The experience innovation company.

Senior Data Scientist

Data ScientistData ScientistFull TimeRemoteTeam 5,001-10,000Since 1997H1B SponsorCompany Site LinkedIn

Location

United States + 259 more

Posted

41 days ago

Salary

Not specified

Machine LearningDeep LearningTime Series AnalysisAnomaly DetectionClassificationRegressionFeature EngineeringSignal ProcessingPythonStatisticsA/b TestingModel ValidationRadar SensorsHealthcare Domain Knowledge

Job Description

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).