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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure SQL, Cosmo DB, Databricks and other legacy databases.
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Strong analytic skills related to working with Data Visualization Dashboard, Metrics and etc, experience on Tableau, Power BI or Looker tools; The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
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Experience with next-generation sequencing technologies and analysis of genomic data. We are seeking a highly motivated and experienced Principal Data Scientist to develop novel and innovative algorithms for converting the raw signal from Adela’s whole methylome platform into biological and clinically actionable insights and to provide technical leadership.
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Minimum of 5 years of experience in a Data Architect or Solutions Architect role with a focus on implementing cloud data warehouse (e.g. Snowflake, Databricks) solutions. Design generative AI powered software design lifecycle solutions for the identified use-cases across leading cloud data warehouses like Snowflake and Databricks.
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Principal Data Scientist 10+ years of industry experience and 3+ years as either a lead in a data science role or in a management position in data science with a PhD/MS in PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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8+ years' experience in software development, Data engineering, and. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
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Design Client generative AI powered software design lifecycle solutions for the identified use-cases across leading cloud data warehouses like Snowflake and Databricks. The Data Architect role offers the successful candidate the opportunity to pioneer the adoption of generative AI in design, development and migration of data applications.
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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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Experience with Spark, DBT, Machine Learning, Data Pipelining, Robotics, or autonomous systems are all a plus. Design, build, and maintain scalable data pipelines to ingest, process, and analyze large volumes of flight telemetry and other drone-related data.
$258,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Work closely and collaboratively with biologists to extract information from imaging and derive meaningful biological data. Be part of an integral team to develop a novel data analysis platform for extracting data from our UltraPCR platform that utilizes groundbreaking 3D imaging techniques.
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Intern Programming Data Analyst, Pharmacometrics. Gilead Sciences, Inc. is a research-based bio-pharmaceutical company that discovers, develops and commercializes innovative medicines in areas of unmet medical need.
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With assistance from the Principal Investigator - Dr. Manali Patel, Assistant Professor of Medicine (Oncology) at Stanford University , the Research Assistant will perform data collection, data entry, data management, simple data analysis, and creation of reports for funders as well as peer reviewed publications.
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Thorough understanding of data lake/warehouse architectures (BigQuery, Databricks, Redshift) Experience with building Looker data models (LookML), analytics engineering frameworks like dbt, orchestration tools like Airflow, schema design, and dimensional data modeling.
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Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc. You will work directly with researchers, data scientists, software engineers, and subject matter experts in the definition of new generative AI capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation.
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data job Title: analyst Company: Rose International in Menlo Park, CA
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