کد آگهی: KP3486844084

استخدام Senior Data Scientist

پراپرتی چی‌پی‌تی | PropertyGPT Tech

در تهران

در وبسایت جابینجا (5 روز پیش)

اطلاعات شغل:

نوع همکاری: تمام‌وقت

مدرک تحصیلی مورد نیاز: کارشناسی

مهارت‌های مورد نیاز:

Data science

Python

SQL

بازه حقوق: از 45,000,000 تومان

پرداخت‌ها: از ۴۵,۰۰۰,۰۰۰ تومان

متن کامل آگهی:

Location

Zaferaniyeh, Tehran (On-site: 44 hours/week).

About the Team

We use data science to uncover financial patterns in Dubai’s real estate market—turning raw, messy data into clear signals for pricing, risk, and growth. Our work spans data ingestion and quality, geospatial enrichment, forecasting, experimentation, and decision support.

About this Role

You’ll design and build end-to-end analytics for Dubai property markets—assembling datasets, crafting features, and shipping models that forecast prices/rents, estimate risk/returns, and detect market regimes. You’ll balance statistical rigor with product pragmatism, and translate findings into dashboards, APIs, and narratives stakeholders can act on.

In this role, you will

Build robust data pipelines for property transactions, listings, rentals, valuations, macro indicators, and geospatial layers (e.g., neighborhoods, transit, POIs).
Engineer features for real estate finance such as yields/cap rates, NOI, absorption, vacancy, time-on-market, proximity scores.
Develop and productionize models like hedonic/GLM, gradient-boosted trees, time-series (ARIMA/Prophet), regime detection, clustering/segmentation.
Perform scenario analysis and Monte Carlo, cash flows, and sensitivity to rates.
Detect anomalies and data issues (outliers, spoofed listings, stale comps).
Ship decision tools such as valuation and rent estimators, demand heatmaps, neighborhood indices, and risk dashboards with clear confidence intervals.
Document methods, communicate insights simply, and create reproducible analyses.

You might thrive in this role if you

Have strong experience (3+ years) of applied data science/analytics experience and strong Python/SQL skills (pandas, NumPy, scikit-learn; plus a BI tool of your choice).
Comfortable with statistics/econometrics (inference, causal ideas, time-series).
Understand real estate finance concepts (cap rate, yield, IRR/NPV) and can tie them to model features and KPIs.
Work well with geospatial data (GeoPandas/PostGIS) and accessibility metrics.
Can take analyses to production—versioned data, feature stores, scheduled jobs, model serving, and monitoring.
Communicate clearly in English and enjoy collaborating across product, and design.
Bring a learning mindset, and enjoy fast-moving environments!

Nice to have

Experience with Dubai data sources and context (e.g., DLD/RERA datasets).
Cloud data stacks (BigQuery/Redshift), orchestration (Airflow), and streaming (Kafka).
Forecasting at scale, gradient boosting, probabilistic modeling, or causal inference.
GIS tools (QGIS), map rendering, and spatial indexing.
NLP for listing dedup and attribute extraction.

Benefits

Flexible working hours.
Competitive compensation with growth tied to measurable impact.
Performance bonuses based on outcomes and ROI.
Relocation to Dubai, UAE available contingent on funding and core-team status.
Close-knit team with a friendly, supportive culture.

این آگهی از وبسایت جابینجا پیدا شده، با زدن دکمه‌ی تماس با کارفرما، به وبسایت جابینجا برین و از اون‌جا برای این شغل اقدام کنین.

هشدار

توجه داشته باشید که دریافت هزینه از کارجو برای استخدام با هر عنوانی غیرقانونی است. در صورت مواجهه با موارد مشکوک،‌ با کلیک بر روی «گزارش مشکل آگهی» به ما در پیگیری تخلفات کمک کنید.

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