Data Scientist

Posted Yesterday
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Mentor, OH, USA
Hybrid
78K-116K Annually
Mid level
Logistics
The Role
Partner with IT, Operations, and Engineering to design, build, and deploy data pipelines and analytics for Quality processes. Lead technical projects, translate business requirements into production-ready data solutions, perform data cleaning, modeling, exploratory analysis, and validate statistical and machine learning models; support visualization and training for new digital solutions.
Summary Generated by Built In
Company Description

Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste and mitigate loss, advance sustainability, circularity and transparency and better connect brands and consumers. We design and develop labeling and functional materials, radio-frequency identification (RFID) inlays and tags, software applications that connect the physical and digital and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2025 were $8.9 billion. Learn more at www.averydennison.com.

At Avery Dennison, some of the great benefits we provide are:

  • Health & Wellness benefits starting on day 1 of employment
  • Paid parental leave
  • 401K eligibility
  • Tuition reimbursement
  • Employee Assistance Program eligibility / Health Advocate
  • Paid vacation and Paid holidays

Job Description

Position Status: On-site/Hybrid based in Mentor, OH

  • Internal Collaboration & Cross-Functional Partnership: Partner with IT, Operations, and Engineering to learn the system architecture enabling Quality processes and identify key pain points with fragmented data and systems.

  • Project Technical Leadership: Work closely with a project manager to align on milestones and objectives, developing, deploying, and maintaining data-driven applications and services aligned with a strategic digital roadmap.

  • IT Engagement & Requirements Translation: Translate Quality business requirements into clear technical specifications, directing relevant IT teams and resources to develop and deploy production-ready data pipelines.

  • Data Collection, Cleaning & Modeling: Formulate data gathering methodologies, write SQL queries, and define data assets, models, and pipelines to clean, manipulate, and organize data for robust analytics and future AI deployments.

  • Exploratory Data Analysis, Testing & Validation: Use statistical techniques and visualization tools to discover patterns and insights, rigorously test models to ensure high-quality outputs, and support training on new digital solutions.

Qualifications

  • Education: Bachelor’s or Master’s degree (preferred) in computer science, software engineering, business analytics, applied mathematics, statistics, machine learning, or a data-centric discipline.

  • Experience: 4+ years of relevant industry experience in advanced analytics and software development.

  • Technical Proficiency: Strong skills in multiple programming languages including Python, SQL, Javascript, HTML, and CSS, with experience writing complex queries and optimizing relational database performance.

  • Analytical Skills: Advanced analytics expertise in descriptive statistical modeling, machine learning algorithms, predictive analytics, and data visualization tools like Matplotlib, Tableau, Cognos, or Graphana.

  • Systems Knowledge: Familiarity with cloud data ecosystems (GCP, AWS, Azure), workflow automation, Oracle ERP/Analytics business data reporting, or manufacturing execution systems (MES/SCADA/historian databases).

The salary range for this position is $77,775 - $116,144 / year. The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate’s relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.

#LI-Hybrid

Additional Information

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or other protected status. EEOE/M/F/Vet/Disabled. All your information will be kept confidential according to EEO guidelines.

As part of our commitment to maintaining a safe and productive work environment, Avery Dennison requires all final candidates to successfully complete a comprehensive background check and a drug screening. These checks are conducted post-offer and are a condition of employment. All results will be considered in accordance with applicable local, state, and federal laws. 

Reasonable Accommodations Notice

If you require accommodations to view or apply for a job, alternative methods are available to submit an application. Please contact (440) 534-6000 or [email protected] to discuss reasonable accommodations.

Skills Required

  • Bachelor's degree in computer science, software engineering, business analytics, applied mathematics, statistics, machine learning, or related data discipline
  • Master's degree in a related data discipline
  • 4+ years relevant industry experience in advanced analytics and software development
  • Proficiency in Python
  • Proficiency in SQL and experience writing complex queries and optimizing relational database performance
  • Proficiency in Javascript, HTML, and CSS
  • Experience with statistical modeling, machine learning algorithms, and predictive analytics
  • Experience with data visualization tools (Matplotlib, Tableau, Cognos, Graphana)
  • Familiarity with cloud data ecosystems (GCP, AWS, Azure), workflow automation, Oracle ERP/Analytics reporting, and MES/SCADA/historian databases
  • Ability to lead technical projects, collaborate cross-functionally, and translate business requirements into technical specifications
  • Successful completion of background check and drug screening as a condition of employment

Avery Dennison Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Avery Dennison and has not been reviewed or approved by Avery Dennison.

  • Healthcare Strength Pay and benefits are frequently characterized as decent or good, supported by multiple medical plan options alongside dental, vision, and mental health coverage. Company-paid basic life insurance and short-term disability coverage add to the perceived strength of core protection benefits.
  • Retirement Support Retirement support is strengthened by an automatic employer contribution plus an additional employer match tied to employee contributions. The availability of an employee stock purchase plan further broadens long-term savings options beyond the 401(k).
  • Parental & Family Support Family-related support is reinforced through parental leave and dedicated adoption and fertility assistance with a stated benefit amount. Domestic partner eligibility and LGBTQIA+ healthcare support features expand coverage for different family structures.

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The Company
HQ: Glendale, CA
16,564 Employees

What We Do

Avery Dennison (NYSE: AVY) is a global materials science company specializing in the design and manufacture of a wide variety of labeling and functional materials. The company’s products, which are used in nearly every major industry, include pressure-sensitive materials for labels and graphic applications; tapes and other bonding solutions for industrial, medical, and retail applications; tags, labels and embellishments for apparel; and radio frequency identification (RFID) solutions serving retail apparel and other markets. Headquartered in Glendale, California, the company employs more than 30,000 employees in more than 50 countries. Reported sales in 2020 were $7.0 billion.

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