Senior ML Engineer & Data Leader—Pricing & Analytics

VavaCars

Şişli

On-site

TRY 600,000 - 900,000

Full time

14 days+

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Benefits offered by this job

Performance bonus
Private health insurance
Transportation support
Meal allowance

Job summary

VavaCars is seeking a senior, hands-on data leader to own data science, data engineering and analytics. You will build and ship production models and pipelines and serve as the data voice at the executive level, reporting to the Software Development Director.

This role blends coding with strategic influence, measuring success by business impact and adoption of data solutions across the company.

Qualifications

  • 7+ years in data science, data engineering or analytics with leadership experience.
  • Strong Python and SQL skills; production ML experience and monitoring/retraining.
  • Solid data engineering: pipelines and cloud data platforms (Azure preferred).
  • Experience delivering analytics to business users with BI tools.
  • Good grasp of experimentation and statistics; A/B test design & analysis.
  • Proven ability to communicate with senior stakeholders and translate tech to business.
  • Professional-level English.

Responsibilities

  • Own the pricing engine and ML-based vehicle price forecasting in production.
  • Lead data strategy at executive level and translate priorities into a data roadmap.
  • Design, run and analyze experiments; keep experimentation central to work.
  • Build models for use cases beyond pricing in collaboration with other functions.
  • Manage recurring pricing ops and ensure timely pricing reports and adjustments.

Skills

Data science
Data engineering
Analytics
Python
SQL
ML in production
Model monitoring
Retraining
Experimentation
Communication with stakeholders
English

Tools

Azure
AWS
GCP
Snowflake
Databricks
Power BI
Tableau
Docker
CI/CD
FastAPI
Flask

Job description

VavaCars is seeking a senior, hands-on data leader to own data science, data engineering and analytics. You will build and ship production models and pipelines and serve as the data voice at the executive level, reporting to the Software Development Director.

This role blends coding with strategic influence, measuring success by business impact and adoption of data solutions across the company.

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