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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. What You'll Do Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company) Collaborate with client data science teams to enhance, scale, and operationalize existing models.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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AWS: EC2, Lambda, Batch, SageMaker, Redshift, Athena, Data wrangler, boto3, SQS, SNS, IAM, etc. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization.
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As part of the Last Mile Science & Technology organization, you’ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network.
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The University of Washington is a science and engineering leader in computation, modeling, and data sciences, from atmospheric sciences and oceanography to quantum chemical systems and protein design.
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5+ years of hands-on experience in Data Stewardship, Master Data Management, Data Quality, or Metadata Management field. Assists in the identification, metadata capture, and data quality rule documentation of Critical Data Elements, Reference Data, and Master Data, ensuring that data management standard methodologies are followed.
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High-quality science can only be produced when it includes different perspectives. Ph. D. in Computational Physics, Applied Physics, Applied Mathematics, Computer Science, Biological Science (e.g. Cell Biology, Biophysics, Bioengineering), or related science or engineering field; OR equivalent combination of degree and experience.
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RNA quality control assays – gel electrophoresis/capillary gel electrophoresis, nanodrop, dsRNA ELISA/dot blot, 5’ capping efficiency, RT-qPCR, nanoorange, qubit. Bachelor’s degree in Molecular Biology, Immunology, Microbiology or related science field.
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Write protocols, experimental summary reports, quality documents and other scientific literature associated with projectsAnalyze large, complex data sets using spreadsheets and/or other data analysis packages Qualifications Degree in bioengineering, biophysics, molecular biology or related field (more experienced.
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Competency using CE^3 and other software or CRM tools to collect, enter, and manage quality HCP data in a timely manner, track interactions, and plan future engagements with healthcare professionalsAbility to use the Medical on Call technology effectively.
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Data analysis, authoring technical reports, and presentation of results. Excellent documentation and data management skills. Either Upstream bioprocessing experience including aseptic technique, bioreactor operation and primary recovery OR Downstream bioprocessing experience using chromatography and tangential flow filtration.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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You are responsible for continual improvement of internal design team standards and quality assurance•Working with a team of architects and engineers, you are responsible for technical updates to our global data center basis of design & project specifications to drive standardization in the data center architectural performance.
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Experience building big data pipelines with Hadoop, Java, Scala, and Spark. -Use big data technology to evaluate and prioritize content discovery features. -Ensure successful deployment of features, code, data, and models to production.
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You will be responsible to design and build advanced data science and algorithm solutions to solve interesting and impactful business problems, such as fraud prevention, AML, user experience customization and optimization, campaign management, etc.
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data science quality jobs Company: Verizon in Seattle, WA
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