Security Engineer – Architecture
Lambda
AWSAzureCloudGoGoogle Cloud PlatformLinuxPython
Senior Data Scientist
method products pbc
full-time
Posted on:
Location Type: Office
Location: 🇵🇱 Poland
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformNumpyPandasPython
About the role
- Collaborate with a cross-functional team (designer, product strategy, solution architects) to improve and optimize Monte Carlo–based simulation algorithms for predictive maintenance planning.
- Analyze, refactor, and optimize existing Python code to ensure performance, scalability, and adherence to best practices.
- Benchmark algorithm performance at component and system levels under varying data volumes and hardware configurations (CPU vs GPU).
- Design and execute experiments to evaluate the feasibility of large-scale simulation deployments on cloud environments (Azure preferred).
- Develop proof-of-concept data workflows, including parameterized simulations, scenario scaling, and distribution-based reporting.
- Contribute to defining the Minimum Viable Architecture (MVA), including cost assessment, hardware/software requirements, and integration pathways.
- Produce technical deliverables: benchmark reports, code optimization documentation, cost/performance trade-offs, and recommendations for next phases.
- Work closely with solution architects and fellow data scientists; translate simulation results into actionable insights for product and service offerings.
- Travel for team and client meetings, typically up to 15%.
Requirements
- Master’s or PhD in Computer Science, Data Science, Applied Mathematics, Operations Research, or a related field.
- 3–5+ years of professional experience in data science, computational modeling, or applied research (industry or advanced research projects).
- Strong proficiency in Python, including code optimization, profiling, and use of libraries for scientific computing (NumPy, SciPy, pandas, Dask, Numba, etc.).
- Experience with Monte Carlo simulation methods or other stochastic modeling techniques.
- Familiarity with high-performance computing (parallelization, GPU acceleration, CUDA, RAPIDS, or equivalent).
- Hands-on experience with cloud platforms (Azure preferred, AWS or GCP acceptable), including resource provisioning, scalability, and cost management.
- Understanding of data architecture principles and ability to work with large, complex datasets.
- Experience in building data-driven reports and visualizations (e.g., matplotlib, Plotly, Dash, or equivalent).
- Knowledge of software engineering practices (version control, testing, static analysis, code reviews).
- Preferred: Experience with predictive maintenance, reliability engineering, APM systems, energy/utility sector solutions, Azure Machine Learning, Databricks, or distributed computing frameworks.
- Strong analytical and problem-solving skills with ability to translate complex simulations into actionable insights.
- Ability to work in a collaborative, cross-functional, and international team environment.
- Excellent communication and documentation skills for technical and non-technical stakeholders.
- Proactive, research-oriented mindset with focus on experimentation and feasibility assessment.
Benefits
- Continuing education opportunities
- Flexible PTO and work-from-home policies
- Private medical care (can be extended to your family)
- Cafeteria system as part of the Benefit platform
- Group life insurance
- Creative TAX-deductible cost
- Other location specific perks (just ask!)
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonMonte Carlo simulationdata sciencecomputational modelingcode optimizationprofilingNumPySciPypandasDask
Soft skills
analytical skillsproblem-solving skillscollaborative skillscommunication skillsdocumentation skillsresearch-oriented mindsetfocus on experimentationability to translate complex simulationscross-functional teamworkproactive approach
Certifications
Master’s degreePhD
