Senior Data Scientist (Maps)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (Maps): Designing and deploying ML and data-driven solutions to detect and resolve map quality issues with an accent on data drift analysis and model performance metrics. Focus on building end-to-end automated workflows, productionizing data pipelines, and mentoring team members to ensure high-quality, scalable mapmaking processes.
Location: Must be based in Lodz, Poland (Hybrid: 2 days/week in office).
Company
A global leader in location technology, revolutionizing navigation and real-time mapping for millions of users and enterprises worldwide.
What you will do
- Design and deploy ML solutions to detect and validate map quality issues.
- Define data analysis and model evaluation standards using advanced metrics.
- Lead the productionization of models and optimize data pipelines.
- Build end-to-end automated workflows to minimize manual resolution processes.
- Perform code reviews and ensure production-ready solution quality.
- Mentor less experienced scientists and coordinate data science initiatives.
Requirements
- 4+ years of experience in data science or applied science roles.
- Strong expertise in machine learning, model selection, and dimensionality reduction.
- Excellent Python skills and experience with large-scale data processing like Spark.
- Proven experience in building and deploying ML solutions in production.
- Strong communication skills for technical and non-technical stakeholders.
Nice to have
- Experience with geospatial or road network data.
- Familiarity with ML experimentation and monitoring tools like MLflow or Databricks.
- Experience in Java and related technologies.
Culture & Benefits
- Competitive compensation package and holiday plan.
- Personal development budget and paid learning days.
- Enhanced parental leave and support for volunteering.
- Flexible work environment with home office setup budget and monthly allowance.
- Inclusive global culture with 80+ nationalities and annual events like Hackathons.
Hiring process
- Application screening.
- Assessments and interviews.
- Onboarding.
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