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Jobs or company...

Data Scientist 3

Salary undisclosed

Apply on

Dice
Original
Simplified

We are looking for a Data Scientist to join our team in a high visibility and impact role. The successful candidate will manage product analytics, oversee data collection and reporting, and enhance product quality and performance. Key responsibilities include collaborating on release processes, developing process control monitors, and integrating testing into factory workflows.

The Data Scientist will also establish data governance standards and work closely with engineering and production teams to align data strategies with organizational goals. If you are passionate about leveraging data for continuous improvement, we encourage you to apply!

Job 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.

Typical Day in the Role:

  • Purpose of the Team: The purpose of this team is working with the Mixed Reality Product Analytics team, which develops data collection and processing systems to improve the product capabilities.
  • Key projects: They will drive data-driven decision-making across product analytics and engineering processes. This individual will manage product analytics, develop key performance metrics, and ensure seamless integration of data systems and tools.
  • Typical task breakdown and operating rhythm: The role will consist of: 15% Meetings, 20% reporting, 65% heads down work.

Candidate Requirements:

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

Top 3 Hard Skills Required + Years of Experience:

1. Minimum 5+ years experience in data science or analytics, with a focus on manufacturing or product engineering.

2. Minimum 5+ years experience with proficiency in Python, R, SQL, and data visualization tools (JMP, Power BI).

3. Minimum 5+ years experience with strong expertise in statistical analysis, process control methodologies, and data integration tools.

No 3rd party agencies or C2C

Type: Contract

Work Schedule: 100% Onsite

Duration: 6 months, with a chance of extension

Hourly Rate Range: $75-90/h

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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