Data Scientist

Posted 13 days agoViewed

📍 Location: US

🔍 Industry: Healthcare

🏢 Company: Sully.ai👥 11-50💰 Series A 3 months agoArtificial Intelligence (AI)Electronic Health Record (EHR)Machine Learning Hospital Apps Health Care Software

🪄 Skills: AWSPythonSQLArtificial IntelligenceCloud ComputingData AnalysisETLJavascriptMachine LearningNumpyAlgorithmsData engineeringData scienceREST APIPandasTensorflowData visualizationData modeling

Requirements:

Experience using GenAI and deep learning and building predictive models
Experienced setting up ETL pipelines for data transformations
Experience owning entire product analytics dashboards
Experience working directly with executive team for Business Intelligence
Strong proficiency in Python, SQL, and Javascript
Enthusiasm for solving complex problems, unblocking issues for customers, and embracing a “wear many hats” in a fast paced startup environment
Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field (Master’s or PhD a plus)

Responsibilities:

Help customers integrate and develop advanced recommendation and predictive models using our platform
Connect diverse data sources, experiment with cutting-edge machine learning methods
Ensure our customers successfully leverage data science to meet their business goals
Work closely with a wide range of stakeholders (internal and external) to tackle ranking and personalization challenges and play a pivotal role in guiding our product direction while fostering an innovative, inclusive engineering culture
Be an of the box thinker and problem solver, finding innovative ways to consolidate data from various sources into a consistent data lake to build analyses, inferences and insights on top of
Work on data for AI/ML model training, evaluate models LLM prompts and more
Design and iterate on recommendation and discovery models for our customers’ use cases
Rapidly analyze data and identify performance optimization opportunities
Experiment with state-of-the-art pre-trained models (image, language, audio, video) to enhance discovery and personalization
Build strong, collaborative relationships with customers’ technical teams and leadership to ensure successful, long-term partnerships

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