About the role

Aplyr's Quick Take

This role is for a Data Analyst focused on supporting machine learning projects, particularly in computer vision and natural language processing. You'll be hands-on with data tasks like labeling, data preparation, and model tuning, working closely with a technical team. It's an individual contributor role rather than a management position.

Good fit

Candidates with 5-7 years of experience in data analysis, machine learning, and programming (especially in Python) will thrive here. A detail-oriented, collaborative approach is essential, as you'll be working with both technical and non-technical teams.

Worth noting

The role requires a solid background in data engineering and machine learning, which may be a step up for those coming from purely analytical backgrounds. The focus on hands-on data tasks suggests a practical, rather than purely strategic, position.

Before you apply to a job, select your language preference from the options available at the top right of this page.

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

Job Title: Data Analyst – DSML Team

Overview
We are looking for a Data Analyst to support the DSML team in advancing projects across computer vision, NLP, and LLM applications. The ideal candidate will be hands-on with data, detail-oriented, and comfortable working across data engineering and machine learning workflows.

Key Responsibilities

Support the DSML team by labeling objects in computer vision projects.
Review and evaluate retrieval quality for LLM and NLP projects.
Assist in data engineering tasks, including data preparation, transformation, and validation.
Help tune model parameters and contribute to improving model performance.
Collaborate with cross-functional teams to ensure data quality and project success.

Required Skills & Experience

Programming: Python, Pandas, SQL, Flask, Web Services.
Skills: Data Engineering, Machine Learning, Deep Learning, Computer Vision.
Tools: Google Cloud Platform (GCP), hands-on experience with Large Language Models (LLMs).
Strong analytical and problem-solving skills with attention to detail.
Ability to communicate findings and collaborate effectively with technical and non-technical stakeholders.

Qualifications
• Min 5 to 7 years of experience
• Bachelor’s Degree or International equivalent

Employee Type:

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Skills & Tags

python gcp data

Aplyr's read

UPS is a cornerstone of global logistics, employing diverse roles from operations to sales, for those who thrive in a fast-paced environment.
Synthesized from recent postings & public sources

What's promising

•UPS offers a vast global network, providing stability and growth opportunities.
•The company invests heavily in technology to enhance logistics efficiency.
•UPS provides diverse career paths, from logistics to corporate roles.

What to watch

•The fast-paced environment can lead to high stress levels.
•Shift work and non-traditional hours may impact work-life balance.
•Limited public information about diversity and inclusion initiatives.

Why UPS

•UPS's brown delivery trucks are iconic in the logistics industry.
•The company has a strong focus on sustainability and carbon reduction.
•UPS's internal promotion culture supports long-term career growth.

Aplyr’s read is generated by AI from public sources. Was it useful?

About UPS

UPS

ups.com

View company

United Parcel Service (UPS) is a global logistics and package delivery company, known for its extensive transportation network and supply chain solutions.