Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure and connect.

Principal Job Responsibilities:

This position is also known as Senior Data Scientist. Lead data science projects and tasks that may include predictive analytics, machine learning, and natural language processing. Apply a wide array of advanced data mining techniques (including supervised and unsupervised methods, dimension reduction methods, and social network analysis methods) in support of research and operational analytic projects. Work extensively in Python. Mentor entry-level data scientists. Take ownership of projects and collaborate with a dynamic team to think entrepreneurially and leverage new opportunities where machine learning and computational techniques can be applied to improve sales, marketing, and business results. Build and deploy models to generate immediate business value and revenue in different areas – including digital platforms, online product recommender systems, AI-enabled sales, demand signaling, product development, market research, customer identification, search engine marketing, digital advertising, customer experience – and continuously improve and optimize. Write programs in Python to extract, clean, and format data and to create variables for use in analysis. Build dashboards on different BI tools based on user cases provided by stakeholders. Use SQL and NoSQL to manage large structured and unstructured data sources and designing custom data models and algorithms to apply to data sets.

Qualifications

Master’s degree or higher (or foreign educational equivalent) in Data Science, Data Analytics, Business Analytics, Information Systems Management, or relevant technical discipline, plus 1 year of (industry, academic, and/or research) experience, gained at any time, which must have involved: providing programming support to data science projects and tasks that may include data visualization, predictive analysis, machine learning, and natural language processing; applying a wide array of advanced data mining techniques (including supervised and unsupervised methods, dimension reduction methods, and social network analysis methods) in support of research and operational analytic projects; working with Web Developers to build intelligence into customer-facing and internal smart applications; constructing datasets and preparing data files from various sources; interpreting data outputs and article findings; and assessing the effectiveness and accuracy of new data sources and data gathering techniques. Must have solid oral, written, and presentation communication skills to efficiently communicate across a global organization where success is highly dependent on collaboration and effective communication. May work from home 2 days per week.

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, Inc. is an Equal Opportunity Employer Minorities / Females / Vet / Disability.

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

Education Level: Master's Degree
Travel Required: No