Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Join our Intel Fab Construction Enterprise (FCE) who builds the world's largest semiconductor manufacturing factories across the globe. The future is what we build.

Our enterprise manages a portfolio of capital projects on-site with a large contractor workforce that encompasses outsourced general contractors, A/E Architecture and Engineering firms and key trade companies in the Semiconductor Construction Industry. The scope of our work includes but is not limited to Progressive Build, tool install and new factories and site infrastructure. We are looking for world class diverse technical talent to join our team. If you enjoy working with the latest technology in a rewarding, fast-paced environment, this is the right place for you. Everywhere you go, you'll find an opportunity to make a difference. In any given workday, you will be given responsibility to innovate and create an impact to our business.

We are looking for world-class diverse technical talent to join our team. If you enjoy working with the latest technology in a rewarding, fast-paced environment, this is the right place for you. Everywhere you go, you'll find an opportunity to make a difference. In any given workday, you will be given the responsibility to innovate and create an impact on our business.

As a Data Scientist your responsibilities will include but are not limited to:

• Design and implement robust, scalable data infrastructure solutions which enable the expertise to compile and translate data into information and enable business strategies, improve operations, or otherwise unlock business value.
• Build robust data optimization and machine learning models for solving complex business problems.
• 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 FCE digital transformation needs.
• Develop and implement software and data quality standards as part of FCE's systems and data pipeline architecture.
• Manage interdependencies and integration among multiple technical projects and teams, to define and transform current data processes across our FCE business domains.
• Create and maintain optimal, scalable architecture, including building out new 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 stakeholders including analytics and business teams to execute against data and analytics needs across FCE's construction 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 within FCE.
• 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 distribute

Qualifications

• You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Position not eligible for Intel immigration sponsorship.

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 within FCE.
• 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.