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UPS

Applications Developer – Data Analyst, Data Science, Python, GCP, ML

UPS is hiring an Applications Developer – Data Analyst, Data Science, Python, GCP, ML. Level rates it ; you can apply on UPS.

Level's read on this job

  • Builds AI ●●●● is how Level rates this data analyst role: the job is building AI systems.
  • Tools and skills the posting cites include computer vision and NLP.
  • Level classifies it as a senior role.
  • Level lists 2,000+ other open roles at UPS.

AI in this role

computer-visionnlp

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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.

How we rate this

Applications Developer – Data Analyst, Data Science, Python, GCP, ML at UPS rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionNLP

Pay

Typical data analyst job
$115k

This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. What NLP problem have you worked on, and how did you measure whether it actually worked?
  3. How would you decide a model or AI system is ready to ship?
  4. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: Computer vision and NLP. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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