Vitestro
Healthcare
MediorDataScientist
Neural analysis suggests this role is
optimal for mid candidates.
“Medior Data Scientist at Vitestro. Skills: Data Science, Probabilistic modeling, ML/AI, Data analysis. Transform data into actionable insights. Support product development”
What You'll Achieve.
Model clinically validated; Model used for decisions; Models accessible and trusted; Models allow independent usage; Models require minimal maintenance; Predictive maintenance signal validated; Proactive maintenance action; Design recommendation
Industry & Context.
Solve challenging problems
Authorized to work in Netherlands
What They're Looking For.
Must Have
Proficiency in Python, Standard ML/data stack, Statistics and probabilistic modeling, Causal inference, Probabilistic graphical models, Survival analysis, Sequential or time-dependent processes analysis, Work with large, complex, and imperfect datasets, Communication skills, Authorized to work in the Netherlands
Nice to Have
Experience in regulated industry, Predictive maintenance techniques experience, Process mining experience, Markov models experience, Workflow analysis techniques experience, Computer vision exposure, Multi-modal sensor fusion exposure, Medical imaging data exposure, Probabilistic programming frameworks knowledge, AWS data services experience
What You'll Do.
Transform data into actionable insights
Support product development
Support clinical validation
Support operational improvements
Develop probabilistic models
Develop analytical frameworks
Guide decision-making
Collaborate with stakeholders
Align on data quality
Align on validation approaches
Align on scalable deployment
Understand device data
Understand procedural workflows
Understand system performance KPIs
Navigate large datasets
Navigate imperfect datasets
Align with engineering teams
Align with product teams
Align with clinical teams
Align with data teams
Establish ways of working
Develop probabilistic puncture model
Support hypothesis-driven testing
Improve data quality insights
Ensure analytical results are reproducible
Document analytical results
Strengthen analytical capabilities
Share data modeling techniques
Conduct hands-on sessions
Validate models through field testing
Support product decisions
Support engineering decisions
Ensure models are accessible
Ensure models are trusted
Allow independent model usage
Minimize model maintenance
Identify predictive maintenance signal
Validate predictive maintenance signal
Result in proactive maintenance action
Result in design recommendation
How You'll Work.
Team & Collaboration
Engineering teams; Product teams; Clinical teams; Data teams; Multidisciplinary environment
Communication Scope
Explain complex topics; Technical stakeholders; Non-technical stakeholders
Full Job Description
About Vitestro Founded in 2017 in Utrecht, Vitestro is pioneering the future of blood collection with theAletta® Autonomous Robotic Phlebotomy Device™ (ARPD™). This groundbreaking medical device combines advanced multi-modal imaging (near-infrared, ultrasound, and Doppler ultrasound) with robotics and AI to perform the entire diagnostic blood draw procedure autonomously. By addressing critical healthcare staffing shortages and improving patient experience, Vitestro is transforming one of the most common and essential medical procedures. With more than 90 team members and growing rapidly, we are scaling our impact. As we placed our first devices with customers, we are now expanding our team to ensure successful implementation and long-term reliability. At Vitestro, we are committed to continuous innovation and improvement. General Role Description As our Medior Data Scientist, you play a key role in transforming complex device and procedural data into actionable insights that support product development, clinical validation, and operational improvements. You operate at the intersection of engineering, product, clinical, and data teams, developing probabilistic models and analytical frameworks that help guide decision-making across the organization. You actively collaborate with stakeholders to align on data quality, validation approaches, priorities, and scalable deployment of models. First months at Vitestro In your first months, your focus will be on understanding our device data, procedural workflows, and the KPIs that drive system performance. You will independently navigate large and imperfect datasets, align with stakeholders across engineering, product, clinical, and data teams, and establish effective ways of working for model development and deployment. You will develop a probabilistic puncture model in a Jupyter Notebook environment to support hypothesis-driven testing of software improvements. Alongside this, you validate assumptions, improve data quality
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