Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Photonic Product Engineer for Analytics and ML
United States
Actively hiring, first seen by us today- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: Onsite
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingApply ML and other analytics to product line data
Detect line trends sooner and uncover previously unseen correlations
Apply data engineering and automation to coherent optical pluggable products
From the employer’s posting
applying ML or other analytics to the data we generate
detect line trends sooner and uncover correlations that were previously not seen
focused on data engineering, machine learning (ML), automation, and analytics supporting our coherent optical pluggable product lines
Education & alternatives
- Position Requirements - - M.S. or Ph.D. in Electrical Engineering, Photonics, Applied Physics/Mathematics, Computer Science or Data Science, with 3+ years of experience applying data analytics or ML (Ph.D. can count toward the experience). - - Strong Python skills, data analysis, and data visualization skills
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
Nokia is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
Where the posting names them
- - M.S. or Ph.D. in Electrical Engineering, Photonics, Applied Physics/Mathematics, Computer Science or Data Science, with 3+ years of experience applying data analytics or ML (Ph.D. can count toward the experience). - - Strong Python skills, data analysis, and data visualization skills - - Experienced applying machine learning algorithms to large data sets and evaluating algorithm efficacy
- - Solid statistics background (regression, hypothesis testing, Design of Experiments, Statistical Process Control). - - Strong SQL skills on large datasets. - - Comfortable presenting data, making proposals to technical audiences, and working in a highly cross-functional environment.
Your next step
Complete your application on fa-evmr-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Nokia is searching for a qualified candidate to work as a Product Engineer focused on data engineering, machine learning (ML), automation, and analytics supporting our coherent optical pluggable product lines. The candidate hired to this position will help the wider RnD and Manufacturing teams by applying ML or other analytics to the data we generate to detect line trends sooner and uncover correlations that were previously not seen. Working in a vertically integrated organization, there will be opportunity to help products achieve industry leading performance through engineering optimization end-to-end. The position is based in Allentown, Pennsylvania.
Develop, improve, and maintain data visualization platforms to enable faster detection of line trends
Mine large manufacturing and test datasets, from wafer through module, to find yield drivers and failure signatures.
Deploy ML algorithms and AI agents to improve our ability to uncover correlations in the large data sets generated by the manufacturing line, spanning chip to module, including anomaly detection, yield prediction, root-cause analysis and early detection of line drift.
Perform statistical data analysis to characterize and help improve product yields and validate ML algorithm outputs
Identify opportunities for automation of analyses and engineering tasks using GenAI and workflow automation, working with other AI/ML partners to help drive best practices within the group
Position Requirements
M.S. or Ph.D. in Electrical Engineering, Photonics, Applied Physics/Mathematics, Computer Science or Data Science, with 3+ years of experience applying data analytics or ML (Ph.D. can count toward the experience).
Strong Python skills, data analysis, and data visualization skills
Experienced applying machine learning algorithms to large data sets and evaluating algorithm efficacy
Familiarity with communications systems concepts is a plus
Solid statistics background (regression, hypothesis testing, Design of Experiments, Statistical Process Control).
Strong SQL skills on large datasets.
Comfortable presenting data, making proposals to technical audiences, and working in a highly cross-functional environment.
ractices within the group
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.