Position: Senior Data Scientist (healthcare project)
Company: DZH Agency
Experience required: 5y
English level: upper

**Requirements**
• At least 5 years of experience working with predictive and probabilistic models, clustering algorithms and other classification models (e.g., Logistic Regression, Neural Networks, K-Means and decision trees).
• Excellent hands-on SQL skills
• 3+ years manipulating and interpreting data in a health system or similar experience; knowledge in patient outcome from a clinical trial is highly valued
• Proficiency with databases, analytic, and visualization tools such as SQL Server , R, and Python
• Proven ability to work independently and manage multiple tasks efficiently and effectively in collaboration with other team members
 Strong ability to troubleshoot and recommend solutions;
• Comfortable with Pandas, NumPy, Scikit-learn, Gradient Boosting libraries, and Keras.
• Prior experience working on end-to-end, production-grade projects
• Knowledge of relational and NoSQL databases is an advantage

**Would be a plus**
• Coding experience
• Experience with probabilistic frameworks (PyMC3, Pyro, TensorFlow Probability)
• Knowledge of relational and NoSQL databases

**Responsibilities**
• Model, design and implement machine learning and data mining algorithms
• Perform deep data analysis to evaluate algorithm performance
• Perform ongoing optimization improvements
• Implement R&D best practices to develop high-standard online and offline process-based code
• Develop a comprehensive understanding of data structures and metrics from various sources and highlight key metrics for decision making
• Conduct end-to-end analysis that includes data gathering and requirements specification, processing, and analysis using technologies of Machine learning, Deep Learning, Neuronal network high-level modeling and statistical analyses techniques
• Work independently to draw insight and intelligence from various data sets
• Utilize SQL or NoSQL to perform advanced-level data extraction, transformation and data management;
• Adhere to all confidentiality and HIPAA requirements and procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position;

**Work conditions**
- Great management that provides absolute support of relevant ideas
- Opportunity for career and professional growth. Once a year, we offer you a chance to be promoted to a “new professional level” and regular results-based salary review
- Health is the matter: we provide 10 paid sick days, 20 working days of paid vacations
- Long-term engagement. We are very proud of people who have come to us and have stayed with us
- Сooperation вased on trust: we believe trust impacts business results. And we know that all our guys are responsible for their projects, timing, and quality of implementation.
- Homelike corporative culture: working with us you will feel at home — cozy, quiet, surrounded by care and warmth, we treat each other as a family.