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Senior Data Scientist (Causal Inference)

Company: Harnham Search and Selection Ltd
Location: New York
Posted on: January 17, 2020

Job Description:

Senior Data Scientist (Causal Inference) New York, NY USD $170,000 This NYC startup in the medical imaging space is looking for a Data Scientist focused on causal inference to work on large diverse data sets to help pioneer the reduction of misdiagnoses in the medical space THE COMPANY Harnham are partnered with an innovative startup, with their founders coming from top universities, research institutions, and Fortune 500 companies, that uses -cutting edge deep learning technology to help improve diagnoses and enhance patient experiences - THE ROLE You will develop advanced statistical model focusing on causal inference You will implement and design code and build out to production using various advanced statistical techniques with access to petabytes of data. Work cross functionally with data engineers, computer vision engineers, and machine learning scientists YOUR SKILLS AND EXPERIENCE The successful Senior Data Scientist will likely have the following skills and experience: Heavy experience using Python, R, Spark, Hadoop and AWS for predictive modeling and data manipulation Commercial experience building statistical models in similar (environmental) setting Prior experience using causal inference Interest in or working knowledge of healthcare Bayesian statistics experience preferred Experience with analyzing large-scale datasets a must Neural network experience a plus (CNN, RNN, LSTM, etc.) MS or Ph.D. in Statistics or relevant field Deep Learning or Natural Language Processing experience a plus - THE BENEFITS A competitive base salary of $150,000-170,000 HOW TO APPLY Please register your interest by sending your r--sum-- to Elizabeth Sobel via the Apply link on this page. KEYWORDS Machine Learning, Statistics, Causal Inference, Healthcare, MRI

Keywords: Harnham Search and Selection Ltd, New York , Senior Data Scientist (Causal Inference), Other , New York, New York

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