Data Scientist
Mentor, OH - USA
Job Summary
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: Bachelors or Masters 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 $77775 - $116144 / 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 candidates 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 or to discuss reasonable accommodations.
Remote Work :
No
Employment Type :
Full-time
About Company
Avery Dennison is a materials science and manufacturing company specialized in the design and manufacture of a wide variety of labeling and functional materials. Our expertise and global scale enable us to deliver innovative, sustainable and intelligent solutions to customers all over ... View more