Tecknoworks

Data Scientist

Tecknoworks

full-time

Posted on:

Location Type: Hybrid

Location: Cluj-NapocaRomania

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About the role

  • You will work on end-to-end ML projects involving structured and unstructured data, developing scalable models and actionable insights for business stakeholders.
  • You’ll work in a cross-functional squad with Data Scientists, ML Engineers, Data Engineers, and Project Lead.
  • Capacity to understand stakeholders, autonomy in execution, and collaborative problem-solving.
  • Some project industries: Energetic, Life Sciences, FinTech and more.
  • Tech ecosystem: AWS and/or Azure cloud, plus Python and SQL.
  • Delivery: outcome and quality driven.
  • Access to senior mentorship and a structured growth path, supporting the development and communication skills.
  • A consultant’s mindset and proactive attitude are essential; they allow you to foresee client requirements, spot opportunities, and provide concise, influential, data-based recommendations.
  • Influence: Aligns multiple stakeholders and supports decision-making.

Requirements

  • 3+ years' experience in data science with end-to-end ML delivery.
  • Strong Python skills (pandas, scikit-learn).
  • Solid SQL knowledge (preferably Redshift).
  • Practical experience with AWS (S3, Glue, Lambda, SageMaker).
  • Good communication skills and ability to work autonomously.
  • Ability to translate data into clear insights for non-technical stakeholders.
  • 5+ years' experience with advanced ML and solution ownership.
  • Experience leading solution design, modelling strategy, and cross-team alignment.
  • Ability to mentor junior/mid colleagues.
  • Experience with ML workflow orchestration (SageMaker Pipelines, Airflow, Step Functions).
  • Exposure complex pipelines and large-scale data architectures.
  • Proven track record of influencing technical decisions.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningPythonSQLdata scienceML workflow orchestrationdata modelingdata analysisdata visualizationscalable modelslarge-scale data architectures
Soft Skills
communicationcollaborative problem-solvingautonomystakeholder alignmentinfluencing decisionsmentoringproactive attitudeconsultant mindsettranslating data insightscross-team alignment