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We are seeking a highly collaborative Principal Scientist- Data Science to join our Data Science team as a part of our new Regeneron Cell Medicine (RCM) group. In order to be considered for this role, you must have at least a Ph. D. and 5+ years, MS and 8+ years, or BS and 10+ years of relevant experience in computational biology, bioinformatics, data science, computer science, software engineering, engineering, or a related field.
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2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience. As a Language Data Scientist, you will start by diving deep into a couple of critical projects for Bedrock services to drive these projects forward.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The candidate must also have experience in data modelling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, Presto, and orchestration experience using Airflow. The ideal candidate will have extensive experience in PySpark and SQL and have worked with data pipelines using Amazon EMR or Amazon Glue. The candidate needs expertise in developing and managing data pipelines, particularly in a DataBricks DeltaLake format.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
$89,600Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
$245,000 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are looking for a Staff Data Scientist to partner with our product managers, designers, software engineers and business leaders to drive adoption for two new products, real-time driving behavior tracking and GPT-4 powered chatbot.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
$151,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, develop, test and implement new Power BI dashboards and visualizations with agile, portfolio, service management, and data visualization platforms (Smartsheet, Jira, ServiceNow, Clarity PPM, PowerBI, etc.
$90 - $97 an hourFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency with Databricks, Terraform, Data Streaming, DBT, RBAC (Role Based Access Control) a strong plus. Experience in cloud data engineering (S3, RDS, Redshift). Develops technical tools and programming that leverage available technologies (e.g., artificial intelligence, machine learning and big-data techniques) to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.
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2 years of experience with NLP/ML tools and packages, including pyTorch, TensorFlow, Scikit-Learn, and NLTK. 2 years of experience with coding, especially Python, and experience translating this work into building production-quality applications related to NLP/ML. 2 years of experience using Elasticsearch.
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Guide the transition from Tableau/Alteryx to Power BI/Fabric, ensuring seamless data migration (including data governance and quality control), report conversion, and system integration.
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Years of experience in data engineering roles, with a focus on Azure and Databricks technologies. Utilize Azure Data Factory (ADF) for orchestration, Azure Data Lake Storage (ADLS) for storage, and Azure DevOps for continuous integration and continuous deployment (CI/CD) processes.
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Design and implement data Clienthitecture leveraging technologies such as Databricks, Unity Catalog , Privacera, and Collibra. Data Platform Engineer with Databricks and Unity Catalog. Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality.
ExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace. In addition to your existing people analytics work experience, this role will combine your skills in psychology, data analytics and visualisation, to help create a more effective workplace.
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Experience working on Cloud Technologies like Azure Data Factory, ADLS2, Event Hub, Kafka, Databricks, Snowflake. The Data Engineer builds the infrastructure required for efficient extraction, transformation and loading of data from a wide variety of data sources using SQL, Python, Perl, Java, Scala, Kafka, Azure, and AWS technologies.
$110,400 - $149,400 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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