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Net, C#, Android SDK, Kotlin, IOS Swift, AWS: EMR, S3, Redshift, Athena, Glue, DynamoDB, Lamda, CloudWatch, ElastiCache, Kinesis, SNS, SQS, Azure: HDInsight, Data Factory, Data Lake Analytics, Databricks, GCP, and Big Data Apache: Hadoop, Hive, Hue, Sqoop, Kafka, Spark, Airflow, SnowFlake, Python, Scala, Machine Learning: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Apache Mahout, Vertex AI, Keras, OpenNN, Theano.
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Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
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Develop data, analytic, and data science models using Python, PySpark, Large Language Models (LLM) algorithms, and working with other big data tools such as AutoML, BigQuery(BQ), BQML, DataPrep and Jupyter Notebook.
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2+ years experience on Big data pipelines/DAG tools like Airflow, dbt is required. This role will primarily be responsible for building out our analytics platform on Databricks, using dbt and Python for data transformations.
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A track record of commitment to prior employers 5+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role 5+ years of programming experience with modern languages such as Python, C#, Java, or Scala.
$143,000 - $231,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are in search of a passionate Data Scientist to support Sapients biomarker discovery service offerings and R&D effort with insights gained from analyzing clinical and multi-omics data.
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As a key member of their research and development team, you will leverage your expertise in computational chemistry and data analysis to support drug discovery efforts and advance their pipeline of therapeutic candidates.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Experience with big data tools and technical architecture. San Diego Community Power (SDCP) is seeking a seasoned Data Scientist to join our growing team of data transformation experts who will be responsible for collecting, organizing, and mining data to build AI and data science initiatives to deliver clean energy solutions that help our local and global communities.
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Experience using analytics/statistics to solve complex business problems - Big Data, Python / SQL, ML studio, Data visualization tools. Developing and managing credit risk decision strategies by creating data driven insights and analytics across customer lifecycle; i.e. New Accounts, Portfolio and Line Management and Collections, and across WEX products and lines of business.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Have extensive expertise with our modern software tools, libraries, and languages, with experience delivering production code at scale: Python, Java, Javascript, Dataflow, Cloud AI Platform, KubeFlow, Spring, React, BigQuery, BigTable,Postgres and Google Cloud.
$185,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We code primarily in Kotlin, Python, Java, and JavaScript and make use of many frameworks, including Dataflow, Cloud AI Platform, KubeFlow, Spring, and React. Our data storage layer includes BigQuery, BigTable, and Postgres.
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Amazon Web Services or Google Cloud; implementing continuous integration and deployment pipelines using GitHub; implementing APIs and services; and interacting with Core Java; Spring Frameworks; REST Web API; Unix/Linux Shell Scripting; AWS – S3 bucket, SNS, SQS, Lambda expression; Relational Databases with Hibernate; JMS; Postman; Soap UI; JIRA; GIT; JSON; XML/XSL; SSL; Web Application Security – all within an AGILE/SCRUM methodology.
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Linux, Windows, SaaS, Client-Server, Distributed computing, SOA, Data Warehousing, Ruby, Java, OO PERL, Apache/Tomcat, JQuery, Lucene, Linux, Classic. - Expert knowledge of Ruby, Java, OO PERL, Apache/Tomcat, JQuery, Lucene, Linux, Classic ASP, JavaScript, ASP.NET, C#, IIS, MS SQL and Windows Server.
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