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The Growth Data & Strategy team is responsible for building the vision, driving data-driven programs, and defining tooling strategies to increase Sales, Customer Success (CS), and Account Management (AM) teams’ efficiency and effectiveness and improve the experience of businesses that use Square’s ecosystem of products.
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BPL is currently involved primarily in new data collection but also in working with previously-collected archival data. -Technical skills in psychophysiology, neuroimaging, behavioral coding, and eye-tracking are desirable as are statistical skills working with psychophysiological, structural neuroimaging, longitudinal, and time-series data.
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Experience with ETL/ELT processes, data integration, and data governance in a data warehouse environment. Performance Optimization: Optimize data warehouse performance through indexing, partitioning, and query optimization techniques, ensuring scalability and responsiveness for analytical and reporting needs.
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This degree prepares students for entry-‐ and mid-‐level roles in analytics, such as data analyst, data specialist, database analyst, program analyst, research analyst, or research associate.
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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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Other responsibilities may include utilizing nonclinical PK and PK/PD data (including use of modeling and simulation techniques) to project optimal clinical dosing regimens, doses based on pharmacological/clinical targets, human starting doses, and biomarker exploratory data (including biochemical and molecular data from quantification of mRNA, multi-panel flow cytometry, and protein expression) This position is Hybrid based and travel to our San Francisco office on a regular basis.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
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Experience in chemometrics and spectroscopic data analysis. Experience in use of complex spectroscopic data collection, analysis, and visualization. Carry out complex work plans for multiple tasks, lead data collection and analysis efforts, use findings to improve system performance, and suggest follow-on work.
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Technical Assistance:Work closely with IDEAL Research Coordinators (RCs) and Associates (RAs) to navigate technical questions that arise during data extraction, study design, econometrics, and results, providing direct feedback when possible and facilitating input from faculty when needed.
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Knowledge of analytics used to support purification development activities including HPLC, ELISA, SDS-PAGE and spectroscopy and proficiency to interpret data. Ability to operate and interpret data from an AKTA or alternative bench-scale chromatography development system and/or automated high throughput development systems, such as Tecan.
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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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Our Trial, White Collar and Investigations Business Unit boasts a diverse practice encompassing all facets of complex disputes, from pretrial resolution to trial, including business and commercial litigation, white collar defense and investigations, consumer protection and advertising, employment, entertainment, financial services litigation, health care litigation, intellectual property, patent litigation, and privacy and data security, among others.
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Solid understanding of data modeling concepts (star schema, snowflake schema) and data warehouse design principles. Strong expertise in data modeling, developing and implementing data mart and data warehouse solutions.
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Knowledge of VMS and HRIS architecture, including data flow between SAP Fieldglass, SAP Ariba, SAP S/4 HANA and SAP SuccessFactors and other systems. Lead with best practices while working with large SIs in the migration and integration of SAP ECC to S/4 HANA with SAP Fieldglass, ensuring smooth data flow and synchronization between systems using SAP CPI and API management tools.
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The activities of Digital Strategy and Enablement (DSE) span multiple therapeutic areas in drug development, a wide range of data modalities, and collaborations with a variety of experts, all with the goal to develop innovative healthcare solutions for patients and society.
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data warehouse jobs Title: scientist Company: Jobot in San Francisco, CA
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