Data Analyst with spectroscopy background

ContractRemote
czvia Workable ATSPosted Jun 11, 2026
Match with my CV

Technical skills

PythonData analysisData scienceSRETechnical writing

Role signals

Legal

About this role

We are looking for a Data Analyst with expertise in spectroscopy (NIR required), chemometrics, and multivariate data analysis to support the monitoring, validation, and maintenance of authentication models, working closely with Data Scientists in a regulated environment.

Requirements

  • Strong background in spectroscopy and chemometrics (NIR mandatory; Raman / FTIR as a plus)
  • Proven experience in multivariate analysis and chemometric modelling (PCA, PLS‑DA, classification models)
  • Ability to monitor, interpret, and maintain model performance across spectral libraries
  • Hands‑on experience with ideally Python‑based data analysis (e.g. Jupyter notebooks, NumPy, SciPy, scikit‑learn)
  • Experience working with validated / regulated environments and producing inspection‑ready documentation
  • Candidates must declare criminal record extract not older than three months
  • Key Responsibilities (scope‑focused):
  • Interpret and monitor performance of authentication models within the spectral library
  • Support creation and review of model snapshots, including associated metadata checks
  • Collaborate closely with Data Scientists and technical teams on model refinement and updates
  • Contribute to model validation, release, and maintenance in support of Authentifield operations
  • Document methods, decisions, and changes in line with governance and compliance expectations
  • Data Science team coordination

Benefits

  • Broad range of activities, tasks, and projects
  • Flexible working conditions
  • Minimum 5 weeks of vacation
  • Paid sick days
  • Meal vouchers
  • Vouchers (B-day voucher, wedding, and new born surprise)
  • Contributions to wellness programs (multisport card)
  • Fishing for Friends program – our referral program
  • Refreshments in the D-ploy office
  • Further development and professional advancement
  • Friendly and international working environment
  • Company-sponsored events

Before you apply

  • 1Which parts of your CV prove experience with Python, Data analysis, and Data science?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?