Staff Engineer, Data Analytics Engineering

Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES:

1. Develop and Implement AI-Powered Applications

• • Develop and implement LLM-driven applications tailored to business needs, including chatbots, summarization tools, document analysis.
  • Lead the application of LLMs in creating solutions that improve efficiency and user experience, from prototype to production deployment.

1. Data Processing and Analysis:

• • Implement algorithms to process and analyze large datasets to identify trends, anomalies, and efficiency opportunities.
  • Develop machine learning models to improve product yield and optimize manufacturing processes.

1. Collaboration and Continuous Improvement:

• • Work closely with manufacturing engineers to understand their data needs and provide technical solutions.
  • Continuously explore new technologies and methodologies to improve existing systems and processes.

1. Data Visualization:

• • Visualize key manufacturing metrics and insights using spotfire

1. Research and Innovation

• • Stay updated with the latest advancements in LLMs, incorporating new techniques to enhance existing models and applications.
  • Lead R&D initiatives, exploring new ways to apply LLMs to address unique challenges and drive competitive advantage.

1. Cross-functional Team Work:

• • Collaborate with IT and AI experts to integrate software solutions into the broader company ecosystem.
  • Participate in cross-functional teams to support broader organizational goals.

Qualifications

Required:

1. Bachelor's/master’s degree in computer science/Engineering, data science or related field
2. 6-8++ years of experience in software development
3. Experience in programming language (python, R) and database (SQL) to perform data mining and analysis.
4. Knowledge in machine learning techniques (LLM, neural network, machine learning)
5. Knowledge of statistical techniques in data science (regression, properties of distribution)
6. Strong analytic skills and problem-solving skills.

Preferred:

• Bachelor's/Master’s degree in Computer Science/Engineering, data science or related field
• 4-8 years of experience in software development 
• Experience in programming language (python, R) and database (SQL) to perform data mining and analysis.
• Knowledge of statistical techniques in data science (regression, properties of distribution)
• Knowledge in machine learning techniques (neural network, machine learning)

Skills:

• Python
• Tibco SPOTFIRE
• Advance Microsoft Excel
• Familiar with Hugging face
• data science background
• Passion in research and path finding.
• Excellent communication and collaboration skills

Additional Information

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@sandisk.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

NOTICE TO CANDIDATES: Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email compliance@sandisk.com.