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Mathematician CV vs Network Analytics Engineer Job
Updated: April 4, 2026

Mathematician CV vs Network Analytics Engineer Job

A detailed comparison of a Mathematician's CV against the requirements for a Network Analytics Engineer position at A.P. Moller - Maersk.

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1Resume
2Job Description
3Fit Analysis for Network Analytics Engineer
Mathematician Resume
László Kovács
Mathematician
Copenhagen, Denmark | +45 12 34 56 78 | laszlo.kovacs@example.com

Mathematician with a background in quantitative development, software engineering, and production planning, with strong Python and SQL skills for optimization, data analysis, and automation. Focused on applying operations research and mathematical modeling to improve planning logic and decision-making in logistics and network systems. Experienced in translating ambiguous planning requirements into well-defined user stories and analytical solutions, and in communicating results in a structured, actionable way across technical and business teams. Driven to simplify complexity and enhance scalable, data-driven planning workflows.

Experience
Research Associate
Sep 2021 - present
Published research results in several journals, including D1 and Q1 publications in the area of mathematics, computer science and manufacturing, and presented the results on multiple domestic and international conferences. Contributed to applied research projects in manufacturing systems and management to manage uncertainty, using machine learning, statistics and optimization techniques. Translated requirements of business and engineering units of Hitachi to mathematical modeling, and presented the results and ambiguities to them via bi-weekly status reports. Developed and implemented a vehicle routing and scheduling software for the logistic operations of a regional electrical installation company.
Software Developer
Feb 2021 - Sep 2021
Developed and implemented a cutting-plane algorithm for an integrated system configuration and layout planning problem in a collaborative research project with Hitachi as industrial partner, resulting in 79% decrease in production line planning time.
Quantitative Developer, Strategist
Jan 2020 - Feb 2021
Revalidated, stress tested, documented and remediated several derivative pricing models used by the Commodity Trading Desk of the Fixed Income Division as part of the Regulatory Modeling team. Participated in regular briefings with both the Trading Desk and the Risk Management, translating technical modeling details and requirements between the units.
Software Developer
Oct 2018 - Jan 2020
Co-developed, tested, documented and maintained the CI/CD and build system used by the Component Based Architecture unit as part of the Tools&Builds team. Integrated static/dynamic syntax validation tools into the automated build and code review loop and developed a blue-green deployment scheme for the Jenkins build server with Nginx. Bridged software developer and DevOps teams by converting planning requirements into structured user stories.
Education
Doctor of Philosophy
Sep 2021 - present
Mathematics and Computer Science Absolved; Thesis submission and defense expected in 2026
Master of Science
Sep 2018 - Jan 2021
Major: Applied Mathematics, Minor: Operations Research. Relevant Coursework: Markov Chains, Stochastic Processes; Machine Learning; Artificial Intelligence; Continuous Optimization, Integer Programming; Combinatorial Optimization; Numerical Methods for ODEs
Bachelor of Science
Sep 2015 - Jun 2018
Mathematics; Applied Mathematics Specialization. Relevant Coursework: Operations Research; C++ Programming; Numerical Analysis, Probability Theory; Statistics; Data Science
Skills

Python, C++, SQL, Matlab, Git, Docker, Azure cloud, APIs, Xpress, Gurobi, Linux, Power BI, Excel, Cloud computing, CI/CD, Containerization

Languages

Hungarian (native), English (fluent), Norwegian (intermediate), Danish (beginner)

Network Analytics Engineer Job Description
Vacancy
Network Analytics Engineer · A.P. Moller - Maersk
Join a team that builds and strengthens the analytical and optimization foundation behind Maersk's global network planning.
Role
Network Analytics Engineer
Company
A.P. Moller - Maersk
Location
Copenhagen, Capital Region of Denmark, Denmark
Remote policy
flexible hybrid working
Employment type
Full-time
Responsibilities
  • Support key operational and strategic planning activities by preparing, analysing and reviewing planning outputs
  • Strengthen routing and container flow logic through targeted quantitative analysis
  • Identify data or logic gaps and propose improvements
  • Provide clear analytical insights for planners
  • Maintain and refine small scripts for metrics and reporting
  • Translate planning needs into user stories and acceptance criteria
  • Collaborate with planning, equipment, finance and technical teams
  • Communicate findings and convert feedback into enhancements
  • Support testing and sign off of new analytical features
  • Document updates to logic and processes
Must-have requirements
  • Master’s degree or PhD in engineering, mathematics, computer science or related field
  • Strong Python and SQL skills
  • Understanding of modelling and optimization principles
  • Ability to convert planning needs into user stories
  • Analytical strength to validate logic and troubleshoot issues
  • Proactive mindset with structured communication
  • Ability to collaborate across diverse functions
  • Discipline in testing, documentation and data quality assurance
Benefits
  • World‑class learning
  • Supportive leaders
  • Flexible hybrid working
  • Industry‑leading benefits
Tech stack
Python
SQL
Fit Analysis for Network Analytics Engineer
Warnings
  • The resume provides strong evidence for most must-have requirements, but some areas like structured communication and collaboration across diverse functions are less explicitly covered.
Section breakdown
Summary
18/22Counted
The summary strongly aligns with the vacancy, highlighting key skills like Python and SQL, and experience in mathematical modeling and optimization.
Supporting evidence
  • Mathematician with a background in quantitative development, software engineering, and production planning, with strong Python and SQL skills.
Missing evidence
  • Explicit mention of structured communication and collaboration across diverse functions.
Improvement hint
Include more explicit references to structured communication and cross-functional collaboration.
Skills and ATS
15/18Counted
The skills section covers most of the critical ATS-relevant skills such as Python, SQL, and optimization tools.
Supporting evidence
  • Python
  • SQL
  • Matlab
  • Gurobi
Missing evidence
  • Explicit mention of testing and documentation discipline.
Improvement hint
Add skills related to testing, documentation, and data quality assurance.
Experience
22/28Counted
The work experience provides strong evidence of relevant skills and responsibilities, particularly in optimization and quantitative analysis.
Supporting evidence
  • Developed and implemented a vehicle routing and scheduling software.
  • Contributed to applied research projects in manufacturing systems.
Missing evidence
  • Direct evidence of collaboration across diverse functions.
Improvement hint
Highlight experiences that demonstrate collaboration with diverse teams.
Education
10/10Counted
The candidate holds a Master's degree in Applied Mathematics, which aligns perfectly with the educational requirement.
Supporting evidence
  • Master of Science in Applied Mathematics from Eotvos Lorand University.
Improvement hint
None needed.
Language and location
ExcludedExcluded
Language and location requirements are not explicitly stated in the vacancy.
Improvement hint
None needed.
Contact readiness
7/7Counted
The resume includes both email and phone contact information, with clear location context.
Supporting evidence
  • Email: laszlo.kovacs@example.com
  • Phone: +45 12 34 56 78
Improvement hint
None needed.
Nice-to-have bonus
ExcludedExcluded
No nice-to-have requirements specified in the vacancy.
Improvement hint
None needed.
Strengths
  • Strong alignment with educational and technical skill requirements.
  • Relevant experience in optimization and quantitative analysis.
Risks
  • Less explicit evidence of structured communication and cross-functional collaboration.
Must-have requirements
Master’s degree or PhD in engineering, mathematics, computer science or related field
Exact
Score impact: 100/100
The candidate's educational background directly matches the requirement.
  • Master of Science in Applied Mathematics from Eotvos Lorand University.
Strong Python and SQL skills
Exact
Score impact: 100/100
The candidate has explicitly listed Python and SQL as strong skills in multiple sections.
  • Strong Python and SQL skills for optimization, data analysis, and automation.
Understanding of modelling and optimization principles
Strong
Score impact: 100/100
The candidate's experience and education reflect a strong understanding of these principles.
  • Focus on applying operations research and mathematical modeling to improve planning logic.
Ability to convert planning needs into user stories
Strong
Score impact: 100/100
The candidate has demonstrated this ability in previous roles.
  • Translating ambiguous planning requirements into well-defined user stories.
Analytical strength to validate logic and troubleshoot issues
Strong
Score impact: 100/100
The candidate's experience in model validation and troubleshooting supports this requirement.
  • Revalidated, stress tested, documented and remediated several derivative pricing models.
Proactive mindset with structured communication
Weak
Score impact: 100/100
The resume implies structured communication but lacks explicit examples.
  • Communicating results in a structured, actionable way across technical and business teams.
Ability to collaborate across diverse functions
Weak
Score impact: 100/100
Collaboration is implied but not extensively detailed.
  • Bridged software developer and DevOps teams by converting planning requirements into structured user stories.
Discipline in testing, documentation and data quality assurance
Strong
Score impact: 100/100
The candidate's experience in documentation and validation supports this requirement.
  • Documented and remediated several derivative pricing models.
  • Integrated static/dynamic syntax validation tools into the automated build and code review loop.
Recommendations
Enhance the summary to include more explicit examples of structured communication and cross-functional collaboration.
High
Section: summaries
Score impact: +5
Improving these areas will strengthen alignment with the vacancy's requirements.
Scoring notes
  • The resume is well-aligned with the vacancy, but some areas like structured communication and collaboration could be more explicitly detailed.