Lead Data Scientist

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today's innovators stay Ahead of What's Possible.

Job Title: Lead Data Scientist

Company: Analog Devices, Inc., Software Engineering & Solutions (SES) Division

Location: Boston, MA

Job Type: Full-Time

About Analog Devices, Inc.:

Analog Devices, Inc. is a global leader in the design and manufacturing of analog, mixed-signal, and digital signal processing (DSP) integrated circuits. The Software Engineering & Solutions (SES) Division focuses on designing innovative software solutions that empower Analog Devices' state-of-the-art technology.

About the Role:

We are looking for a Lead Data Scientist with a specialization in large language models (LLMs) to join our team. The successful candidate will be responsible for developing and implementing AI solutions, primarily leveraging LLMs, to enhance our software products and capabilities. This is a unique opportunity to work in a cutting-edge field, making significant contributions to industry-leading technology.

Responsibilities:

• Develop, validate, and implement AI solutions, with a focus on LLMs, to improve our software solutions and capabilities.
• Analyze complex datasets to extract insights, identify trends, and make recommendations for product enhancements.
• Collaborate with engineering and software teams to integrate AI models into our software products.
• Lead data collection efforts to train and refine our AI models.
• Implement tools and processes to monitor the performance and accuracy of our AI models.
• Communicate complex data findings and AI concepts to non-technical stakeholders in clear, understandable language.
• Stay abreast of the latest developments in AI, LLMs, and data science, and integrate these advancements into our work.
• Mentor junior team members and create a positive, collaborative team environment.

Minimum Qualifications:

• Undergraduate degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience as a Data Scientist, preferably with a focus on LLMs and/or in the tech industry.
• Solid understanding of machine learning techniques and algorithms, with a special emphasis on LLMs.
• Proficiency in data science toolkits and libraries such as Python.
• Demonstrated ability to present complex technical information to non-technical stakeholders.
• Ability to work in a collaborative team environment.

Preferred Qualifications:

• Master's degree in a relevant field.
• Experience in the semiconductor industry.
• Publication or contribution to open-source projects in the field of AI or LLMs.

To apply, please submit your resume, a cover letter highlighting your relevant experience, and any supporting documentation or links to relevant projects. We look forward to hearing from you.

Analog Devices, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days