Director, Data Science R&D

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

In Lam’s Computational Products group, we build compelling software products to solve semiconductor technology challenges. Our leading 3D modeling software is revolutionizing the way that semiconductor chips are fabricated around the world, and is enhancing the value of Lam’s semiconductor process equipment. Computational Products is a successful, agile software organization with a culture of engineering excellence and strong relationships. Our software products are envisioned and created by world-class engineers in many disciplines: software engineering, numerical physics, data science, electrical engineering, quality assurance and development operations.

As Data Science Director, you will play an essential leadership role in improving our software products through data science. You will use your experience in data science and management to guide the group to success, reinforcing a culture of strong engineering process, collaboration, and focus on objectives. Your passion for data science will inspire and motivate the team as you mentor the existing staff and scale the team up. You will collaborate closely with program stakeholders to identify opportunities for data science, define deliverables, and steer the team to successful completion of their objectives.

• Enhance the capabilities of our software products through ideation, evaluation and productization of data science algorithms
• Recruit, mentor, and inspire an exceptional team of talented data science professionals
• Establish strong engineering practices and standards for evaluation and validation of data science algorithms
• Plan and track engineering work to ensure predictable progress to deliverables
• Build and maintain trusted relationships with data science stakeholders across the organization, aligning goals and surfacing new product needs or ideas
• Contribute to growth of the data science culture across the broader Lam Research organization

Minimum Qualifications

• PhD (or equivalent experience) in data science, machine learning, data analytics, or a similar discipline.
• Minimum 8 years of professional experience in hands-on, highly technical data science work
• Minimum 5 years of experience managing a highly technical team of data scientists
• Broad knowledge of data science algorithms, and understanding of where/how to apply them
• Strong knowledge of one or more data science programming languages (Python preferred, R or Matlab also acceptable)
• Passionate about data algorithms and technology, with a focus on algorithm development for software products
• Excellent personal organization, ability to prioritize and effectively drive projects to successful completion
• Demonstrated ability to lead a team to successful completion of challenging technical goals
• Ability to communicate crisply at appropriate technical level both up and down the org chart

Preferred Qualifications

• Software engineering processes, particularly agile
• Local and global optimization algorithms, particularly for large spaces
• Hybrid data science/physics models
• Data science techniques for “small” data environments (Bayesian algorithms, Gaussian process, ensemble models, transfer learning, etc)
• Any knowledge of, or experience in, the semiconductor industry is a bonus but is not required

Our Commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.