D-ploy
Information Technology and Services
DataAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analyst at D-ploy. Skills: spectroscopy, chemometrics, multivariate analysis, model validation. Interpret and monitor performance of authentication models. Support creation and review of model snapshots”
Industry & Context.
interpret; monitor; maintain; refine; validate
What They're Looking For.
Must Have
background in spectroscopy and chemometrics, multivariate analysis and chemometric modelling, monitor, interpret, and maintain model performance, Python-based data analysis, working with validated / regulated environments, producing inspection-ready documentation
Nice to Have
spectroscopy (NIR Raman / FTIR as a plus), PCA, PLS‑DA, classification models
What You'll Do.
Interpret and monitor performance of authentication models
Support creation and review of model snapshots
Check associated metadata
Collaborate with Data Scientists and technical teams
Refine and update models
Contribute to model validation
Contribute to model release
Contribute to model maintenance
Support Authentifield operations
Coordinate Data Science team
How You'll Work.
Team & Collaboration
Data Scientists; technical teams
Full Job Description
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 _**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 * Competitive salary and various benefits
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