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Expertise in at least two fields in Natural Language processing (Natural Language understanding, deep learning, Natural Language Generation, Large Language Models, and generative AI) or at least two fields in Data Engineering (ETL data pipeline, big data processing, data warehouse, NoSQL database, distributed/parallel systems, and cloud computing.
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Data entry or administrative assistant experience is not needed but can be a bonus We are recruiting those who have a background in health care, warehouse worker, delivery drivers, customer service, etc - we welcome all backgrounds so long as you're ready to learn JOB PAY up to $250hr.
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The Principal Data Scientist will be a key player in our Data Science team, spearheading AI initiatives, research, and development of algorithmic solutions to construct extensive, personalized recommendations and content generation models (visual and textual content) for our omni-channel retail platform.
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The team As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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Strong expertise in design and development on cloud data warehouses like Snowflake, Redshift, BigQuery and Big-Data platforms like Spark, Dremio, Hadoop, Hive. Apple is seeking an experienced, detail-minded data engineer to join our Worldwide Sales Team, Data Solutions & Initiatives (DSI.
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Disclaimer: The actual salary of a successful applicant may vary from posted ranges based on the candidate’s experience, knowledge, skills, and abilities, internal equity and alignment with market data, and other legitimate business reasons, including, but not limited to, compliance with applicable immigration law prevailing wages.
$155,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure SQL, Cosmo DB, Databricks and other legacy databases.
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Clinical Data Management, SAP Business Objects, SAS Programming, Python, Crystal Reports, Medidata Rave Study Build, clinical trial, oncology, Spotfire, Tableau, PowerBI, Windows batch. Provide robust technical SAS programming expertise to support data management, including developing, validating, implementing, and maintaining data review listings, metrics, dashboards, and reconciliation reports for all studies.
$60 an hourExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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You will be responsible for designing, building, and maintaining data pipelines using technologies like Fivetran, Azure Data Factory and Python into our Snowflake data warehouse and transforming the data using tools like dbt and Coalesce.
$151,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Working experience with the cloud-based data warehouse like (BigQuery, RedShift, Snowflake etc.) Expert level working knowledge of Data Lake technologies, data storage formats (Parquet, ORC, Avro) and query engines (BigQuery, Athena, Presto, Dremio), data schemas, optimization of queries and associated concepts for building optimized solutions at scale.
$432,400 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Strong analytic skills related to working with Data Visualization Dashboard, Metrics and etc, experience on Tableau, Power BI or Looker tools; The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
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B.E. B. Tech M. Tech/ ClientA in computer science, artificial intelligence, or a related field 6+ years of IT experience with a min of 3+ years in Data Science (AI/ML) Strong programming skills in Python Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML(Research Oriented.
$70 an hourExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Develop data preparation tools, build data pipelines for integration into Zscaler's Snowflake data warehouse, and establish data management standards in collaboration with Principal Engineers.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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The Company’s end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture.
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BS degree in Linguistic, Data, or Business Operations/Management related fields (E.g. Linguistics, Applied Linguistics, Computational Linguistics, Data Engineering, Data Science, etc.
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data warehouse jobs Title: data scientist Company: Usaa in San Jose, CA
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