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What we look for:A minimum of 7 years experience in people analytics, data science, industrial/organizational psychology, or related field. Demonstrates quantitative, analytical, and research skills, with high proficiency and knowledge of data visualization tools (Power BI preferred), as well as statistical analysis tools.
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Familiarity with quantitative model development eco systems (R, Matlab, Python)Three or more years of experience in building data lake, cloud data platform leveraging cloud (GCP/AWS) cloud native architecture, ETL/ELT, and data integration.
$153,600 - $341,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Quantitative Supervision and Research (QSR) Team provides quantitative support to the Federal Reserve’s national supervisory programs in the areas of financial risk modeling and model risk management as well as to supervisory teams within the District’s Supervision + Credit group.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Education: Associate degree or higher in applied science or equivalent military training. Collaborate with the IT and cybersecurity teams to implement and maintain medical device security protocols, ensuring patient data confidentiality and protection against cyber threats.
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Proficiency in Large Language Model (LLM) inference deployment, with knowledge in relevant technologies and packages, such as ONNX, FasterTransformer/TensorRT-LLM, llama-cpp, Triton Inference Server and VLLM.Participation in Kaggle competitions focused on NLP, demonstrating your in-depth understanding of problems and data, as well as your ability to experiment with a diverse set of NLP techniques / models to find an effective solution.
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Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehousesExtensive experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP.
$181,000 - $241,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Lead new data science initiatives at the VA and at UCSF, serving multiple roles as data custodian, data consultant, statistical analyst, and scientific collaborator. Knowledge and experience with advanced statistical programming and data management using STATA, SAS, R, python, SQL or other programs.
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Preferred a MPH, MBA, MS, MA, RN, or RHIA in health science, quantitative social science, public health, health services research or business, or BA/BS with demonstrated equivalent work experience.
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Our summer programs include public speaking camps, college admissions prep programs, science camps, summer acting camp, writing camps, computer camp, leadership camp, video production camp, and college tours.
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Our customers are the most sophisticated analytical organizations in the world, including companies like Bristol Myers Squibb, Allstate, Bayer, and Red Hat. Backed by Sequoia Capital, Coatue Management, Bloomberg Beta, and Zetta Venture Partners, we are at the epicenter of the data science revolution, helping companies develop the next breakthrough in medicine, build better cars, or recommend the best song play next.
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License Required: California Clinical Laboratory Scientist or Clinical Genetic Molecular Biologist Scientist (for Applied Genomics and Hemoglobinopathy Labs Only) license required. Must be familiar with nucleic acid based testing, including the use of clean rooms for employment in the HLA, Applied Genomics and Hemoglobinopathy labs.
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Solid knowledge and bench skills in affinity-based assays from cell lysate, including (Co)IP-Western and biosensor-based quantitative (Co)IP, as well as IP-MS (DDA, DIA, and TMT). Carefully document experimental details, data, and findings.
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Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
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We encourage students pursuing degrees in Psychology, Sociology, Early Childhood Development, Education, Applied Behavior Analysis (ABA), Social Work, Counseling, and Mental Health to apply today.
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applied quantitative data science jobs Company: Abbvie in Oakland, CA
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