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Works with senior or lead data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions. Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
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Of experience in data science (predictive modeling and analytics) Exp. w/Python & R Exp. w/SQL Exp. w/Data Visualization & A/B testing Preferred Experience Postgres, Databricks, GraphQL Benefits & Perks Performance bonus Stock Options Unlimited Paid-Time Off 401k Match 100% Coverage for Medical, Dental, and Vision Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
$190,000 - $230,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A Bachelor’s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that includes 12 semester or 18 quarter units of coursework in data science, predictive analytics, research methods or statistical analysis.
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A Masters or Doctoral degree from an accredited college or university in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health may substitute for up to two (2) years of experience.
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Proficiency in SQL and a statistical programming language such as Python and/or R.Responsibilities Broad influence over the Decision Science Team’s agenda and roadmap that outlines how we can use causal inference and machine learning to develop capabilities that deliver hundreds of millions of dollars of business value.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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4+ years of experience working in data science, within free-to-play gaming industry. You'll use your expertise in data science and exploration to anticipate and counteract the actions of bad actors.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
RemoteExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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The desire to work with a diverse set of clients and engage in work outside of the traditional data science field. Creating and leading ad hoc interdisciplinary teams comprised of consultants from our Data Sciences, Human Factors, Health Sciences, and other engineering/science focused practices.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Educational Background: Possess a graduate degree in Data Science, Computer Science, Business Analytics, Statistics, Economics, Applied Mathematics, or a related quantitative field from a prestigious institution.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a member of this cross-functional group, you will collaborate with partners in product, machine learning data science, and engineering by providing analysis-driven, quantitative insights that will inform our products for years to come.
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Academic and/or experience in fields related to machine learning, deep learning and/or data science. Broader knowledge of large dataset processing pipelines and distributed computing architectures (Apache Beam/Airflow, Spark/Hadoop architectures.
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Work internally within KPMG's other areas within Tax, Audit and Advisory to advance the client understanding of Data Science, Artificial Intelligence, and Advanced Analytics; Work very closely with emerging technologies group within AI service providers (e.g., AWS, GCP, Azure) to provide a first-in-market solution approaches to complex business problems.
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As a data scientist, you will have ample opportunities to apply your data science skillset to unlock vast business opportunities by extracting key insights using a wide range of data sources, advanced statistical models, machine learning algorithms, and modern AI techniques, and translating solutions into meaningful, goal-oriented business actions.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS.
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data science jobs Title: data scientist in Los Angeles, Phenix-city, Alabama
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