Data Scientist

WHAT WE’RE ABOUT:

POSITION SUMMARY:
Our Redmond-based client is looking for a Data Scientist for an Onsite based position in Silicon Valley, CA.

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.

Qualifications:

• Must have minimum 5+ years’ experience in data science or analytics, with a focus on manufacturing or product engineering.
• Must have minimum 5+ years’ experience with proficiency in Python, R, SQL, and data visualization tools (JMP, Power BI).
• Must have minimum 5+ years’ experience with strong expertise in statistical analysis, process control methodologies, and data integration tools.
• Should have ability to translate complex data insights into actionable recommendations, excellent communication skills.
• Should have expertise in statistical analysis, process control, and engineering practices is essential for optimizing product quality and efficiency.

WHAT WE HAVE TO OFFER:

Because we know how important our people are to the success of our clients, it’s a priority to make sure we stay committed to our employees and making Beyondsoft a great place to work. We take pride in offering competitive compensation and benefits along with a company culture that embodies continuous learning, growth, and training with a dedicated focus on employee satisfaction and work/life balance.

• A competitive pay range of $75/hr- $77/hr (depending on experience).
• 15 days per year of Paid Time Off (PTO).
• 9 paid holidays per year (which includes 1 personal floating holiday).
• 401(k) retirement plan with company match.
• Eligible employees (and their families) are offered the following company-sponsored benefits: Medical, dental, and vision insurance, health savings account (HSA), short-term and long-term disability, employee assistance plan (EAP), and basic life and AD&D insurance.
• Eligible employees (and their families) are offered the following voluntary employee-funded benefits: Health care flexible spending account, dependent care flexible spending account, commuter benefits, voluntary accident & critical injury coverage, voluntary long-term care coverage, and voluntary life and AD&D insurance.