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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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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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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.
$415,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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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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Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications.
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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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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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Supports data mapping and integrations between the CMS and other platforms and content management systems, such as the Digital Asset Management System (NetX) Writes SQL scripts as needed for data management and assisting users with complex queries.
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Responsibilities:Architect and implement a cloud-agnostic IaC framework using tools like Terraform, Ansible, Pulumi, or similar, ensuring seamless integration across AWS, Azure, GCP, and our private cloud within our on-premises data centers.
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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At present, clients range from ‘deep tech’ – data analytics, AI/ML, storage, cloud infrastructure, cybersecurity – to fintech, health tech and climate tech. Reporting chops using combination of Google Analytics (GA4), Excel, SEMrush, Hubspot, Google Data Studio, Pardot (Salesforce), Marketo, Tag Manager, (roughly in this order of importance.
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data warehouse jobs Title: scientist in San Francisco, CA
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