Position: Data Scientist
Company: WebLegends
Experience required: 1y
English level: intermediate

You will work with a team of professionals to create a web application for those who care for patients. Our guys are developing a truly technological product using a cutting-edge stack and aren't afraid to conquer difficult peaks.  
 
 
 We believe that you have: 
 
- High level of analytical and problem-solving skills with strong attention to detail 
- Practical experience in machine learning algorithm development on real-world problems with a theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection 
- Strong fundamentals in statistical problem solving, algorithm design, and model development 
- Working knowledge with tabular, textual data, relational databases, including SQL (MS SQL) 
- Strong programming skills in Python 
- Experience with one or more machine learning libraries such as TensorFlow, Keras, PyTorch 
- Ability to extract meaningful business insights from data and identify the stories behind the patterns 
- Strong communication skills and the ability to naturally explain complex technical topics (especially causal topics) to everyone from data scientists to engineers to business partners 
- At least Intermediate English level  

Cool to have: 
- Working knowledge with Azure DevOps project organization 
- Hands-on experience with data engineering tools (Azure, AWS) 
- Working knowledge with pipelines organization and MLOps (AWS, Azure) 

We offer: 
- Flexible schedule  
- Horizontal management and communication directly with project stakeholders 
- 20 days of paid vacation 
- Paid sick-leaves 
- Annual activities budget — we endorse your wish to self-improvement 
- Remote work (hopefully we will meet soon in our Kyiv office and celebrate once we kill all ruzzian nazis).  

About the project: 
We help organizations to improve community care coordination and drive the transformation to value-based healthcare. Controlling patient outcomes and costs is difficult. Post-acute healthcare represents one of the fastest-growing areas of the healthcare system with the highest variation in patient outcomes and costs. So, our risk-sharing partnership approach helps providers to better manage the following: 
- Prevention of costly ED visits and hospitalizations; 
- Coordination with primary care physician services; 
- Level of care determinations; 
- SNF length of stay; 
- Factors that reduce readmissions; 
- Developing partnerships with high-quality skilled nursing and home health providers; 
- Transitioning and maintaining patients in communities where they reside and call home 
- Addressing social determinants and patient support.