| Technical Lead Data Scientist -- No GC at Remote, Remote, USA |
| Email: [email protected] |
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From: Rakesh, Blue Ocean Ventures [email protected] Reply to: [email protected] Technical Lead -- Data Scientist Knowledge and extensive experience with machine learning, statistical techniques, Python or R, and SQL is required. Candidate needs to have Healthcare domain knowledge Build classification, regression, and potentially NLP models that are responsive to business needs Coordinate and promote the discovery processes with stakeholders to identify the business requirements and the expected outcome Experience with data modeling and visualization will be considered Experience with data modeling and date exploration Extremely proficient in statistical analysis, quantitative analytics, machine learning techniques, forecasting/predictive analytics, multivariate testing, and optimization algorithms. Model and frame business scenarios that are meaningful and which impact on critical business and practice processes and/or decisions. Manage end-to-end process from understanding the business problem, selecting training data, model development and evaluation, to delivering/deploying models in the business setting. Present model results through summaries and presentations that tell a succinct, easy to understand story, focusing on key insights/findings relevant to stakeholders' goals and business needs. Contribute to ongoing development of a robust data science pipeline within the Google Cloud environment. Keep current with new technologies, methodologies, and applications related to ML model development and architectures. Develop innovative and effective approaches to solve analytics problems and communicates results and methodologies. Identify/create the appropriate algorithm to discover patterns. Experience in deployment of data science solutions Present findings in easy to understand terms for the business or clinical practice. Communicate and work with subject matter experts and organizational leadership. Coordinate the design and deployment of enhancements and fixes to machine learning systems as needed US healthcare knowledge or Call center application knowledge is plus. Qualifications and Skills PhD in relevant field, or Masters degree with 2+ years of relevant experience Demonstrated expertise in building classification and regression ML models Experience with working with health care administrative claims data (ICD-10, MS-DRG, CPT/HCPCS) Knowledge and experience with Github, Bitbucket, or equivalent versioning systems Excellent written and oral presentation skills Experience with OHDSI tools and the OMOP data models a plus Record of publishing in peer-reviewed journals is a plus Technical Skills Experience developing ML models and pipelines using cloud services from Google Cloud (preferred), AWS, or Azure Experience with ML frameworks/tools such as scikit-learn, pandas, Numpy, caret, TensorFlow, Keras, Spark, Spacy, Pytorch, XGBoost, Caffe/Caffe2, CNTK, etc. Experience with NLP tools/methods including OpenNLP, Stanford NLP, LSA, LDA, Gensim, FastText, NLTK, spaCy, etc. Knowledge of state-of-the-art ML algorithms such as BERT, ELMo, GPT, GPT-2, XLNET, T5, LSTMs, CRFs, etc., APIs, and open-source methods. Knowledge and experience with Github, Bitbucket, or equivalent version Keywords: machine learning rlang microsoft Technical Lead Data Scientist -- No GC [email protected] |
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| 07:49 PM 25-Feb-25 |