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The Center for Targeted Machine Learning and Causal Inference (CTML) in the School of Public Health's Division of Epidemiology and Biostatistics is an interdisciplinary hub that brings together data scientists, statisticians, computer scientists, and health professionals.
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Own the quality of end to end learning experience for our global flagship programs in the domain of analytics, data science and artificial intelligence. 1+ years of working experience in Data Science, Analytics or Artificial Intelligence.
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As an electrochemical expert in the organization, this Sr. Battery Engineer will be a key responsible individual for interpretation of electrochemical performance data and for validating interpretations via battery tear-downs.
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As a Data Scientist in Trading Operations, you will be embedded in the Quantitative Trading Strategy team. Bachelor’s degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field.
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The position will be working on a defined project to better understand the movements, migrations, habitat use, and population dynamics of wildlife and/or designing data workflows in the context of open source/data, data privacy, and data sovereignty.
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Epidemiologist / Data Analyst (Remote or Richmond, CA) The incumbent will act as the liaison between the CDPH Data Processing and Informatics (DPI) Team and CCB, responsible for data processing, management, and troubleshooting allowing for the integration of these solutions to improve COVID-19 surveillance capabilities and achieve organizational goals.
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The Donor Database Manager will also work closely with the CPO to identify opportunities to optimize data-related processes and to propose and implement solutions. Conduct regular data hygiene and quality checks to ensure data integrity and adherence to data protection and privacy regulations.
$90,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You have experience in ladder programming for PLCs, HMI development, controls circuit design, and data logging programming. Hands-on experience with controls circuit design and electrical schematics and knowledge of data logging software and data management systems.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Experience using statistical data analysis software (e.g., JMP, Tableau, R, Spotfire, etc. Work with internal customers in Strain Engineering, Fermentation & Formulation, Quality, and Regulatory to deliver high quality assay data that is in-spec and on time.
$135,982 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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The Principal Data Scientist: Statistical Programmer will report to the VP, Data Science and will focus on applying programming methodology for implementing statistical analyses using SAS for in-house deliverables and performing quality review of outsourced statistical deliverables.
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Create the system setup and data element configuration in Oracle HCM Cloud, Oracle Taleo ATS, and bridges the suite of Talent Management systems (SumTotal, ShiftAdmin, Phenom, and Salesforce) together to ensure accurate upstream and downstream data flows.
$149,315 a yearFull-timeRemoteExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Familiarity with Big Data technology like Apache Hadoop, NoSQL, Presto, BigQuery, BigTable, etc. As a Software Engineering Manager, you will identify, hire and build a world-class team of Software Engineers, Researchers, and Data Analysts to define, drive and execute on the creation of the next generation of Lilt’s data platform.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Candidates are preferred to hold a doctorate degree in computer science, health informatics, statistics, biostatistics, data science, epidemiology, engineering, operations research, economics, health services research, information sciences, or other computational fields, and/or a medical, dental, nursing, pharmacy or public health degree with demonstrated experience/training in the computational sciences or health informatics.
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data job Title: data center tech in San Pablo, CA
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