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As a VP Data Scientist, you will apply your strong knowledge of ML, NLP, Deep Learning, Knowledge Graphs and experience working with massive amounts of data. Use large scale data processing frameworks such as Spark, AWS EMR for feature engineering and be proficient across various data both structured and un-structured.
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The Data Center Engineer is responsible for delivery of best practice systems and problem resolution on all data center electrical and mechanical infrastructure (UPS, MV electrical systems, generators, cooling systems etc.
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Codexis, a biotechnology company based in Redwood City, CA, is looking to hire a Bioprocess Development Fermentation Scientist II. The Bioprocess Development Fermentation Scientist II will join our Upstream Bioprocess Development team and will be responsible for the design, execution, and development of fermentation processes.
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Experience utilizing graphical software (JMP, R, Python, or similar) and motivated in handling large data sets from high throughput fermentation platforms to make data-driven decisions. Senior Fermentation Scientist.
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Risk Management Data Scientist - ( 2400015A ) Demonstrated ability to work with large data sets using Python and SQL for data mining and machine learning. Knowledge of data science and machine learning methods and models (clustering, classification algorithms, neural networks, etc.
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The technology stack of this CSR data product build is Azure SQL Datawarehouse, Python, Databricks, and Azure Datalake at a high level. -Experience with Azure Data Factory, Databricks, or Mlflow.
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In this role, an employee will work with data services, data analysts and the data scientist team(s) to help the organization build out secure, scalable, fault-tolerant, and high performing cloud-based architecture to enable and sustain data-driven decisions.
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Technical Acumen and Data Driven: Leverage data and analytics to optimize Sales Enablement’s ROI for driving intended results for sales and customers. Global Alignment & Influence: Develop and execute the strategic direction for Sales Enablement across all countries and business units where Intuit has sales teams to ensure strategic alignment and serve as the bridge between strategy and execution for Sales Enablement priorities.
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The technology areas of focus for the role includes Data Center and end user networks, public and private Network Transport and Optical systems and emerging technologies (Switched-Ethernet, LTE, etc.
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As a Data Scientist Vice President you will have to understand data relationships, can design efficient data models, and take initiative and ownership of data driven tasks.
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Lead a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Expertise in architecting, designing, and building end to end data platforms in the GCP environment using BigQuery and other services while adhering to best practices guidelines such as open standards, cost, performance, time to market and minimize vendor lock.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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Provide expert-level hands on network infrastructure support for the enterprise-wide data communications network. Checkpoint Gaia MDS,URL Filtering/Application, Https Inspection, Policy, Traffic Analysis, Smart Monitor, Alerting.
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As a recognized master in data quality and data governance, this job uses expert level knowledge of the end-to-end master data processes and flows to design and implement master data management solutions in order to maintain a common, firm-wide data standard.
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Title: data scientist Company: Intuit in Allen, TX
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