Data Scientist

Our Client is a fast-paced digital healthcare company that creates a growing portfolio of online health communities for people with chronic conditions. The company’s mission is to improve patients’ quality of life by connecting them with each other, with caregivers, and healthcare industry partners, building beneficial social interactions and meaningful health conversations. 

The core of the project is working with the data; the target is to redesign and enhance data-driven solutions. The team is responsible for expanding and optimizing the data flow and data pipeline architecture, modeling and analyzing data, interpreting trends or patterns in complex data sets, and translating them into product and marketing insights. 

Main projects in the Data Scientist pipeline are user clustering and data augmentation, identity resolution, ad click predictions, post content auto-moderation, and article recommendation systems.

Job Description

Must have:

• Experience with SQL and Python writing well-tested production code - 3+ years
• Knowledge of different fields of ML, especially NLP, supervised and unsupervised learning, recommendation systems, anomaly detection
• Experience turning statistical models into production-ready applications such as recommender systems 
• Proficiency in model development, model validation and model implementation
• Experience with extraction, processing, filtering and manipulating big data using data pipelines and cloud technologies
• Experience collaborating with software engineering teams
• Experience with Pandas

 Nice to have:

• Snowflake SDK
• Experience developing LLM-powered applications

• Experience with Web Development

   

Job Responsibilities

• Design data models and put them into production
• Perform initial data investigation, analysis and transformation
• Build architecture of ML solution to address business problems 
• Deploy and maintain ML system in production