Job Summary

We are seeking hands-on interns who can work and learn data analysis & data science using industry platforms such as Snowflake, Dataiku, Alteryx, Tableau, PowerBI. Learn to build AI/ML models to analyze and solve complex data problems.

What Will You Learn

• Good understanding of data analytics, data science and AI/ML modelling
• Researching and analyzing large data sets and building machine learning models, including prototyping and measuring their performance
• Data analysis to identify patterns and insights, and use visualization tools to present their findings
• Collaboration with other team members, including data scientists and analysts to solve data-driven challenges

Responsibilities

Specific tasks, duties, essential functions of the job

• Design, construct, install, and maintain efficient and scalable data pipelines for ingesting, processing, transforming and storing large volumes of structured and unstructured data
• Partner with Information Security teams to ensure data is secure and in compliance with GDPR, CCPA, Data Privacy, and data retention policies
• Work with IT and data teams to implement data automation for ingestion, preparation, transformation and presentation using tools such as Dataiku, Alteryx, Tableau and PowerBI
• Work closely with business and IT stakeholders to explore and build AI/ML models for data intelligence for specific use cases
• Assist in the creation of technical specifications, system data flows, and concepts for large cross-functional data needs focusing on business processes, data flows, and integration standards
• Work closely with IT team to help build data governance framework, data catalogs & lineage, and data privacy

Qualifications

Experience and Education

• Enrolled in a bachelor’s or master’s degree in Information Systems, Computer Science, Business Analytics, or related field
• Knowledge of Snowflake, Python, Alteryx, DBT, Dataiku platforms for data management and automation
• Knowledge of BI tools such as Tableau, PowerBI and Alteryx
• Good understanding of data architecture principles, methodologies, and data governance framework
• Understanding of predictive modelling, NLP in Snowflake or equivalent
• Strong analytical, statistical and problem-solving skills to address complex data challenges
• Understanding of mobile & web applications automated and manual QA process and automation tools like Selenium, SonarCloud, BrowserStack, X-Ray or equivalent
• Exposure to application development lifecycle and frameworks
• Eager to learn how AI and automation can improve business engagement workflows

Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Inogen assesses market data to ensure a competitive compensation package for our employees.  The base salary for this position is expected to be between $21.19 and $23.37 per hour. However, actual base salary if hired will be determined on an individualized basis and will be based on non-discriminatory factors, including as to individual skills, education, experience and market location.  Inogen is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.