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BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Computational Biology, BioInformatics, or equivalent experience. You have a strong background in data science, graph mining, and graph simulations.
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A highly motivated individual, the Senior Principal Scientist will focus on strategic development and implementation of novel data science and predictive analytics methodologies to support clinical drug development.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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In this role, you’ll be embedded in our Commerce organization and work closely with product management as well as other cross-functional partners to help deepen the integration of the Cash App and Afterpay ecosystems and focus on innovative products like Afterpay Plus. In addition to that standard technical and communication skills we target in a Data Science candidate, an understanding of consumer shopping experiences is a huge value add for candidates considering this role.
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In this role, you will sit at the intersection of Data science, Engineering, and Product Management, & work collaboratively with different teams to transform data generated by our fleet of edge devices & other digital data into data products that provide actionable insights to our end customers.
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The ideal candidate will lead the development and implementation of advanced data science projects, focusing on building LLM (Large Language Model) applications for internal customers using LangChain.
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Master’s degree in Data Science, Mathematics, Statistics, Biostatistics, Bioinformatics, Biological Sciences, or related discipline. Quantum Leap Healthcare Collaborative (QLHC) is seeking an exceptional Data Scientist with strong analytical and computational skills to support multiple complex clinical trials in Oncology and COVID. The Data Scientist is responsible for performing data analytical and programming activities in these trials, which may be Phase I, II and III pharmaceutical trials and medical device trials evaluating new biomarkers and/or therapeutics.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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The Global Data Analytics (GDA) Principal Data Scientist is a highly motivated self-starter who is responsible for designing, building, and promoting models and algorithms that power the next generation of machine learning and data science products for the various organizations at Docusign.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. We are the data science team whose ML projects are leveraged for all customer facing messaging on Capital One’s homepage and mobile app.
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Adapt data science algorithms (supervised and unsupervised learning, decision trees, neural networks, AI based image processing and feature extraction, Bayesian learning, etc) for modeling clinical trial data to support drug development.
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Mid-level career experience in Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field. Full stack experience across analytics, data science, machine learning, and data engineering.
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Perform Python and Rust development using various machine learning and data science frameworks. Bachelor’s degree in Data Analytics, Data Science, Computer Science or a related technical field, followed by four years of experience developing machine learning and statistical models.
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Good verbal, interpersonal, and written communication English skills Operate well within fast-paced, small teams 5+ years working with machine learning algorithms, deep learning frameworks, and common data science libraries Powered by JazzHR.
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data science scientist jobs in San Francisco, Grove-city, Ohio
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