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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Experience in Natural Language Processing, Machine Learning Ops and data pipelines. Lead Machine Learning Engineer. Serve as a subject matter expert in machine learning and fintech domains.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Qlik/Attunity, GoldenGate, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
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State government/public sector experience on IT Projects in health and human services programs (such as Medicaid, MMIS, claims processing, eligibility, HHS analytics, data warehouse, etc.
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Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Modern data platforms, Snowflake, dbt, Fivetran and Airflow. Experience with stream-processing systems: Kafka, Storm, Spark-Streaming, etc.
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1+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Mid Level) 3+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Senior.
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Our work includes novel areas including machine learning/ AI, data visualization, and cloud technology. We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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At the undergraduate level, we offer bachelor's degrees in Sign Language Interpreting, Special Education, Human Learning and Development, and a minor in Educational Psychology. The Department of Learning Sciences at Georgia State University invites applications for a Clinical Instructor or Clinical Assistant Professor position in Special Education to begin in May 2024.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
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Develop and maintain software using Natural Adabas programming language; Natural Programming and/or NaturalONE Certificate or equivalent Adabas Basic/Fundamental Certificate or equivalent.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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The science and social studies teacher will be part of a team that is committed to learning and growing together through a process of collaboration and coaching. This teacher may be responsible for teaching middle school and high school science and social studies courses; in addition, many of our teachers get the opportunity to provide language development and acquisition support by teaching a section of Language Support.
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data science machine learning natural language processing jobs in Atlanta, KY, United Kingdom
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