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Significant experience as a Data Scientist or advanced analytical role. Expertise in Python, R, SQL, statistics, data mining. Visualize insights using Microsoft Office, Tableau, Python, R.
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Lead Data Scientist - Remote. Utilize machine learning, deep learning, and other data science techniques to design, develop and optimize algorithms that drive data insights and product performance.
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You're experienced with languages used to manipulate data and draw insights from large data sets (e.g. Python, R, SQL, etc.) You have proven ability as a full stack data scientist who develops, optimizes, and scales models for the production environment.
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Learn more at The Data Science and Digital Health Analytics & Insights team within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease.
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Using advanced neuroimaging techniques, you will lead the development and implementation of fMRI protocols, data analysis, and interpretation to provide valuable insights into the impact of mindfulness, compassion and IFS on brain function.
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As a data scientist you will develop and implement advanced ML and NLP algorithms to analyse large data sets, extract insights and develop new products and solutions for our analysts, investor clients and management.
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As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.
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Job Description Job Description You could be a data scientist anywhere. Jerry is building the first AllCar super app to help people optimize all aspects of owning a car – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, real-time driving insights, a repair marketplace, car diagnostics, and a GenAI-powered chatbot.
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A few years of structured problem solving experience (MBB, VC or PE experience preferred) followed by a few years as an operator (in product analytics, business analytics, business operations, data science, or related.
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Define, understand, and test levers to drive user adoption and engagement for the products you support through insights and recommendations. Transform and refine raw production data for analytical needs.
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Design, run, and analyze A/B experiments on new and existing features; extract key insights, share learnings and continue iterating. Work closely with brilliant leaders and team mates who have scaled companies like Nvidia, Better, Nerdwallet, Wayfair, Sofi, Robinhood, etc.
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The Chan Zuckerberg Imaging Institute is seeking an experienced AI/Machine Learning Research Scientistto support the New Algorithms for Cryo ET Team Leader to create innovative algorithms that address specific challenges in computer vision, interpreting and enhancing Cryo-EM data while developing a robust framework to guard against over-interpretation.
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We are looking for a Senior Data Scientist who will design studies and utilize cutting-edge predictive modeling techniques, test rigorous hypotheses, and turn data and insights into actionable plans.
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Being part of a talented team of Data Scientists with broad skills and applications, the Senior Data Scientist will work cross-functionally and collaboratively with teams across the enterprise through innovative machine learning, R&D, and cutting-edge platforms.
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We are seeking a highly motivated and capable Data Scientist with extensive experience and interest in design and analysis of pharmacoepidemiological studies to join our team. 2+ years of graduate level experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields.
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