Senior Analysis Data Scientist
Come join Analog Devices (ADI) – a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare.
ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future.
ADI At A Glance
Analog Devices operates at the center of the modern digital economy, converting real-world phenomena into actionable insight with its comprehensive suite of analog and mixed signal, power management, radio frequency (RF), and digital and sensor technologies. ADI serves 125,000 customers worldwide with more than 75,000 products in the industrial, communications, automotive, and consumer markets. ADI is headquartered in Wilmington, MA. Visit http://www.analog.com.
Analog Devices is committed to investing in our people and their growth. One way we can do this is by establishing a cutting-edge Entry Level Hiring program. This program features high impact professional development, opportunities to drive meaningful projects that are directly tied to business goals, and unique executive exposure. Our duty is to develop the next generation of talent in our communities and provide them with a pathway to apply their academic skills in the real-world. At ADI, our early career hires will learn from the brightest minds who are dedicated to their growth, development, and success. From an industry perspective, incoming new career hires are surrounded by employees that represent the best of the best minds in their respective fields. Apply now for the opportunity to grow your career and help innovate ahead of what’s possible!
The Advanced Analytics team is seeking a motivated early-career Ph.D. level Data Scientist at ADI’s San Jose site. The group focuses on the rapid development of analytics, software, and decision-making systems across the enterprise. The team leverages innovative data analysis techniques, a system analysis perspective, and domain/process knowledge to drive corporate value and aid the executive team. Close relationships with internal business partners and engineering teams enable growth and profitability, enhanced efficiency, and effective data-driven decision-making. Specialists on the team may focus on statistics, machine-learning/AI, software architecture, econometrics, optimization, and other business areas.
Responsibilities include, but not limited to:
- Contribute to the development/deployment of new analytics products and strategies supporting the enterprise
- Develop product, business, and process models, and identify/leverage new data sources
- Build and deploy predictive and descriptive models, learning algorithms and data mining tools to improve insights, enhance data-driven business strategies and increase profitability
- Effectively communicate and translate results to ADI leadership and business unit teams
- Grow to be a cross-enterprise expert in data, processes, and decision-making, driving architecture and design to support modern data science and software development
- Serve as an internal consultant/expert in statistics, machine-learning, optimization, etc.
Minimum qualifications
- Minimum education: Ph.D. in Engineering, Physics, Statistics, Computer Science, Econometrics, or other quantitative discipline
- Experience in developing prediction algorithms, solutions to prescriptive analytics problems, data mining techniques and/or econometric models
- Experience building machine learning systems to solve customer-focused problems
- Expertise in leveraging statistical methods and applying them to real-world business problems
- Demonstrated expertise using Python is required, and knowledge of R and/or C++ is a plus
- Ability to rapidly prototype analytic solutions and algorithms, and visualize/present results clearly
- Experience with NumPy, pandas, scikit-learn, PyTorch or TensorFlow, Linux, and software optimization
- Excellent written and verbal communication skills
Preferred qualifications
- Strong interest in business analytics/operations and how data science can be used to drive value
- Experience in developing and deploying optimal risk-based decision tools
- A high level of analytical rigor and an ability to sift through significant amounts of information to enable the development/deployment of effective analytic solutions
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: Graduate Job
Required Travel: Yes, 10% of the time
The wage range for a new hire into this position is $111,320 to $153,065.
- Actual wage offered may vary depending on geography, experience, education, training, external market data, internal equity, or other bona fide factors.
- This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
- This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.