Job Quick Facts
1. All4U Tech & Solutions — Data Science Engineer
Location: Remote — Pakistan
Client: US-based clients
Employment: Remote / project-based
Salary: 2,200 USDC/month + up to 10% performance bonus
Experience: 3+ years professional Data Science or Machine Learning experience
Education: Bachelor's degree in a relevant technical field
Deadline: Not stated
Official company application portal: Not independently verified
Current status: The vacancy is currently appearing on Glassdoor/Indeed.
2. Educational requirements
The listing accepts a Bachelor's degree in fields including:
Computer Science
Data Science
Artificial Intelligence
Machine Learning
Information Technology
Software Engineering
Computer Engineering
Statistics
Mathematics
Information Systems
Other related technical fields.
So Software Engineering is explicitly one of the accepted degrees.
3. Experience requirement
This is an important requirement:
3+ years of professional experience
The job asks for professional experience in:
Data Science
Machine Learning
However, the listing also says equivalent practical experience with strong Data Science and Machine Learning expertise may be considered.
If you are a student/fresh graduate, don't claim 3 years of professional experience. You can still try only if you genuinely have substantial practical equivalent experience, but this is primarily an experienced role.
4. Technical requirements
🐍 Python
You should have strong Python skills, especially:
Pandas
NumPy
🗄️ SQL
You need strong SQL skills for working with data.
🤖 Machine Learning
You should understand:
Classification
Regression
Clustering
Forecasting
Predictive modeling
Model training
Model evaluation
Model optimization
Feature engineering
📊 Statistics
The position requires understanding of:
Statistical analysis
Model evaluation
Experimental design
A/B testing
Optimization techniques.
🧠 ML frameworks
Experience with at least one of:
Scikit-learn
PyTorch
TensorFlow
is required.
5. Deployment / MLOps
This isn't just a Data Analyst position.
You should know how to:
Deploy ML models
Monitor models in production
Identify data problems
Improve model performance
Work with MLOps practices.
6. Main responsibilities
If hired, you would be expected to:
Understand business requirements.
Convert those requirements into Data Science/ML solutions.
Perform Exploratory Data Analysis (EDA).
Perform feature engineering.
Conduct statistical analysis.
Build ML models.
Train and evaluate models.
Optimize model performance.
Work on classification, regression, clustering, forecasting and NLP.
Design experiments/A-B tests.
Deploy models into production.
Monitor model performance.
Communicate technical solutions to US clients.
Participate in technical discussions and solution presentations.
Work with distributed teams across different time zones.
7. Very important — English communication
This job is US-client-facing.
That means you aren't simply sitting behind a computer writing Python.
The listing specifically requires strong English communication because you may have to:
Talk directly with clients
Participate in client interviews
Explain technical solutions
Participate in technical discussions
Present project outcomes.
So prepare your spoken English + technical communication as well.
8. Salary
The listing states:
$2,200 USDC/month
plus:
Up to 10% performance bonus
So the maximum advertised monthly compensation would be approximately $2,420 USDC if the full 10% bonus were achieved.
9. How to apply
Because I could not verify an official All4U company careers portal, I recommend the following safe procedure.
Step 1 — Open the current job listing
The current listing is available on Glassdoor:
All4U Tech & Solutions — Data Science Engineer listing
The listing currently shows “Sign in to apply.”
Step 2 — Sign in
Create/sign into your Glassdoor account.
Step 3 — Click Sign in to apply / Apply
Follow the application process displayed by Glassdoor.
Step 4 — Prepare your CV
Your CV should be specifically tailored to this position.
For example:
Technical Skills
Python
Pandas
NumPy
SQL
Scikit-learn
Machine Learning
Statistics
Feature Engineering
Model Evaluation
PyTorch / TensorFlow
NLP
Forecasting
MLOps
Machine Learning Deployment
Git/GitHub
Only include technologies you genuinely know.
Step 5 — Add your strongest projects
For example:
Customer Churn Prediction
Python
Pandas
Scikit-learn
Classification
Feature Engineering
Model Evaluation
Sales Forecasting
Python
Pandas
Time-Series Analysis
Forecasting
Model Evaluation
NLP Project
Python
NLP
Text preprocessing
Machine Learning
Step 6 — Add GitHub
If your projects are on GitHub, put your GitHub profile on your CV.
Example:
GitHub: github.com/yourusername
LinkedIn: linkedin.com/in/yourusername
Step 7 — Submit
Complete the application and upload your CV.
10. What you should prepare before applying
If you want to compete seriously for this position, prepare these areas:
Area
Required level
Python
Pandas
NumPy
SQL
Statistics
Machine Learning
Scikit-learn
PyTorch/TensorFlow
Feature Engineering
Model Evaluation
NLP
Forecasting
MLOps
Model Deployment
English communication
Based on the actual listing, the biggest barrier is the 3+ years professional experience requirement.
Therefore:
If you're a Software Engineering student/fresh graduate → ❌ Not an ideal target.
If you have 3+ years professional DS/ML experience → ✅ Strong target.
If you don't have 3 years but have exceptional equivalent practical experience → ⚠️ You can try, because the listing says equivalent practical experience may be considered.