Data Scientist

Overview

Placement Type : Temporary

Temporary

Salary (USD) : $ to $ an hour

$ to $ an hour

Start Date : Responsibilities :

Responsibilities :

• Product Analytics Management : Oversee all product analytics, including data collection and reporting.
• Leverage data insights to enhance product quality, performance, and customer satisfaction.
• Station Greenlight and Release Processes : Participate in station greenlight and release plans, providing data-driven recommendations.
• Collaborate with cross-functional teams to ensure quality and performance standards are met prior to release.
• Process Control and Engineering Metrics : Develop CPK and PPK process control monitors for each tester, ensuring alignment with engineering standards.
• Record and track tester performance, identifying trends and areas for improvement.
• Integration of Testing in Factory Flow : Lead integration of test stations into factory workflows, optimizing production and mapping testing to requirements.
• Oversee yield and error reporting, providing insights to enhance production efficiency.
• Data Vetting and Integration : Manage the IPMR data vetting process to ensure data accuracy and integration into relevant systems for real-time decision-making.
• CTx Measurement Mapping and Traceability : Develop CTx measurement mapping for tracking key performance indicators throughout the product lifecycle.
• Data Governance and Quality Assurance : Establish data governance standards, ensuring accuracy and integrity across analytics processes
• Collaboration and Communication : Work closely with engineering, quality, and production teams to align data strategies with organizational goals.

Present findings to senior leadership, translating complex data into actionable insights.

Continuous Improvement : Identify opportunities for process optimization within the analytics framework.Stay current with emerging data science technologies to enhance decision-making capabilities.

Requirements :

• 5+ overall years of experience in the field.
• Bachelors degree in Data Science, Statistics, Computer Science, or a related field is required to be eligible for this role.

The target hiring compensation range for this role is $ to $ an hour. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.

About Aquent Talent :

Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match.

We also offer free online training through . More information on our awesome !

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

We’re about creating an inclusive environment one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.