This one is closed
Live roles like this one
-
C
14h ago
Staff Machine Learning Engineer
Uber Chicago, IL; New York, NY; San Francisco, CA; Seattle, WA; Sunnyvale, CA
-
D
1d ago
Blue Pearl United States
-
B
1d ago
Senior Principal Machine Learning Engineer
Cotiviti United States $250k - $280k/yr
-
D
1d ago
Jumio Anywhere in the World
See every "Data Scientist" role →
Get new “Data Scientist” roles by email
One email a day with what is new in "Data Scientist". Nothing new, no email.
We confirm the address first, and every mail carries an unsubscribe link. Alerts are ours, not a third party's.
Why this grade This listing scored 54/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$163k – $276k
That is the middle half of what comparable roles paid on this board over the last 90 days — 31 listings that did publish a figure, median $179k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Data Science Developer Senior Full Time
- Develop and maintain scalable applications using Python, following best practices for clean, efficient, and maintainable code.
- Build APIs and backend services using modern frameworks such as Flask, FastAPI, or Django.
- Work with containerization and orchestration technologies to support deployment and scalability of applications.
- Design, develop, and deploy GenAI and LLM-based solutions using frameworks such as LangChain and LangGraph.
- Apply prompt engineering techniques and support LLM fine-tuning to optimize model performance.
- Build and optimize data pipelines and perform data processing and transformation using tools like Pandas, NumPy, SQL, and ideally PySpark.
- Translate business requirements into scalable, production-ready technical solutions.
- Collaborate with cross-functional and offshore teams, including UK-based stakeholders, ensuring clear communication and alignment.
- Manage multiple projects in a fast-paced environment while maintaining delivery quality and timelines.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related discipline.
- Minimum 3+ years of experience in software engineering, data science, machine learning, or AI engineering roles.
- Strong proficiency in Python with hands-on experience in backend development and API frameworks.
- Experience in deploying GenAI/LLM applications in production environments.
- Solid understanding of containerization, CI/CD pipelines, and modern deployment practices.
- Experience working with cloud platforms, preferably Azure, along with Databricks exposure.
- Strong skills in data manipulation and analysis using Pandas, NumPy, SQL, and PySpark (preferred).
- Familiarity with distributed data processing frameworks such as Spark is an added advantage.
- Excellent communication and collaboration skills, especially in distributed/offshore team environments.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
Quick question · anonymous · one tap
Would you apply to this job?
Answer to see what other job seekers said.
Your turn · no account needed
Help the next applicant
You may know something about this listing that we cannot see from here. One tap. No account needed. Signed-in reports earn points once the evidence agrees with you.
I know what it pays
Sign in with Google to earn points for reports — 100 confirmed points buy a week of Early Access.
Where this listing came from
- 03 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.