deployments.
•Use statistical techniques and visualization tools for exploratory data analysis, test and validate models, and support training on new digital solutions.

Pay and Benefits

Salary: USD 77,775 - 116,144 annually

Perks:Paid Leave401kHealth InsurancePaid Holidays

Key Requirements

•Bachelor’s or Master’s degree (preferred) in computer science, software engineering, business analytics, applied mathematics, statistics, machine learning, or a data-centric discipline.
•4+ years of relevant industry experience in advanced analytics and software development.
•Strong skills in Python and SQL, with experience writing complex queries and optimizing relational database performance.
•Advanced analytics skills including descriptive statistical modeling, machine learning algorithms, predictive analytics, and data visualization (e.g., Matplotlib, Tableau, Cognos, Graphana).
•Familiarity with cloud data ecosystems (GCP, AWS, Azure) and related systems such as workflow automation, Oracle ERP/Analytics, or MES/SCADA/historian databases.

Experience:4+ years

Education:Bachelor's

Skills:Cross-functional collaborationRequirements translationTechnical leadershipData analysisModel validation

Languages:English

Tech Stack:PythonSQLJavascriptHTMLCSSMatplotlibTableauCognosGraphanaGCPAWSAzureOracle ERPMESSCADAHistorian databasesWorkflow automationRelational database

Company Brief

Avery Dennison

Industry: Printing & Packaging

Website