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Hands-on experience working on analytical platforms like SAS, R, Python, Azure ML. Proficient in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB. Should have worked on big data initiatives & scalable data architecture like Hadoop, Hive, Cloudera, Spark.
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RNN) in a work setting, not just academic projects Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
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Present or past Experience in analytic tools such as R, Python, AWS, and Databricks to build advanced analytic models, and exposure to accessing data from cloud platforms and big data systems such as Hadoop HDFS & Hive would be an advantage.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with R, Python, Big Data, and Data Warehousing. This role will be on-site 2-3 days per week in Nashville, TN. Open to candidates who are willing to relocate. Our industry-leading client is looking for a Digital Strategy and Analytics Manager to join their team.
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
$150,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Complex Data Parsing (Big Data Parser) and Natural Language Processing (NLP) Transforms on Azure a plus. Ideal candidate for this role is someone with a strong background in computer programming, statistics, and data science who is eager to tackle problems with large, complex datasets using the latest python, R, and/or Spark.
$158,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure). 5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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You are an expertly skilled leader in the Data and Analytics industry with a variety of experience in data architectures, patterns, and methodologies focused on Analytics Strategy, Data Governance & Master Data Management, Data Architecture(s), Big Data & Internet of Things, Data Visualization and Analytics and AI. You should be passionate about research, prototyping and staying current on emerging technologies through continued education and significant community participation.
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Analyze and mine very large quantities of data to find patterns and insights using multiple Analytical Stacks like R, Python, Spark, SAS, SQL etc. Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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ETL development experience with strong SQL background such as Python/R, Scala, Java, Hive, Spark, Kafka. Hands on-experience working with technologies like – GCP with data engineering – data flow / air flow, pub sub/ kafta, data proc/Hadoop, Big Query.
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Proficient programming skills such as Python, R, SQL, C/C. The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. Substantial experience operating big data infrastructure in a cloud-based ecosystem (Databricks preferred.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience as a hands-on contributor or in leading a team to develop multiple advanced analytics solutions or design/implement large data engineering programs in areas such as price optimization, underwriting risk management, market mix effectiveness analysis, agency management, customer lifetime value, customer segmentation, claims analytics, contact center analytics, etc.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Other languages e.g., Python/R/Scala will be helpful. Design and develop data solutions, such as data warehousing on Big Data platforms using ETL and visualization tools. Strong SQL command and the ability to write complex queries on big data sets.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Own the end-to-end architecture of the modern Safety/Pharmacovigilance Data Platforms which ingests data from the several systems across clinical, non-clinical systems and transforms it into insights for internal and external users using a scalable big data pipeline on GCP.
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