Data Scientist (Service)

GE Healthcare - Salt Lake City, UT

Full-time - Mid Level

Salt Lake City, UT

Chemical Manufacturing

About the position

The Data Engineer will be responsible for designing, developing, preparing, testing, and implementing data pipeline processes to generate machine learning models, analytical tools, and reporting solutions for the surgical imaging business. This individual will be tasked with unlocking value from the central data lake and will have a fundamental understanding of data characteristics and data flow within end-to-end business processes. GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. In this role, you will collaborate with internal data teams to build predictive analytics, artificial intelligence, and machine learning models utilizing field service and equipment data to improve business efficiency. You will work closely with project managers and data experts from various teams to develop end-user services using AWS native technologies. Your knowledge of data science, artificial intelligence, machine learning, statistical modeling, best practices, and programming will be essential to deliver analytic features on AWS products, within planned schedules and with excellent quality. You will lead the research and evaluation of emerging technology, industry and market trends to assist in development and/or operational support activities. Driving data engineering standards within the team and meeting all business/project metrics will be a key responsibility. You will also coordinate Technical Design Reviews (Concept, Development, and Evaluation TDRs) and ensure privacy and security controls are in place for sensitive and PII/PHI data. Working with product owners and business leaders to understand market needs and vision, you will quickly translate that vision into demonstrable applications and generate reports, annotated code, and other projects to document, archive, and communicate your work and outcomes.

Responsibilities

• Collaborate with internal data teams to build predictive analytics, artificial intelligence, and machine learning models utilizing field service and equipment data to improve business efficiency.
• Work closely with project managers & data experts from various teams to develop end-user services using AWS native technologies.
• Apply knowledge of data science, artificial intelligence, machine learning, statistical modeling, best practices, and programming to deliver analytic features on AWS products, within planned schedule with excellent quality.
• Lead the research and evaluation of emerging technology, industry and market trends to assist in development and/or operational support activities.
• Drive data engineering standards within the team and meet all business/project metrics.
• Coordinate Technical Design Reviews (Concept, Development, and Evaluation TDRs).
• Ensure privacy & security controls are in place for sensitive and PII/PHI data.
• Restrict data access based on data consumption for functional users, data team members, and applications.
• Work with product owners and business leaders to understand market needs & vision; quickly translate that vision into demonstrable applications.
• Quickly define and deliver working application prototypes.
• Generate reports, annotated code, and other projects to document, archive, and communicate your work and outcomes.

Requirements

• Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math).
• Minimum of 4 years of relevant work experience (As a data scientist, data analyst, data engineer, software engineer or related data analytics discipline).
• Experience with R and Python programming languages.
• Experience working with Natural Language Processing techniques and GPT models.
• Experience working with Amazon Web Services (AWS) native services such as Kafka, Kinesis, S3, Cloud watch, step function, Lambda, Spark, Glue/EMR, Elastic Search/Kibana reports, Athena, Sagemaker, Redshift.
• AWS certification(s) (preferably AWS Cloud Data Engineer).
• Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or HiveQL.
• Exposure to Extract, Transform & Load (ETL) data processes and machine data.

Nice-to-haves

• Masters degree in Computer Science, Data Science, Statistics, Informatics, Physics, or other Quantitative STEM field.
• Experience working with data reporting platforms and generating visual summaries of data (PowerBI, Spotfire, Tableau, Streamlit).
• Experience working with newer/ less matured technologies, proof-of-concepts, driving pilots, and product evaluations.
• Willingness to explore alternate technologies and new approaches to solving problems.
• Strong interpersonal skills, including creativity and curiosity with ability to effectively communicate and influence across all organizational levels.
• Demonstratable knowledge of technical topics, such as APIs, data transfer, scalability, and data security.

Benefits

• Relocation assistance
• Health insurance