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Expertise in some of the following leading data and analytics technology stacks, such as Azure (ADF, Functions, Event Hub/Grid, Streaming, Synapse), AWS (Kinesis, Firehouse, Glue) Snowflake, DBT, Databricks, Informatica, DBT, Denodo.
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You’ll contribute to our overall data strategy, ensuring we remain competitive and innovative; You have at least 5 years of relevant experience as a Data Scientist in a Growth team at a high-growth, product-centric technology company.
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In this position the Data Scientist is responsible for developing, planning, and executing basic and applied research in bioinformatics as applied to biodiversity genomics and conservation biology, and provide bioinformatics and computational expertise and training to the Center for Conservation Genomics (CCG)/National Zoological Conservation Biology Institution (NZCBI) scientists.
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Data Engineer with Databricks, Delta Lake, ETL, Spark, Dataiku, Data Migration, SAP (e.g., SAP HANA, SAP BW), SharePoint, Python, Pyspark Exp with Databricks Certification. Work closely with data engineers and data architects to integrate Databricks Delta Lake data into Dataiku for downstream data processing and analytics.
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Must have good work experience knowledge in ADLS ADF Snowflake Databricks Azure AIML Purview APIs Collibra Data processing in Azure cloud. Minimum of 15 years IT experience in Data BIA solution architecting of which at least 3 years in Azure Snowflake Databricks.
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The Data Scientist position is assigned to the Metropolitan Police Department (MPD), Joint Strategic & Tactical Analysis Command Center (JSTACC), inside the Research and Evaluation Branch (REB.
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Experience with relational transactional databases (postgres, mysql), data warehouses (Google BigQuery, Snowflake, Databricks, Redshift, Clickhouse) and other analytical systems. You'll work with the latest GenAI models like OpenAI, Google Gemini, Meta's LLAMA and Anthropic to build amazing user experiences that make complex data analysis as easy as asking a question.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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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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As our first Data Scientist, you will leverage data to drive insights and strategies that will propel Hang's platform to new heights. Data Strategy: Contribute to the development of data collection strategies to optimize statistical efficiency and data quality.
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Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks About Us: InterSources Inc , a Certified Diverse Supplier, was founded in 2007 and offers innovative solutions to help clients with Digital Transformations across various domains and industries.
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Experiences in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data) Experiences in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense.
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First Round: 1 hour with Max (Talent Acquisition Manager) 30 mins with Scott (Head of Data) They have some of the foundational elements in place for a modern data stack (Redshift, dbt, Segment, Kubernetes, Docker, Airbyte, Mode) and an active data science practice.
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Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers, and doers are the professional publishing stewards of 2K’s portfolio, which currently includes several AAA, sports, and entertainment brands, including global powerhouse NBA️ 2K, renowned BioShock️, Borderlands️, Mafia, Sid Meier’s Civilization️ and XCOM️ brands; popular WWE️ 2K and WWE️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR️ 2K.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Responsible for utilizing big data technologies (e.g., Apache Hive, Apache, Pig, Apache Spark, MapReduce, Hadoop, and MongoDB) and knowledge of data science models to analyze large amounts of data and create valuable insights for supporting the mission.
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Implement and optimize cloud-based data solutions using AWS, Snowflake, and Databricks. Experience with additional data tools and frameworks, such as Apache Kafka, Airflow, or Spark. Knowledge of data governance and compliance standards (e.g., GDPR, HIPAA.
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data job Title: sales Company: Vector Marketing
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