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Job Description The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Demonstrate proficiency in at least one analytical tool (R, SAS, SQL, or Python), with additional experience in AI and ML techniques, including neural networks, deep learning, and natural language processing, considered a plus.
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Professional experience in ML Ops, data engineering, or DevOps with a focus on machine learning systems. The ideal candidate will be instrumental in bridging the gap between machine learning development and production operations, optimizing the machine learning lifecycle from data preparation to model monitoring and retraining.
$187,500 a yearExpandUpdated Today - UpvoteDownvoteShare Job
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Conduct statistical analysis and machine learning techniques to address various business questions through marketing mix model, forecasting and custom analytic projects and help answer a wide variety of business issues including marketing, media, pricing and ROI optimization.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expert knowledge of MS Office, VBA, SQL/PL-SQL, SAS, and Tableau; Qlik Sense and SnowSql desired. Prepare presentation materials from various data sources that clearly and succinctly convey information to appropriate internal and external Blue Shield of California audiences; produce production and ad hoc reports and analytics under tight deadlines and within data governance and privacy guidelines.
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Experience with Snowflake, dbt, Airflow, SQL Server, Ataccama, and other relevant data tools and technologies. If you have a strong data product background and experience in providing end-to-end data lifecycle solutions using tools like Snowflake, dbt, Airflow, and BlackRock Aladdin, you could be the key player we need to plan business deliverables and help development teams execute efficiently and effectively.
$180,000 a yearExpandUpdated Today - UpvoteDownvoteShare Job
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. You will develop and implement image processing pipelines for multiview, multiscale image data generated from our hardware.
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Manage services from Public Cloud Hyperscalers like Microsoft Azure, Amazon AWS, Oracle OCI, Google GCP, and Alibaba Cloud on services like Cloud Compute, Storage Services, Data Services, DevOps, CI/CD, MicroServices, Service Mesh, Containerization, Artificial Intelligence, Machine Learning platforms and End-to-End Observability.
$203,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. Currently, we are looking for entry-level software programmers, Java Full Stack developers, Python/Java developers, Data Analysts/Data Scientists, Machine Learning engineers for full-time positions with clients.
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Expect to leverage SQL and data visualization tools like Tableau daily, with opportunities to work on larger projects involving data integration and automation using platforms like Databricks and Airflow.
$100,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Proficiency in building data pipelines using Python/SQL. Demonstrate experience with workflow orchestration tools like Airflow, or a willingness to learn. Experience with data management fundamentals, data storage principles, and cloud-based data warehouses such as cloud Storage (AWS S3, GCP Cloud Storage, Azure Blob Storage), GCP BigQuery, Snowflake, or similar platforms.
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Strong knowledge of enterprise applications (i.e., PLM, ERP, P2P, MES) and data analysis applications/tools (i.e., MS Excel, SQL, Tableau). Analyze both historical spend data and future spend forecasts to construct an indirect commodity hierarchy that will underpin procurement strategy and operations, quantify near-term spend performance opportunities, and act as input to organizational roadmap.
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The Engineering Manager will manage a team specializing in Data Science Applications, with connections to: Data Science, Applied Machine Learning (ML), Deep Learning, Deep Reinforcement Learning, Physics Inspired ML, Classification Systems, Natural Language Processing, Generative Artificial Intelligence, and Computer Vision.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Strong knowledge of enterprise applications (i.e., ERP, MES, PLM) and sophisticated data modeling techniques & applications (e.g., MS Excel, SQL, Tableau). Strong knowledge of enterprise applications (i.e., ERP, MES, PLM) and sophisticated data modeling techniques & applications (e.g., MS Excel, SQL, Tableau.
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