
Senior ML/Data Scientist
2 days ago
5 days ago Be among the first 25 applicants
Direct message the job poster from MedAide
CEO @ Aeyron | Transforming ideas into AI powered realities | Computer Vision | AI | Full Stack | NLP LLMs OpenAIKey Responsibilities
- Frame business problems as supervised / unsupervised ML tasks.
- Clean, engineer, and version large-scale datasets (SQL, Spark).
- Prototype, train, and deploy models (Python/R, scikit-learn, XGBoost, PyTorch).
- Own the full MLOps lifecycle: experiment tracking, CI/CD, model monitoring, A/B testing.
Econometrics & Forecasting
- Develop macro- & micro-economic forecasting models (ARIMA, VAR, GARCH, DSGE).
- Conduct policy impact studies and scenario analysis for new markets / products.
- Publish concise "data stories" for leadership and external stakeholders.
- Build 3-statement models, valuation dashboards, and stress-testing engines.
- Perform sensitivity / Monte-Carlo analyses on pricing, credit, market, and liquidity risk.
- Partner with Finance to refine budgets, KPIs, and capital-allocation decisions.
Stakeholder Enablement
- Design self-service BI dashboards (Power BI, Tableau) and statistical reports.
- Run workshops to upskill product managers, engineers, and analysts in data literacy.
- Present results to C-suite and external partners in clear, non-technical language.
Minimum Qualifications
Education
- PhD/MSc in Applied Economics, Statistics, Data Science, Computer Science, or related field.
- Strong foundation in probability, linear algebra, optimization, and micro/macroeconomics.
Technical
- 5+ years of professional experience building predictive models and statistical analyses.
- Fluency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) **and** R.
- Expert user of SQL and at least one cloud data stack (AWS, Azure, or GCP).
- Hands-on with econometric suites (EViews, Stata) and scientific computing tools (MATLAB, SPSS).
- Demonstrated ability to create full-stack financial models; FMVA, CFA (Level III) or equivalent is a plus.
Communication
- Track record of turning technical findings into compelling narratives for mixed audiences.
- Preferred / "Bonus-Point" Skills
- Experience deploying models with Docker/Kubernetes and using ML-flow, DVC, or
- similar tracking tools.
- Familiarity with qualitative research platforms (NVivo) and survey design/analysis.
- Prior exposure to the Pakistani fintech, telecom, or energy sectors.
- Publications in peer-reviewed journals or major conferences.
Interested candidates are advised to fill out the job application form through the link
https://forms.gle/GpcmuSFphRx5Ty6S9
Seniority level- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionEngineering and Information Technology
- IndustriesIT Services and IT Consulting
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