Work with on premise and cloud-based solutions and platforms
Assist in the development and implementation of AI models and algorithms to solve real-world logistics and transportation challenges
Collaborate with cross-functional teams to integrate generative AI and LLM capabilities into existing systems and workflows
Analyze and document data requirements including facilitation of sessions with business
Data analysis and profiling
Collaborate with the technical team, in any given product development cycle, on data and AI requirements
ETL source to target documentation including business matrix and functional requirements
Develop and test data ingestion and integration processes
Troubleshoot data ingestion, ETL and data issues
Design and develop machine learning models, interactive visual dashboards, and reports
Ability to write SQL queries to profile data and validate solutions delivered against data sources
SQL troubleshooting
Develop and test scripts to support ETL jobs execution
Understand that the end user is the primary reason for the technology and therefore strive for full customer satisfaction
Partner with key members of various departments to determine the definitions of essential data elements
Work with data architects to review and implement logical and physical database models
Support the mapping of source system data to target models into data warehouse and data lake
Define and capture metadata and rules associated with the calculation of metrics
Test automation
Perform other duties as assigned

Requirements

Senior/Graduate Students pursuing a bachelor's or master’s degree in management information systems (MIS), computer science, data science or computer engineering preferred
Exposure to SQL, database management systems, NO-SQL databases, data integration tools like Informatica or Azure Data Factory preferred
Exposure to cloud technologies and platforms desired
Exposure to machine learning, predictive modeling and use of large language models desired
Knowledge to scripting languages like UNIX shell scripting, Python, R preferred
Must be self-motivated, results-oriented and accountable
Excellent interpersonal and communication skills
Ability to work independently
Passionate for learning
Good organizational skills

Benefits

Comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options
Paid time off for vacation, illness, bereavement, family and parental leave
Tax-advantaged 401(k) retirement savings plan

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI modelsalgorithmsdata analysisETLSQLmachine learningdata integrationscripting languagespredictive modelingdata profiling

Soft Skills

self-motivatedresults-orientedaccountableinterpersonal skillscommunication skillsindependent workpassionate for learningorganizational skills