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Solid understanding of Databricks fundamentals/architecture and have hands on experience in setting up Databricks cluster, working in Databricks modules (Data Engineering, ML and SQL warehouse.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry's business.
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Knowledge of Warehouse Management operations, data analytics, Industrial Engineering, warehouse types (ambient, temp control), warehouse layout/ design and Lean methods. Knowledge of Warehouse Management operations, data analytics, Industrial Engineering, warehouse types (ambient, temp control), warehouse layout/ design and Lean methods.
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Integrating the right technology solutions to allow for automated omnichannel orchestration, including but not limited to MDM, CRM, Data warehouse, CDP, etc. Owning the IT Omni-channel customer roadmap including orchestration and customer data platforms to orchestrate data-at-scale and assist the business to deploy and document the right tactics (Non-Personal vs.
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We are looking for a Lead Data Scientist to join our US Segment Advanced Analytics & AI team. As part of a 160+ member community of data scientists, John Hancock, and our parent Manulife, you will have an opportunity to network with experts across the globe.
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Understanding of common industry standards as related to ERP along with standard business practices as related to Accounting (Accounts Receivable, Accounts Payable, General Ledger, Fixed Assets), Inventory Management (Purchasing, Fulfillment, Warehouse Management) and/or Software/Services management functions (Revenue Recognition, Project Management, CRM.
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We seek an enthusiastic scientist with extensive hands-on experience, broad knowledge in a variety of advanced biophysical characterization techniques, and strong cross-functional collaborative mindset in a fast-paced environment.
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State Street's Anti Money Laundering (AML) technology team is looking for strong data warehouse and database engineer, who can apply their skills to help solve challenging financial crime compliance use cases.
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Design and implement custom bioinformatics data pipelines to analyze results from novel and established next-generation sequencing (NGS) assays. We are seeking an innovative, collaborative, and accomplished bioinformatics scientist to guide the development of novel therapies using our next-generation gene editing technologies.
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Review and analyze technical data from multiple sources to assess potential risks and compliance with current regulations. Strong data management experience. Masters degree in Materials Science, Polymer Chemistry, Biomedical Engineering , Biochemistry, Chemistry, or other medical related discipline.
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We are looking for a Staff Data Scientist to partner with our product, design, engineering and business leaders to drive adoption and retention for two of our emerging products. As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.
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Essential Experience & Job Requirements 5+ years of IT experience with major focus on data warehouse/database related projects Must have exposure to technologies such as dbt, Apache Airflow, Snowflake.
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We are seeking a highly skilled Principal Data Scientist who can perform and advise on technical analyses across the spectrum of research areas engaged by Pearl’s Data Science and Analytics team.
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This role is for a Senior Data Scientist on L.E.K.'s rapidly growing Data & Analytics team. Title: Senior Data Scientist. Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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We are seeking a highly motivated data scientist to join the Translational Discovery group. More specifically, this person will participate the design of genomic studies in preclinical and clinical research, implement cutting-edge informatics and statistical methods and tools to analyze the data including WGS/WES/targeted sequencing, RNAseq, proteomics data, metabolomics data, etc, and perform integrative analysis of genomic data and available clinical data in clinical trials.
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warehouse job Title: data scientist Company: Verizon Wireless in Boston, MA
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