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Valtech logo
Valtech

The experience innovation company.

Senior Data Scientist

Data ScientistData ScientistOtherRemoteSeniorTeam 5,001-10,000Since 1997H1B SponsorCompany SiteLinkedIn

Location

Worldwide

Posted

115 days ago

Salary

0

Seniority

Senior

Job Description

Senior Data Scientist

Valtech

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Data Scientist, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring a growth mindset and a drive to make a lasting impact. You will thrive in this role if you are: - A curious problem solver who challenges the status quo - A collaborator who values teamwork and knowledge-sharing - Excited by the intersection of technology, creativity and data - Experienced in Agile methodologies and consulting (a plus) Role responsibilities include: - Development and validation of models/algorithms for use cases such as: - Gait analysis and movement pattern recognition (gait pattern, stability, deviations, trend analyses) - New features such as delirium, complex risk indicators, clinical "events" - Experiment Design & Measurability: Definition of metrics, offline evaluation, golden sets, reproducibility, performance/robustness. - Feature Engineering & Representation Learning: Derive meaningful representations from radar data (incl. domain understanding). - Evaluation of new approaches for radar-based patient monitoring (classic ML, deep learning, probabilistic models, first principles, and hybrid methods). Qualifications - Several years of experience as a Senior Data Scientist / ML Engineer / Software Engineer (or equivalent) with demonstrable productive ML systems. - In-depth knowledge of ML (Supervised/Unsupervised, Sequences/Time Series, Anomaly Detection, Classification/Regression) and solid understanding of statistics/evaluation. - First-principles thinking: You can not only "apply" models, but also derive them, question them, and combine them with domain knowledge (hybrid approaches). - Scientific curiosity paired with pragmatism: forming hypotheses, testing experimentally, delivering results. Requirements - Radar/sensor experience (radar in particular, alternatively similar modalities with demanding signal/time series characteristics). - Experience with robust benchmarking (Regression-Suites, Golden Data Replays, A/B-Tests). - Domain know-how in the healthcare context (clinical workflows, outcome-oriented feature definition). Benefits - Private health insurance - Education program - Wellbeing program - Free beverages - Events - Competitive conditions - Challenging projects - Cool colleagues - Honest feedback

Job Requirements

  • Several years of experience as a Senior Data Scientist / ML Engineer / Software Engineer (or equivalent) with demonstrable productive ML systems.
  • In-depth knowledge of ML (Supervised/Unsupervised, Sequences/Time Series, Anomaly Detection, Classification/Regression) and solid understanding of statistics/evaluation.
  • First-principles thinking: You can not only "apply" models, but also derive them, question them, and combine them with domain knowledge (hybrid approaches).
  • Scientific curiosity paired with pragmatism: forming hypotheses, testing experimentally, delivering results.
  • Radar/sensor experience (radar in particular, alternatively similar modalities with demanding signal/time series characteristics).
  • Experience with robust benchmarking (Regression-Suites, Golden Data Replays, A/B-Tests).
  • Domain know-how in the healthcare context (clinical workflows, outcome-oriented feature definition).

Benefits

  • Private health insurance
  • Education program
  • Wellbeing program
  • Free beverages
  • Events
  • Competitive conditions
  • Challenging projects
  • Cool colleagues
  • Honest feedback

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