Job Location: remote
As a Senior Data Scientist at Qventus, you will have the opportunity to explore Qventus unique and rich Healthcare dataset to develop cutting edge ML based solutions. You will evaluate potential modeling approaches, build features together with data platform engineering partners, implement and operationalize algorithms with your fellow data scientists, and drive meaningful advances to the quality and breadth of our ML solutions to boost Qventus. You should be strongly motivated to have an impact in the company and dedicated to helping improve the quality of healthcare and patient outcomes. What we do can meaningfully change, and in some cases save, lives.
Core Responsibilities:
- Develop, operationalize, and tune impactful machine learning models in the healthcare space employing a wide array of modeling and statistical techniques.
- Collaborate with Product and Clinical partners to investigate, assess, and deploy POC solutions in strategic business areas.
- Design comprehensive experiments and analytics to measure the net impact of our interventions in healthcare settings.
- Create tools and resources to improve transparency into Data Science technical architecture and increase collaboration with engineering and analytics partners.
Key Qualifications:
- 5+ years research experience using a wide variety of statistical and machine learning techniques (particularly in operations research modeling, incl. MILP, Constraint Programming, etc.)
- Must have enterprise perioperative experience.
- Proven ability to work with domain experts to develop and tailor algorithmic solutions to problems in healthcare, particularly in the inpatient setting.
- Competent Python and strong SQL with deep knowledge of core machine learning libraries (pandas, scikit-learn, numpy etc.)
- Dedication to mentorship and growing strong collaborative data science teams.
- Interest and ability in learning and working in a fast paced dynamic environment across multiple technologies.
Nice to Have Skills:
- 3+ years experience of relative industry experience developing, operationalizing, and iterating on machine learning models and/or developing the core data science platform.
- Master s degree in Computer Science, Engineering, or related field, or equivalent training / experience.
- Working knowledge of data platform technologies such as: AWS Services (RDS, ECS/EKS, Lambda, S3), ETL Tools (DBT, Airflow), Data Warehouses (Snowflake, Databricks).
- Strong software development foundations – dedication to high code quality, stable architecture and an eye towards maintainability.
- Practical hands on experience with: NLP (especially operationalization in production models), Advanced machine learning techniques and tools (especially Tensorflow), modern Data Analytics Visualization tools (Looker preferred)
Submit CV To All Data Science Job Consultants Across India For Free
🔍 Explore All Related ITSM Jobs Below! 🚀
✅ Select your preferred "Job Category" in the Job Category Filter 🎯
🔎 Hit "Search" to find matching jobs 🔥
➕ Click the "+" icon that appears just before the company name to see the Job Detail & Apply Link 📝💼