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Data Pipeline Architecture: Design and implement scalable data pipelines using modern data engineering tools and technologies, such as Python, Kafka, AWS, and advanced SQL. Data Feed Integration: Analyze and engineer features into existing SMP and legacy data feeds, positioning them for transition to streaming telemetry systems.
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Or R, LLM, Machine Learning, Data Science/Engineering is a plus Experience with Data warehouses – including SQL databases, Snowflake and/or Databricks Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse stakeholders.
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Proficiency in geospatial data analysis using tools like ArcGIS.Preferred experience with geological software packages like Kingdom, Petra, or Petrel. Utilize geospatial data and tools like ArcGIS to analyze and visualize spatial information relevant to carbon management and permitting activities.
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We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts.
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Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands.
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Performs duties as assigned by Pharmacy Manager, Staff Pharmacist and Store Manager including utilizing pharmacy systems to enter patient and drug information, ensuring information is entered correctly, filling prescriptions by retrieving, counting and pouring pharmaceutical drugs, verifying medicine is correct, and checking for possible interactions.
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Familiarity with one or more Python data visualization libraries (Bokeh, Matplotlib, Seaborn) Familiarity with one or more Python data science and/or statistics libraries (Pytorch, Scikit learn, Statsmodels.
$114,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data engineering tools (e.g. dbt, Airflow, Airbyte) or data lake platforms (e.g. Snowflake, Databricks). Experience using data visualization tools and SQL to build and operationalize security metrics (e.g. Apache Superset.
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Collaborate and provide legal direction to staff on issues confronting the organization which may include, non-profit law, data privacy law, development and fundraising initiatives. Non-profit, data privacy and/or in-house experience a plus.
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The Prime Data Centers (PDC) Sr. Mechanical Engineer reports to the VP of Engineering and is responsible for mechanical engineering efforts related to a portfolio of data center projects which can include new construction, phased expansion, retrofits and upgrades, acquisition conversions, MEFP (Mechanical, Electrical, Fire protection, Plumbing) equipment standards, development of design standards, processes, and procedures.
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Provide Initial Screening services, crisis intervention services, and bridge appointments to students as part of Counseling Center team and our clinical model. Metropolitan State University of Denver is a unique, access-oriented campus community that values diversity, equity, and inclusion in all its forms.
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3+ years of professional experience in the fields of optical spectroscopy, gas kinetics, and/or data processing. Your responsibilities will include designing, managing, and running experiments, interpreting experimental data, optimizing efficiency, and developing innovative techniques for enhancing laser performance.
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Continued employment after your start date is contingent upon successful completion of ongoing training and supplemental screenings including, but not limited to:Basic Law Enforcement Training Course (BLEC), New Officer Field Training Program (FTO), in-service law enforcement training, weapons qualifications,annual drug screening,background reinvestigations and successfully maintaining Federal Reserve Law Enforcement Officercertification requirements.
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Lead and conduct experiments and data analyses supporting a variety projects such as cell culture, HTS/HCS assay development, robotic automation, drug discovery, and hit-to-lead drug validation studies.
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Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more.
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