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Job Summary
To support our extraordinary teams who build great products and contribute to our growth, were looking to add a Supply Chain Solution Data Scientist located in Austin, TX or Remote.
Reporting to the Sr Director Supply Chain Solutions, the Supply Chain Solution Data Scientist is a part-time position. There is potential to be converted to full-time based on performance and organizational needs/budget. This role would be ideal for a grad student (Masters' or PhD candidate) nearing the end of their studies (i.e. within 1 year of graduation).
What a typical day looks like:
Use various analytical techniques including visualization, statistical methods, machine learning/AI techniques to create scalable solutions for business problems
Translate Supply Chain business problems and questions into specific quantitative questions to be answered with available data using robust methodologies. In many cases, the data collection at scale will be part of the task and may involve co-work with the software development team
Coordinate and perform testing on data quality and solutions
Analyze and extract relevant information from big data to help automate and optimize key processes.
Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation
Research and implement novel machine learning and statistical approaches
Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings to stakeholders through visual displays of quantitative information
Build scalable prototype analytics solutions
Work closely with software development/engineering teams to build model implementations and integrate successful models and algorithms in production systems at scale
The experience were looking to add to our team:
Minimum 2+ years of professional work experience
Strong knowledge of R or Python (4+ years) is required. Demonstrated skill and experience in data analysis within open source scripting languages (e.g. R, Python).
Experience within the RStudio ecosystem (Shiny dashboards and applications, Plumber APIs, RStudio Connect)
Strong Experience with SQL and working with relational databases (SQL Server, Teradata, MySQL etc.)
Strong demonstrated knowledge of applied statistical and machine learning methods
Experience with XML, JSON data formats, working with REST APIs, SVN/Git or other version control tools and techniques
Demonstrated ability to manage projects and implementation of solutions/applications
Effective written and oral communication skills, team player
What youll receive for the great work you provide:
Full range of medical benefits, dental, vision
Life Insurance
Matching 401K
PTO
Tuition Reimbursement
Employee discounts at local retailers
CR29
Job Category
Global Procurement & Supply Chain
Relocation:Eligible for domestic relocation only
Is Sponsorship Available?
No
Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We celebrate diversity and do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the recruitment process. Please advise us of any accommodations you may need by e-mailing: accessibility@flex.com.
