TechBiz Global GmbH
Data Scientist – Dynamic Pricing & Offer Optimization
Remote role where the employee must remain based in a particular country.
Pakistan only
Employer listed it 10 months ago · Added yesterday
Been open since 10 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Pakistan only
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
This employer didn't state pay. Jobs like this usually pay around $115k–$225k a year, a typical range taken from 169 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in Pakistan. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Remote job, Islamabad, Pakistan, Punjab, Karachi, Remote"
What Nomaders makes of it
- Residency required in Pakistan
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Data Scientist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Key Responsibilities:
Build and deploy models for:
Price Elasticity / Conversion Prediction
Churn Propensity / Retention Uplift
Segment Discovery & Similarity (Clustering, KNN)
Offer Recommendation / Ranking (Scoring Models)
Design A/B testing and uplift modeling to evaluate campaign performance.
Develop simulation engines for pricing what-if analysis and scenario testing.
Create automated pipelines for model training, scoring, and retraining.
Work closely with Data Engineers to ensure feature store alignment.
Collaborate with the Business Decisioning team to translate insights into rules and thresholds.
Implement feedback loops using real-time events (purchase, rejection, expiry) to improve models.
Required Skills:
Experience Level: 5–8 years in Applied Machine Learning, Statistical Modeling, and Data Science for large-scale systems
Strong foundation in Machine Learning, Statistics, and Econometrics.
Proficient in Python (pandas, scikit-learn, numpy, statsmodels, xgboost, lightGBM).
Experience with model lifecycle management (MLOps).
Solid understanding of telecom KPIs: ARPU, recharge frequency, wallet size, churn rate, etc.
Ability to design feature engineering pipelines and perform A/B testing.
Expertise in data visualization and storytelling for non-technical stakeholders
Preferred (Nice-to-Have):
Experience with Telecom Offer & Recharge Modeling or Dynamic Pricing Systems.
Knowledge of Pricefx PriceAI, Adobe Target Recommendations, or Reinforcement Learning frameworks.
Requirements
- ·Experience Level: 5–8 years in Applied Machine Learning, Statistical Modeling, and Data Science for large-scale systems
- ·Strong foundation in Machine Learning, Statistics, and Econometrics.
- ·Proficient in Python (pandas, scikit-learn, numpy, statsmodels, xgboost, lightGBM).
- ·Experience with model lifecycle management (MLOps).
- ·Solid understanding of telecom KPIs: ARPU, recharge frequency, wallet size, churn rate, etc.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at TechBiz Global GmbH, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $115k to $225k per year · You'll be taken to the employer's careers page.