| Data Scientist (remote) at Remote, Remote, USA |
| Email: [email protected] |
| From: Priyanka, STELLENT IT [email protected] Reply to: [email protected] Data Scientist Remote Exp:15+ Must Have Skills Knowledge & Proficiency in Data Bricks & Python Masters or Ph.D. in Data Science, Engineering, Mathematics, or related field Strong Data Analytics experience We are currently looking for an experienced and dedicated Data Scientist to join our IoT & Digital Assessment team. The ideal candidate will have a strong background in data analytics and advanced proficiency in Data Bricks and Python. As a Data Scientist, you will work closely with various teams to turn data into information, information into insight, and insight into informed business decisions. Key Responsibilities: 1. Develop, implement, and maintain robust data pipelines and data architecture using Data Bricks and Python. 2. Perform complex statistical analyses and create predictive models to provide insights that impact strategic decisions. 3. Conduct exploratory data analysis from complex, disparate data sources to recognize patterns, and identify member behavior trends. 4. Collaborate with cross-functional teams to implement models and monitor outcomes. 5. Develop processes and tools to monitor and analyze model performance and data accuracy. 6. Use predictive modeling to increase and optimize Remote Assessment use cases. 7. Communicate data-driven insights and recommendations to stakeholders. Needs someone to come in to perform true Data Science not just machine learning PhD or Masters degree in Data Science (could also be Engineering, Physics any STEM related field) Has worked in Azure and Data Bricks Needs professional experience not working in their own world/certifications/etc Understands Python scripting, how to create a model based on first principles (not AI model) What is the problem they are trying to solve Code that up and get it working Some dev skills/understanding Proactive doesnt need budging or pushing from managers. Doesnt need manager oversight Tools they use (good to have these tools or similar but not 100% required) They use GeoPandas, MapPlotLiv, SyPi, KnownPi Geospactial, data mapping SQL good to be fluent in it but doesnt need to be a database expert Share ERD to show relationships between tables, windows functions and how theyve been used One pain point verification and validation in what they are doing Understand these differences Show they can perform verification as they build out and then validate it Needs someone who can think beyond the world of machine learning Keywords: artificial intelligence information technology |
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| Wed Jan 03 01:08:00 UTC 2024 |