Senior Data Scientist
vor 7 Monaten
**Our vision**: Our vision is to make surgery safer and smarter to help patients and caregivers when it matters most. Caresyntax is the only solution you need to make surgery smarter, safer, and more profitable. Our vendor-agnostic surgical technology platform enables you to capture new insights from video and harness new and existing healthcare data across your enterprise to streamline workflows, improve care delivery, and enhance patient outcomes - in and around your OR.
**C.R.I.C., our values**:
Customer Focus |Prioritizing customer needs with empathy and passion for customer satisfaction.
Resilience |Ownership to take initiative, follow through, persevere and do the right thing, even when it is challenging.
Innovation |A pioneering mindset and data-driven approach to urgently solve business and market challenges.
Collaboration |Acting as one team to intentionally foster work, communication and knowledge sharing.
Tasks
The Senior Data Scientist is responsible for creating new and innovative techniques for clinicians, nurses and administrators to identify unnecessary variation and to eliminate it with appropriate data, nudges and digital interventions. The Senior Data Scientist will be an integral part of the AI team working closely with product managers, engineers and clinicians.
**Responsibilities**:
- Collect and clean data from various sources, including structured data from data lakes, transactional and analytics databases, Electronic Health Record systems and unstructured data from Video, Images and PDF documents using various tools, including large language models (LLMs)
- Analyze and interpret data using statistical and machine learning techniques, such as linear regression and decision trees.
- Build and maintain predictive models using techniques such as random forests and gradient boosting.
- Combine models through ensemble modeling
- Communicating your findings through technical reports and presentations using visualization tools such as Matplotlib, Seaborn, Bokeh.
- Deploy, test, validate, and maintain machine learning models in production by collaborating with data engineers and machine learning engineers.
- Perform extract, transform, load operations from data sources for modeling purposes.
- Design, perform and analyze A/B tests. Develop tools and testing models to ensure data accuracy
- Collaborate with cross-functional teams, including software engineers, product managers, and business analysts, to integrate your models into production systems.
**Requirements**:
- 5 to 7 years of experience working in the healthcare or life sciences industry
- Ph. D in data science, computer science, math, statistics, physics, biology, chemistry, electrical engineering or similar field
- 5+ years experience using Python, R, SQL. Experience with C, C++, Java, JavaScript is nice to have
- Strong expertise with data visualization, data analytics tools
- Proficiency with machine learning techniques and ensemble learning and when they should be used
- Demonstrated expertise with statistical and data mining techniques and when it is appropriate to use them
- Strong problem-solving skills
- Proficient technical writing and public speaking skills
At Caresyntax, we believe diversity goes far beyond checkboxes on a hiring form. Come as you are and with your unique knowledge You might just hold the piece we've been yearning to find, completing the puzzle of our team in a way we never imagined.
**Benefits**:
- We offer you a permanent working contract with a competitive remuneration package
- Time for relaxation - 28 paid vacation days, special leave, Christmas day free for all employees
- 10 Childsick days fully covered.
- Warm-hearted, flexible, and solution-oriented culture with open feedback culture with performance review to accelerate your career goals
- International environment with more than 30 different nationalities
- Work-Life-Balance: Flexible working hours
- Wellness (at)CX: Wellness Bonus A Wellness Stipend of 400 € net annual benefit to contribute to your personal health and wellness.
- Women (at)CX: Professional and intellectual knowledge exchange with highly talented and ambitious colleagues from all over the world
- You will get access to a learning management tool to attend trainings and improve your skills
- Access to the EAP (Employee Assistance Program) - Solution and support advice in regard to: mental and physical health, employment guidance, personal, family, financial and legal issues and questions.
- We offer you a vibrant workspace Regular team events included Christmas and summer parties
- Free coffee and drinks with weekly fresh veggies and fruit
- Free Corporate Massages
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