8 days old

Data Scientist

Intel
Hillsboro, OR 97123
  • Job Code
    JR0222327
  • Jobs Rated
    1st
Job Description
  • Design and implement robust, scalable data solutions which enable the expertise to compile and translate data into information and enable business strategies, enable quality data and unlock business value.

  • Responsible for architecting designs and implementation of a data product line for the overall business, data, and analytics needs.

  • Influence technical direction for solutions related to our Digital Transformation strategy.

  • Set and refine technical objectives for developing capabilities to rapidly implement against Corporate Services digital transformation needs.

  • Develop and implement software and data quality standards.

  • Manage interdependencies and integration among multiple technical projects and teams, to define and transform current data processes.

  • Create and maintain optimal, scalable architecture, including building API integrations to support continuing increases in data volume and complexity.

  • Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources using SQL and Azure Cloud (Azure) technologies.

  • Build data tools and capabilities for analytics and data scientist team members that utilize the data pipeline for building and optimizing our solutions to deliver construction analytics, including training.

  • Build advanced analytics data models used for optimizing business solutions, including machine learning models and algorithms

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

  • Assemble large, complex data sets that meet functional / non-functional business requirements.

  • Work with internal IT partners, stakeholders including analytics and business teams to execute against data and analytics needs across corporate services projects, including assisting with system-related technical issues and support their data infrastructure needs.

  • Engage with business users on analytics and data problems, assist with inferences and observations to further understand business needs/value and develop analytics requirements and solutions.

  • Develop software, algorithms, and applications to apply mathematics to data, build data driven apps to translate data into intelligence, solve a variety of operational business problems and enable insights to drive business strategy.

  • Build break through analytics solutions, which provide descriptive, diagnostic, predictive, or prescriptive models based on data. Uses /develops machine-learning algorithms to solve applied problems in various disciplines such as Data Analytics, Computer Vision, Robotics, etc.

  • Partner with advanced data and analytics engineers to operationalize AI/ML solutions to address day to day business problems. Completes programming, testing, debugging, documentation and/or deployment of the solution/products.

The successful candidate should exhibit the following behavioral traits:

  • Technical leadership skills for architecting and designing end-to-end data pipelines for delivering analytics solutions.

  • Passion for technology and software, with a focus on data and analytics.

  • Communication, both oral and written, and influencing skills.

  • Stakeholder management skills.

  • Skills to work in ambiguous environments with teams of highly skilled individuals.

  • Skills to gather requirements for complex processes and organize them in a clear and concise manner.

  • Interpersonal and leadership skills.

  • Energizing, results oriented, problem solving and multi-tasking skills.

  • Work in a collaborative, multidisciplinary, matrix structured, and customer focused environment.

  • Passion for understanding the expectation of customers.

  • Thrive in a rapidly evolving, globally distributed organization.


Qualifications

Minimum Qualifications:
The candidate must have at least one of the following:

  • Bachelor's degree in Computer Science, Mathematics/Statistics, Data Science, or equivalent Business degree with Data Science/Analytics focus and 6+ years of experience in applying software engineering/data engineering/machine learning or statistical methods to extract insight from large scale data.

  • Master's degree in Computer Science, Mathematics/Statistics, Data Science, or equivalent Business degree with Data Science/Analytics focus and 4+ years of experience in applying software engineering/data engineering/machine learning or statistical methods to extract insight from large scale data.

Preferred Qualifications:

  • Technical leadership skills for architecting and designing end-to-end data pipelines for delivering analytics solutions

  • Skills to Extract, Transform, Load (ETL) varying types of data, including blending/wrangling from multiple, disparate sources for enabling data consumption from business users.

  • Programming skills developing simulations, robotic software.

Experience in:

  • Azure data and analytic services, including Azure Data Factory, AI/ML tools like Azure ML; including creation of business-level data models and creating visualizations for generating business insights.

  • Analytics packages like R, JMP.

  • Scripting and programming languages like Python, Perl, Java, C/C#/C++.

  • Relational databases like SQL Server and PostgreSQL.

  • Providing technical support and requisite tools training for data analytics at scale. Active engagement in communities to promote adoption of advanced analytics.

  • Maintaining technical competency in emerging data analytics skills and tools and develop /drive POCs to validate (Cloud based Analytics solutions, Structured and Unstructured data tools), Analytics packages, scripting languages, Big Data technologies.

Inside this Business Group

Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.



Other Locations

US, Arizona, Phoenix;US, California, Santa Clara;US, Georgia, Atlanta;US, New Mexico, Albuquerque


Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.



Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.



Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.

Jobs Rated Reports for Data Scientist

Posted: 2022-05-11 Expires: 2022-06-11

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Data Scientist

Intel
Hillsboro, OR 97123

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