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Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization. Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Fluency with Python and data analysis using modern frameworks for deep learning Pytorch, TensorFlow-Keras). For this position, we are seeking a demonstrated scientific leader with a consistent and outstanding record of creativity and performance in multimodal data integration and analysis for cancer biology R&D, evidenced by peer reviewed publications in top tier journals, patent applications, and/or publicly available code repository.
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4+ years’ experience with data visualization tools (e.g. Tableau, PowerBi, R Shiny) Sia Partners is looking for a talented Senior Data Scientist to support our activities within the Data Science Business Unit. You will be working alongside our Data Science consultants and our clients on Data Science topics, including data acquisition and exploration, creating relevant data models and presenting results to stakeholders.
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Partner with Brex’s product teams, data science and analytics teams to help them launch superior products backed by data insights. Build, improve and maintain Brex’s data platform and infrastructure: data warehouse & analytics (Snowflake), data streaming (Kafka), replication (CDC) and materialization (Flink), data jobs orchestration (Airflow), data observability, access & governance.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Need Sr Python Developer with Vue. JS who can go onsite once a week in San Francisco. Job Title: Senior Python with Vue. JS Developer. Data stores/tools: Oracle, PostgreSQL, SQLAlchemy, Redis, RabbitMQ, Solr.
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Skilled in statistical data analytics, including DOE, JMP, SPC, APC and FMEA, and experienced in Lean Manufacturing/Six Sigma methodologies and practices. We're seeking a highly skilled and experienced R&D Process Engineer to pioneer the development of processes enabling the application of diamonds in AI chips and power electronics.
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Fluent coding skills in one or more programming languages (preferably R and/or python). 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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Education / experience with quantitative analysis, statistics, and/or data science. Perform ad hoc analyses of healthcare data using MedInsight proprietary query and data visualization tools as well as use of Azure Databricks.
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Use software such as SQL, R, Stata, SAS, Python, or Snowflake. , R, Stata, SAS, Python, SPSS) is desirable but not required. QualificationsMaster’s or bachelor’s degree in economics, mathematics, data science, statistics, accounting, finance, healthcare administration or related fields.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have:5+ years of Machine Learning modeling experience.
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3 or more years experience using one or more other data tools like MS Excel, Tableau, Power BI, Stata, R or Python. 3-5 years of experience as a SQL Data Analyst, ideally in a healthcare environment.
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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 (, regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (, clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
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Candidates should be familiar with some of the following: subsurface imaging with passive seismic data, geomechanics, earthquake characterization, seismicity forecasting, seismic wave physics, big data processing, machine-learning-based processing, distributed fiber optic sensing, seismic sensors and deployment, hydraulic fracturing, and/or geothermal exploration.
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Computer programming skills in R, python or similar language. Proteomics Researcher-Krogan lab, UCSFThe Quantitative Biosciences Institute (QBI) and the lab of professor Nevan Krogan at the University of California, San Francisco is recruiting a basic science full-time Researcher position with experience in proteomics and mass spectrometry.
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