Operations Research Mathematician vs. Network Analytics Engineer

Updated: March 26, 2026

Operations Research Mathematician vs. Network Analytics Engineer

Explore how Lars Nielsen's resume aligns with the Network Analytics Engineer position at A.P. Moller - Maersk, focusing on skills in Python, SQL, and optimization.

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Overall score

73 /100

Strong matchAnalysis complete

Evidence fit

ATS presentation

Confidence

85%

Lars Nielsen's Resume

Lars Nielsen

Operations Research Mathematician

Email: lars.nielsen@example.com

Phone: +45 12 34 56 78

Location: Copenhagen, Denmark

Summary: Operations research–focused mathematician with experience in quantitative development, software engineering, and production planning, and strong Python and SQL skills for optimization, data analysis, and automation. Applies linear and mixed-integer programming and algorithmic techniques to complex planning and network optimization problems. Experienced in formulating and validating models with a focus on correctness, stability, and data integrity. Emphasizes structured documentation, reproducible workflows, and data quality assurance to deliver reliable, scalable analytical solutions. Skilled in translating planning needs into user stories and communicating insights clearly across technical and business stakeholders.

Experience

Research Associate

Sep 2021 - present

HUN-REN Institute for Computer Science and Control

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. Built mixed integer linear programming models for various engineering problems arising from production line planning. Performed sensitivity analysis of MILP models. 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. Documented yearly projects in technical reports. Developed and implemented a vehicle routing and scheduling software for the logistic operations of a regional electrical installation company, using high performance C++ implementation of a local search scheme.

Software Developer

Feb 2021 - Sep 2021

HUN-REN Institute for Computer Science and Control

Developed and implemented a MILP and 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. Documented the algorithm and its industrial application in a D1 and a Q1 paper.

Quantitative Developer, Strategist

Jan 2020 - Feb 2021

Morgan Stanley

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

Ericsson R&D

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

Eotvos Lorand University, Budapest, HU

Mathematics and Computer Science Absolved; Thesis submission and defense expected in 2026

Master of Science

Sep 2018 - Jan 2021

Eotvos Lorand University, Budapest, HU

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

Eotvos Lorand University, Budapest, HU

Mathematics; Applied Mathematics Specialization Relevant Coursework: Operations Research; C++Programming; Numerical Analysis, Probability Theory; Statistics; Data Science

Skills

Python, C++, SQL, Matlab, Git, Docker, APIs, Xpress, Gurobi, Linux, Power BI, Excel, Cloud computing, CI/CD, Containerization, Documentation, Sensitivity testing, Stress testing

Languages

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

Network Analytics Engineer at A.P. Moller - Maersk

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 informed decision-making
Maintain and refine scripts for recurring metrics and reporting
Translate planning needs into user stories and acceptance criteria
Collaborate with various teams to align inputs and assumptions
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

Access to world-class learning
Supportive leaders
Flexible hybrid working
Industry-leading benefits
Diverse, inclusive community

Tech stack

Python

SQL

Fit Analysis for Network Analytics Engineer

Warnings

The resume lacks explicit mention of some must-have requirements such as 'Proactive mindset with structured communication' and 'Ability to collaborate across diverse functions'.
The contact readiness is slightly reduced due to the lack of explicit role or location context in the contact details.

Section breakdown

Summary

18/22Counted

The summary strongly aligns with the vacancy, reflecting key skills such as Python and SQL, and responsibilities like translating planning needs into user stories.

Supporting evidence

Operations research–focused mathematician with experience in quantitative development, software engineering, and production planning, and strong Python and SQL skills for optimization, data analysis, and automation.

Missing evidence

Proactive mindset with structured communication

Improvement hint

Include more explicit references to collaboration and communication skills in the summary.

Skills and ATS

15/18Counted

The skills section covers most of the critical ATS-relevant skills such as Python, SQL, and optimization principles.

Supporting evidence

Python
SQL
Optimization

Missing evidence

Proactive mindset with structured communication

Improvement hint

Ensure all must-have skills are explicitly listed and consider adding more context to skills like communication and collaboration.

Experience

22/28Counted

The work experience provides strong evidence for many of the vacancy requirements, particularly in optimization and analytical roles.

Supporting evidence

Built mixed integer linear programming models for various engineering problems
Developed and implemented a vehicle routing and scheduling software

Missing evidence

Ability to collaborate across diverse functions

Improvement hint

Highlight more examples of cross-functional collaboration and structured communication in job descriptions.

Education

10/10Counted

The educational background perfectly matches the requirement for a Master's degree or PhD in a relevant field.

Supporting evidence

Master of Science in Applied Mathematics
Doctor of Philosophy in Mathematics and Computer Science

Improvement hint

No improvement needed for education.

Language and location

ExcludedExcluded

Language and location requirements are not explicitly stated in the vacancy.

Improvement hint

No improvement needed as this section is not active.

Contact readiness

5/7Counted

Both email and phone are present, but the role or location context is not explicitly clear.

Supporting evidence

Email: lars.nielsen@example.com
Phone: +45 12 34 56 78

Missing evidence

Explicit role or location context in contact details

Improvement hint

Include a clear target role or location context in the contact details.

Nice-to-have bonus

ExcludedExcluded

No nice-to-have requirements are specified in the vacancy.

Improvement hint

No improvement needed as this section is not active.

Strengths

Strong alignment with educational requirements.
Excellent skills in Python and SQL, which are critical for the role.
Solid experience in optimization and analytical roles.

Risks

Lack of explicit evidence for collaboration across diverse functions.
Proactive mindset and structured communication are not strongly evidenced.

Critical issues

The resume lacks explicit mention of some must-have requirements such as 'Proactive mindset with structured communication' and 'Ability to collaborate across diverse functions'.
The contact readiness is slightly reduced due to the lack of explicit role or location context in the contact details.

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
Doctor of Philosophy in Mathematics and Computer Science

Strong Python and SQL skills

Exact

Score impact: 100/100

The candidate explicitly lists Python and SQL skills in the summary and skills sections.

Strong Python and SQL skills for optimization, data analysis, and automation

Understanding of modelling and optimization principles

Exact

Score impact: 100/100

The candidate's experience and skills demonstrate a strong understanding of optimization principles.

Applies linear and mixed-integer programming and algorithmic techniques to complex planning and network optimization problems

Ability to convert planning needs into user stories

Exact

Score impact: 100/100

The candidate explicitly mentions this ability in the summary.

Skilled in translating planning needs into user stories

Analytical strength to validate logic and troubleshoot issues

Strong

Score impact: 100/100

The candidate's experience in model validation and analysis supports this requirement.

Performed sensitivity analysis of MILP models

Proactive mindset with structured communication

Weak

Score impact: 100/100

The resume implies communication skills but lacks explicit evidence of a proactive mindset.

Communicating insights clearly across technical and business stakeholders

Ability to collaborate across diverse functions

Weak

Score impact: 100/100

The resume suggests collaboration but does not provide strong evidence across diverse functions.

Collaborated with various teams to align inputs and assumptions

Discipline in testing, documentation and data quality assurance

Strong

Score impact: 100/100

The candidate's experience and skills strongly support this requirement.

Emphasizes structured documentation, reproducible workflows, and data quality assurance

Recommendations

Enhance the summary to include explicit references to collaboration and communication skills.

High

Section: summaries

Score impact: +5

Improving the summary to highlight these skills will strengthen alignment with the vacancy requirements.

Provide more examples of cross-functional collaboration and structured communication in job descriptions.

Medium

Section: jobs

Score impact: +5

This will address the weak evidence for collaboration and communication skills.

Scoring notes

The analysis is conservative due to the lack of explicit evidence for some must-have requirements.