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Experience with data analysis and graphical data presentation using the R programming language; or experience in a similar language such as Python and a willingness to learn R.
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Proficiency in programming languages such as Python, R, or SQL. 12+ years of experience in data science, machine learning, and statistical modeling, preferably in a marketing or advertising context.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Consultants, IT, R&D, Life Science, Civil, Engineering, Infrastructure, Software Development, Management, Automotive, Design and Architecture, Test/Test Management/Requirements, BI, Security, Mechanical design, Stress, Analysis & Styling, Electronics, Documentation, Manufacturing, HR, Strategic/Tactical procurement, Marketing, PLM, Optics, Education, consultant companies, consulting company, self-employed consultants, exciting assignments, and developing assignments.
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling. Backend service and tool development in Golang, Kotlin and/or Python.
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Proficient in programming languages such as Python, R, SQL, and SAS. The Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy.
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Ability to understand large data sets and use appropriate technologies and methodology to manipulate data (e.g. SQL, R, Python, ETL pipelines) 3+ years combined as a solution engineer, application engineer, data scientist, senior data analyst or a similar technical role at a fast-growing technology company.
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Experience using protein science to develop high quality, functional protein reagents for downstream assay development and discovery (multiple expression systems, protein purification, QC, optimization.
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Position Description:Calico is seeking an expert data scientist or computational biologist to join our multidisciplinary team of mass spectrometrists, biologists and computer scientists to become an integral part of our solution for proteomics.
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Infrastructure-as-code - Terraform, Kubernetes Helm charts, bash scripting and Python-based automation in production environments. Experience with machine learning/big data at scale (GPU, Docker and Kubernetes.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Leverage a broad stack of technologies — Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more — to reveal the insights hidden within huge volumes of numeric and textual data. As a Data Scientist at Capital One, you’ll be part of a team that’s 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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Experience in data-driven optimization, including familiarity with databases, data modeling, and data analysis tools and techniques (e.g., SQL, NoSQL, data warehouses, Snowflake, BigQuery, etc.
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Strong understanding and practical experience with data pipeline tooling and storage systems such as Dagster, DBT, BigQuery, Elasticsearch. Fluency in Python, SQL and GraphQL. Domain expertise in legal technology, medical records, and working with unstructured data.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Experience applying data science techniques, including time series, supervised learning (e.g., regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (e.g., clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
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Knowledge in use of statistical software packages such as Stata, R and SAS and understanding of programming languages such as Python. Postdoctoral Fellow/Research Scientist Positions.
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Principal Scientist – Materials Science – LA, SF or MA. This Principal Scientist position will be a subject matter expert and will be responsible for providing scientific and technical leadership and strategic direction to the evaluation of designated raw materials, in this case materials used in biopharmaceutical applications for cell culture and microbial fermentation, and their potential impact on product quality and process performance.
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data science scientist python r jobs Company: Collabera in San Francisco, Grove-city, Ohio
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